La quête de représentations optimales en traitement d'images et vision par ordinateur se heurte à la variété de contenu des données bidimensionnelles. De nombreux travaux se sont cependant attelés aux tâches de séparation de zones régulières, de contours, de textures, à la recherche d'un compromis entre complexité et efficacité de représentation. La prise en compte des aspects multi-échelles, dans le siècle de l'invention des ondelettes, a joué un rôle important en l'analyse d'images. La dernière décennie a ainsi vu apparaître une série de méthodes efficaces, combinant des aspects multi-échelle à des aspects directionnels et fréquentiels, permettant de mieux prendre en compte l'orientation des éléments d'intérêt des images (curvelets, shearlets, contourlets, ridgelets). Leur fréquente redondance leur permet d'obtenir des représentations plus parcimonieuses et parfois quasi-invariantes pour certaines transformations usuelles (translation, rotation). Ces méthodes sont la motivation d'un panorama thématique. Quelques liens avec des outils plus proches de la morphologie mathématique seront evoqués.
Ondelettes, représentations bidimensionnelles, multi-échelles et géométriques...Laurent Duval
La quête de représentations optimales en traitement d'images et vision par ordinateur se heurte à la variété de contenu des données bidimensionnelles. De nombreux travaux se sont cependant attelés aux tâches de séparation de zones régulières, de contours, de textures, à la recherche d'un compromis entre complexité et efficacité de représentation. La prise en compte des aspects multi-échelles, dans le siècle de l'invention des ondelettes, a joué un rôle important en l'analyse d'images. La dernière décennie a ainsi vu apparaître une série de méthodes efficaces, combinant des aspects multi-échelle à des aspects directionnels et fréquentiels, permettant de mieux prendre en compte l'orientation des éléments d'intérêt des images : Activelet, AMlet, Armlet, Bandlet, Barlet, Bathlet, Beamlet, Binlet, Bumplet, Brushlet, Camplet, Caplet, Chirplet, Chordlet, Circlet, Coiflet, Contourlet, Cooklet, Coslet, Craplet, Cubelet, CURElet, Curvelet, Daublet, Directionlet, Dreamlet, Edgelet, ERBlet, FAMlet, FLaglet, Flatlet, Fourierlet, Framelet, Fresnelet, Gaborlet, GAMlet, Gausslet, Graphlet, Grouplet, Haarlet, Haardlet, Heatlet, Hutlet, Hyperbolet, Icalet (Icalette), Interpolet, Lesslet (cf. Morelet), Loglet, Marrlet, MIMOlet, Monowavelet, Morelet, Morphlet, Multiselectivelet, Multiwavelet, Needlet, Noiselet, Ondelette/wavelet, Ondulette, Prewavelet, Phaselet, Planelet, Platelet, Purelet, Quadlet/q-Quadlet, QVlet, Radonlet, RAMlet, Randlet, Ranklet, Ridgelet, Riezlet, Ripplet (original, type-I and II), Scalet, S2let, Seamlet, Seislet, Shadelet, Shapelet, Shearlet, Sinclet, Singlet, Sinlet, Slantlet, Smoothlet, Snakelet, SOHOlet, Sparselet, Spikelet, Splinelet, Starlet, Steerlet, Stokeslet, SURE-let (SURElet), Surfacelet, Surflet, Symlet/Symmlet, S2let, Tetrolet, Treelet, Vaguelette, Wavelet-Vaguelette, Wavelet, Warblet, Warplet, Wedgelet, Xlet/X-let
This document summarizes Toru Tamaki's presentation on scattering in computer graphics (CG) and computer vision (CV). It discusses reflection models including diffuse/specular reflection and bidirectional reflectance distribution functions (BRDFs). It also covers subsurface scattering within materials, models for subsurface scattering including diffuse approximation and plane-parallel approximation, and measuring scattering properties including single and multiple scattering. Examples of subsurface scattering rendering from past CG papers are shown.
This document discusses methods for large-scale image annotation and categorization using weakly supervised training data. It describes how traditional methods do not scale well to large datasets. Recent methods exploit linear models and distance metric learning to better scale. Specifically, Canonical Contextual Distance learning finds linear transformations to maximize correlation between image and label features in a latent subspace, providing a probabilistic similarity measure. This allows image auto-annotation on large datasets.
This document summarizes scattering in computer graphics and computer vision, including:
- Types of scattering such as diffuse reflection, specular reflection, BRDF, subsurface scattering, single scattering, and multiple scattering.
- Models for subsurface scattering including diffuse approximation, plane-parallel approximation, and Donner's empirical BSSRDF model.
- Techniques for measuring scattering properties like BRDF and rendering effects of scattering in participating media and subsurface scattering.
Reconstruction and Clustering with Graph optimization and Priors on Gene netw...Laurent Duval
The discovery of novel gene regulatory processes improves the understanding of cell phenotypic responses to external stimuli for many biological applications, such as medicine, environment or biotechnologies. To this purpose, transcriptomic data are generated and analyzed from DNA microarrays or more recently RNAseq experiments. They consist in genetic expression level sequences obtained for all genes of a studied organism placed in different living conditions. From these data, gene regulation mechanisms can be recovered by revealing topological links encoded in graphs. In regulatory graphs, nodes correspond to genes. A link between two nodes is identified if a regulation relationship exists between the two corresponding genes. Such networks are called Gene Regulatory Networks (GRNs). Their construction as well as their analysis remain challenging despite the large number of available inference methods.
In this thesis, we propose to address this network inference problem with recently developed techniques pertaining to graph optimization. Given all the pairwise gene regulation information available, we propose to determine the presence of edges in the final GRN by adopting an energy optimization formulation integrating additional constraints. Either biological (information about gene interactions) or structural (information about node connectivity) a priori have been considered to restrict the space of possible solutions. Different priors lead to different properties of the global cost function, for which various optimization strategies, either discrete and continuous, can be applied. The post-processing network refinements we designed led to computational approaches named BRANE for "Biologically-Related A priori for Network Enhancement". For each of the proposed methods — BRANE Cut, BRANE Relax and BRANE Clust — our contributions are threefold: a priori-based formulation, design of the optimization strategy and validation (numerical and/or biological) on benchmark datasets from DREAM4 and DREAM5 challenges showing numerical improvement reaching 20%.
In a ramification of this thesis, we slide from graph inference to more generic data processing such as inverse problems. We notably invest in HOGMep, a Bayesian-based approach using a Variational Bayesian Approximation framework for its resolution. This approach allows to jointly perform reconstruction and clustering/segmentation tasks on multi-component data (for instance signals or images). Its performance in a color image deconvolution context demonstrates both quality of reconstruction and segmentation. A preliminary study in a medical data classification context linking genotype and phenotype yields promising results for forthcoming bioinformatics adaptations.
BEADS : filtrage asymétrique de ligne de base (tendance) et débruitage pour d...Laurent Duval
This paper jointly addresses the problems of chromatogram baseline correction and noise reduction. The proposed approach is based on modeling the series of chromatogram peaks as sparse with sparse derivatives, and on modeling the baseline as a low-pass signal. A convex optimization problem is formulated so as to encapsulate these non-parametric models. To account for the positivity of chromatogram peaks, an asymmetric penalty functions is utilized. A robust, computationally efficient, iterative algorithm is developed that is guaranteed to converge to the unique optimal solution. The approach, termed Baseline Estimation And Denoising with Sparsity (BEADS), is evaluated and compared with two state-of-the-art methods using both simulated and real chromatogram data.
Ondelettes, représentations bidimensionnelles, multi-échelles et géométriques...Laurent Duval
La quête de représentations optimales en traitement d'images et vision par ordinateur se heurte à la variété de contenu des données bidimensionnelles. De nombreux travaux se sont cependant attelés aux tâches de séparation de zones régulières, de contours, de textures, à la recherche d'un compromis entre complexité et efficacité de représentation. La prise en compte des aspects multi-échelles, dans le siècle de l'invention des ondelettes, a joué un rôle important en l'analyse d'images. La dernière décennie a ainsi vu apparaître une série de méthodes efficaces, combinant des aspects multi-échelle à des aspects directionnels et fréquentiels, permettant de mieux prendre en compte l'orientation des éléments d'intérêt des images : Activelet, AMlet, Armlet, Bandlet, Barlet, Bathlet, Beamlet, Binlet, Bumplet, Brushlet, Camplet, Caplet, Chirplet, Chordlet, Circlet, Coiflet, Contourlet, Cooklet, Coslet, Craplet, Cubelet, CURElet, Curvelet, Daublet, Directionlet, Dreamlet, Edgelet, ERBlet, FAMlet, FLaglet, Flatlet, Fourierlet, Framelet, Fresnelet, Gaborlet, GAMlet, Gausslet, Graphlet, Grouplet, Haarlet, Haardlet, Heatlet, Hutlet, Hyperbolet, Icalet (Icalette), Interpolet, Lesslet (cf. Morelet), Loglet, Marrlet, MIMOlet, Monowavelet, Morelet, Morphlet, Multiselectivelet, Multiwavelet, Needlet, Noiselet, Ondelette/wavelet, Ondulette, Prewavelet, Phaselet, Planelet, Platelet, Purelet, Quadlet/q-Quadlet, QVlet, Radonlet, RAMlet, Randlet, Ranklet, Ridgelet, Riezlet, Ripplet (original, type-I and II), Scalet, S2let, Seamlet, Seislet, Shadelet, Shapelet, Shearlet, Sinclet, Singlet, Sinlet, Slantlet, Smoothlet, Snakelet, SOHOlet, Sparselet, Spikelet, Splinelet, Starlet, Steerlet, Stokeslet, SURE-let (SURElet), Surfacelet, Surflet, Symlet/Symmlet, S2let, Tetrolet, Treelet, Vaguelette, Wavelet-Vaguelette, Wavelet, Warblet, Warplet, Wedgelet, Xlet/X-let
This document summarizes Toru Tamaki's presentation on scattering in computer graphics (CG) and computer vision (CV). It discusses reflection models including diffuse/specular reflection and bidirectional reflectance distribution functions (BRDFs). It also covers subsurface scattering within materials, models for subsurface scattering including diffuse approximation and plane-parallel approximation, and measuring scattering properties including single and multiple scattering. Examples of subsurface scattering rendering from past CG papers are shown.
This document discusses methods for large-scale image annotation and categorization using weakly supervised training data. It describes how traditional methods do not scale well to large datasets. Recent methods exploit linear models and distance metric learning to better scale. Specifically, Canonical Contextual Distance learning finds linear transformations to maximize correlation between image and label features in a latent subspace, providing a probabilistic similarity measure. This allows image auto-annotation on large datasets.
This document summarizes scattering in computer graphics and computer vision, including:
- Types of scattering such as diffuse reflection, specular reflection, BRDF, subsurface scattering, single scattering, and multiple scattering.
- Models for subsurface scattering including diffuse approximation, plane-parallel approximation, and Donner's empirical BSSRDF model.
- Techniques for measuring scattering properties like BRDF and rendering effects of scattering in participating media and subsurface scattering.
Reconstruction and Clustering with Graph optimization and Priors on Gene netw...Laurent Duval
The discovery of novel gene regulatory processes improves the understanding of cell phenotypic responses to external stimuli for many biological applications, such as medicine, environment or biotechnologies. To this purpose, transcriptomic data are generated and analyzed from DNA microarrays or more recently RNAseq experiments. They consist in genetic expression level sequences obtained for all genes of a studied organism placed in different living conditions. From these data, gene regulation mechanisms can be recovered by revealing topological links encoded in graphs. In regulatory graphs, nodes correspond to genes. A link between two nodes is identified if a regulation relationship exists between the two corresponding genes. Such networks are called Gene Regulatory Networks (GRNs). Their construction as well as their analysis remain challenging despite the large number of available inference methods.
In this thesis, we propose to address this network inference problem with recently developed techniques pertaining to graph optimization. Given all the pairwise gene regulation information available, we propose to determine the presence of edges in the final GRN by adopting an energy optimization formulation integrating additional constraints. Either biological (information about gene interactions) or structural (information about node connectivity) a priori have been considered to restrict the space of possible solutions. Different priors lead to different properties of the global cost function, for which various optimization strategies, either discrete and continuous, can be applied. The post-processing network refinements we designed led to computational approaches named BRANE for "Biologically-Related A priori for Network Enhancement". For each of the proposed methods — BRANE Cut, BRANE Relax and BRANE Clust — our contributions are threefold: a priori-based formulation, design of the optimization strategy and validation (numerical and/or biological) on benchmark datasets from DREAM4 and DREAM5 challenges showing numerical improvement reaching 20%.
In a ramification of this thesis, we slide from graph inference to more generic data processing such as inverse problems. We notably invest in HOGMep, a Bayesian-based approach using a Variational Bayesian Approximation framework for its resolution. This approach allows to jointly perform reconstruction and clustering/segmentation tasks on multi-component data (for instance signals or images). Its performance in a color image deconvolution context demonstrates both quality of reconstruction and segmentation. A preliminary study in a medical data classification context linking genotype and phenotype yields promising results for forthcoming bioinformatics adaptations.
BEADS : filtrage asymétrique de ligne de base (tendance) et débruitage pour d...Laurent Duval
This paper jointly addresses the problems of chromatogram baseline correction and noise reduction. The proposed approach is based on modeling the series of chromatogram peaks as sparse with sparse derivatives, and on modeling the baseline as a low-pass signal. A convex optimization problem is formulated so as to encapsulate these non-parametric models. To account for the positivity of chromatogram peaks, an asymmetric penalty functions is utilized. A robust, computationally efficient, iterative algorithm is developed that is guaranteed to converge to the unique optimal solution. The approach, termed Baseline Estimation And Denoising with Sparsity (BEADS), is evaluated and compared with two state-of-the-art methods using both simulated and real chromatogram data.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...Zilliz
Join us to introduce Milvus Lite, a vector database that can run on notebooks and laptops, share the same API with Milvus, and integrate with every popular GenAI framework. This webinar is perfect for developers seeking easy-to-use, well-integrated vector databases for their GenAI apps.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
2024 State of Marketing Report – by HubspotMarius Sescu
https://www.hubspot.com/state-of-marketing
· Scaling relationships and proving ROI
· Social media is the place for search, sales, and service
· Authentic influencer partnerships fuel brand growth
· The strongest connections happen via call, click, chat, and camera.
· Time saved with AI leads to more creative work
· Seeking: A single source of truth
· TLDR; Get on social, try AI, and align your systems.
· More human marketing, powered by robots
ChatGPT is a revolutionary addition to the world since its introduction in 2022. A big shift in the sector of information gathering and processing happened because of this chatbot. What is the story of ChatGPT? How is the bot responding to prompts and generating contents? Swipe through these slides prepared by Expeed Software, a web development company regarding the development and technical intricacies of ChatGPT!
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...Zilliz
Join us to introduce Milvus Lite, a vector database that can run on notebooks and laptops, share the same API with Milvus, and integrate with every popular GenAI framework. This webinar is perfect for developers seeking easy-to-use, well-integrated vector databases for their GenAI apps.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
2024 State of Marketing Report – by HubspotMarius Sescu
https://www.hubspot.com/state-of-marketing
· Scaling relationships and proving ROI
· Social media is the place for search, sales, and service
· Authentic influencer partnerships fuel brand growth
· The strongest connections happen via call, click, chat, and camera.
· Time saved with AI leads to more creative work
· Seeking: A single source of truth
· TLDR; Get on social, try AI, and align your systems.
· More human marketing, powered by robots
ChatGPT is a revolutionary addition to the world since its introduction in 2022. A big shift in the sector of information gathering and processing happened because of this chatbot. What is the story of ChatGPT? How is the bot responding to prompts and generating contents? Swipe through these slides prepared by Expeed Software, a web development company regarding the development and technical intricacies of ChatGPT!
Product Design Trends in 2024 | Teenage EngineeringsPixeldarts
The realm of product design is a constantly changing environment where technology and style intersect. Every year introduces fresh challenges and exciting trends that mold the future of this captivating art form. In this piece, we delve into the significant trends set to influence the look and functionality of product design in the year 2024.
How Race, Age and Gender Shape Attitudes Towards Mental HealthThinkNow
Mental health has been in the news quite a bit lately. Dozens of U.S. states are currently suing Meta for contributing to the youth mental health crisis by inserting addictive features into their products, while the U.S. Surgeon General is touring the nation to bring awareness to the growing epidemic of loneliness and isolation. The country has endured periods of low national morale, such as in the 1970s when high inflation and the energy crisis worsened public sentiment following the Vietnam War. The current mood, however, feels different. Gallup recently reported that national mental health is at an all-time low, with few bright spots to lift spirits.
To better understand how Americans are feeling and their attitudes towards mental health in general, ThinkNow conducted a nationally representative quantitative survey of 1,500 respondents and found some interesting differences among ethnic, age and gender groups.
Technology
For example, 52% agree that technology and social media have a negative impact on mental health, but when broken out by race, 61% of Whites felt technology had a negative effect, and only 48% of Hispanics thought it did.
While technology has helped us keep in touch with friends and family in faraway places, it appears to have degraded our ability to connect in person. Staying connected online is a double-edged sword since the same news feed that brings us pictures of the grandkids and fluffy kittens also feeds us news about the wars in Israel and Ukraine, the dysfunction in Washington, the latest mass shooting and the climate crisis.
Hispanics may have a built-in defense against the isolation technology breeds, owing to their large, multigenerational households, strong social support systems, and tendency to use social media to stay connected with relatives abroad.
Age and Gender
When asked how individuals rate their mental health, men rate it higher than women by 11 percentage points, and Baby Boomers rank it highest at 83%, saying it’s good or excellent vs. 57% of Gen Z saying the same.
Gen Z spends the most amount of time on social media, so the notion that social media negatively affects mental health appears to be correlated. Unfortunately, Gen Z is also the generation that’s least comfortable discussing mental health concerns with healthcare professionals. Only 40% of them state they’re comfortable discussing their issues with a professional compared to 60% of Millennials and 65% of Boomers.
Race Affects Attitudes
As seen in previous research conducted by ThinkNow, Asian Americans lag other groups when it comes to awareness of mental health issues. Twenty-four percent of Asian Americans believe that having a mental health issue is a sign of weakness compared to the 16% average for all groups. Asians are also considerably less likely to be aware of mental health services in their communities (42% vs. 55%) and most likely to seek out information on social media (51% vs. 35%).
AI Trends in Creative Operations 2024 by Artwork Flow.pdfmarketingartwork
Creative operations teams expect increased AI use in 2024. Currently, over half of tasks are not AI-enabled, but this is expected to decrease in the coming year. ChatGPT is the most popular AI tool currently. Business leaders are more actively exploring AI benefits than individual contributors. Most respondents do not believe AI will impact workforce size in 2024. However, some inhibitions still exist around AI accuracy and lack of understanding. Creatives primarily want to use AI to save time on mundane tasks and boost productivity.
Organizational culture includes values, norms, systems, symbols, language, assumptions, beliefs, and habits that influence employee behaviors and how people interpret those behaviors. It is important because culture can help or hinder a company's success. Some key aspects of Netflix's culture that help it achieve results include hiring smartly so every position has stars, focusing on attitude over just aptitude, and having a strict policy against peacocks, whiners, and jerks.
PEPSICO Presentation to CAGNY Conference Feb 2024Neil Kimberley
PepsiCo provided a safe harbor statement noting that any forward-looking statements are based on currently available information and are subject to risks and uncertainties. It also provided information on non-GAAP measures and directing readers to its website for disclosure and reconciliation. The document then discussed PepsiCo's business overview, including that it is a global beverage and convenient food company with iconic brands, $91 billion in net revenue in 2023, and nearly $14 billion in core operating profit. It operates through a divisional structure with a focus on local consumers.
Content Methodology: A Best Practices Report (Webinar)contently
This document provides an overview of content methodology best practices. It defines content methodology as establishing objectives, KPIs, and a culture of continuous learning and iteration. An effective methodology focuses on connecting with audiences, creating optimal content, and optimizing processes. It also discusses why a methodology is needed due to the competitive landscape, proliferation of channels, and opportunities for improvement. Components of an effective methodology include defining objectives and KPIs, audience analysis, identifying opportunities, and evaluating resources. The document concludes with recommendations around creating a content plan, testing and optimizing content over 90 days.
How to Prepare For a Successful Job Search for 2024Albert Qian
The document provides guidance on preparing a job search for 2024. It discusses the state of the job market, focusing on growth in AI and healthcare but also continued layoffs. It recommends figuring out what you want to do by researching interests and skills, then conducting informational interviews. The job search should involve building a personal brand on LinkedIn, actively applying to jobs, tailoring resumes and interviews, maintaining job hunting as a habit, and continuing self-improvement. Once hired, the document advises setting new goals and keeping skills and networking active in case of future opportunities.
A report by thenetworkone and Kurio.
The contributing experts and agencies are (in an alphabetical order): Sylwia Rytel, Social Media Supervisor, 180heartbeats + JUNG v MATT (PL), Sharlene Jenner, Vice President - Director of Engagement Strategy, Abelson Taylor (USA), Alex Casanovas, Digital Director, Atrevia (ES), Dora Beilin, Senior Social Strategist, Barrett Hoffher (USA), Min Seo, Campaign Director, Brand New Agency (KR), Deshé M. Gully, Associate Strategist, Day One Agency (USA), Francesca Trevisan, Strategist, Different (IT), Trevor Crossman, CX and Digital Transformation Director; Olivia Hussey, Strategic Planner; Simi Srinarula, Social Media Manager, The Hallway (AUS), James Hebbert, Managing Director, Hylink (CN / UK), Mundy Álvarez, Planning Director; Pedro Rojas, Social Media Manager; Pancho González, CCO, Inbrax (CH), Oana Oprea, Head of Digital Planning, Jam Session Agency (RO), Amy Bottrill, Social Account Director, Launch (UK), Gaby Arriaga, Founder, Leonardo1452 (MX), Shantesh S Row, Creative Director, Liwa (UAE), Rajesh Mehta, Chief Strategy Officer; Dhruv Gaur, Digital Planning Lead; Leonie Mergulhao, Account Supervisor - Social Media & PR, Medulla (IN), Aurelija Plioplytė, Head of Digital & Social, Not Perfect (LI), Daiana Khaidargaliyeva, Account Manager, Osaka Labs (UK / USA), Stefanie Söhnchen, Vice President Digital, PIABO Communications (DE), Elisabeth Winiartati, Managing Consultant, Head of Global Integrated Communications; Lydia Aprina, Account Manager, Integrated Marketing and Communications; Nita Prabowo, Account Manager, Integrated Marketing and Communications; Okhi, Web Developer, PNTR Group (ID), Kei Obusan, Insights Director; Daffi Ranandi, Insights Manager, Radarr (SG), Gautam Reghunath, Co-founder & CEO, Talented (IN), Donagh Humphreys, Head of Social and Digital Innovation, THINKHOUSE (IRE), Sarah Yim, Strategy Director, Zulu Alpha Kilo (CA).
Trends In Paid Search: Navigating The Digital Landscape In 2024Search Engine Journal
The search marketing landscape is evolving rapidly with new technologies, and professionals, like you, rely on innovative paid search strategies to meet changing demands.
It’s important that you’re ready to implement new strategies in 2024.
Check this out and learn the top trends in paid search advertising that are expected to gain traction, so you can drive higher ROI more efficiently in 2024.
You’ll learn:
- The latest trends in AI and automation, and what this means for an evolving paid search ecosystem.
- New developments in privacy and data regulation.
- Emerging ad formats that are expected to make an impact next year.
Watch Sreekant Lanka from iQuanti and Irina Klein from OneMain Financial as they dive into the future of paid search and explore the trends, strategies, and technologies that will shape the search marketing landscape.
If you’re looking to assess your paid search strategy and design an industry-aligned plan for 2024, then this webinar is for you.
5 Public speaking tips from TED - Visualized summarySpeakerHub
From their humble beginnings in 1984, TED has grown into the world’s most powerful amplifier for speakers and thought-leaders to share their ideas. They have over 2,400 filmed talks (not including the 30,000+ TEDx videos) freely available online, and have hosted over 17,500 events around the world.
With over one billion views in a year, it’s no wonder that so many speakers are looking to TED for ideas on how to share their message more effectively.
The article “5 Public-Speaking Tips TED Gives Its Speakers”, by Carmine Gallo for Forbes, gives speakers five practical ways to connect with their audience, and effectively share their ideas on stage.
Whether you are gearing up to get on a TED stage yourself, or just want to master the skills that so many of their speakers possess, these tips and quotes from Chris Anderson, the TED Talks Curator, will encourage you to make the most impactful impression on your audience.
See the full article and more summaries like this on SpeakerHub here: https://speakerhub.com/blog/5-presentation-tips-ted-gives-its-speakers
See the original article on Forbes here:
http://www.forbes.com/forbes/welcome/?toURL=http://www.forbes.com/sites/carminegallo/2016/05/06/5-public-speaking-tips-ted-gives-its-speakers/&refURL=&referrer=#5c07a8221d9b
ChatGPT and the Future of Work - Clark Boyd Clark Boyd
Everyone is in agreement that ChatGPT (and other generative AI tools) will shape the future of work. Yet there is little consensus on exactly how, when, and to what extent this technology will change our world.
Businesses that extract maximum value from ChatGPT will use it as a collaborative tool for everything from brainstorming to technical maintenance.
For individuals, now is the time to pinpoint the skills the future professional will need to thrive in the AI age.
Check out this presentation to understand what ChatGPT is, how it will shape the future of work, and how you can prepare to take advantage.
The document provides career advice for getting into the tech field, including:
- Doing projects and internships in college to build a portfolio.
- Learning about different roles and technologies through industry research.
- Contributing to open source projects to build experience and network.
- Developing a personal brand through a website and social media presence.
- Networking through events, communities, and finding a mentor.
- Practicing interviews through mock interviews and whiteboarding coding questions.
Google's Just Not That Into You: Understanding Core Updates & Search IntentLily Ray
1. Core updates from Google periodically change how its algorithms assess and rank websites and pages. This can impact rankings through shifts in user intent, site quality issues being caught up to, world events influencing queries, and overhauls to search like the E-A-T framework.
2. There are many possible user intents beyond just transactional, navigational and informational. Identifying intent shifts is important during core updates. Sites may need to optimize for new intents through different content types and sections.
3. Responding effectively to core updates requires analyzing "before and after" data to understand changes, identifying new intents or page types, and ensuring content matches appropriate intents across video, images, knowledge graphs and more.
A brief introduction to DataScience with explaining of the concepts, algorithms, machine learning, supervised and unsupervised learning, clustering, statistics, data preprocessing, real-world applications etc.
It's part of a Data Science Corner Campaign where I will be discussing the fundamentals of DataScience, AIML, Statistics etc.
Time Management & Productivity - Best PracticesVit Horky
Here's my presentation on by proven best practices how to manage your work time effectively and how to improve your productivity. It includes practical tips and how to use tools such as Slack, Google Apps, Hubspot, Google Calendar, Gmail and others.
The six step guide to practical project managementMindGenius
The six step guide to practical project management
If you think managing projects is too difficult, think again.
We’ve stripped back project management processes to the
basics – to make it quicker and easier, without sacrificing
the vital ingredients for success.
“If you’re looking for some real-world guidance, then The Six Step Guide to Practical Project Management will help.”
Dr Andrew Makar, Tactical Project Management
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Transformations en ondelettes 2D directionnelles - Un panorama
1. Motivations Intro. Early days Oriented & geometrical End
Transformations en ondelettes 2D directionnelles
—
Un panorama
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré
IFP Énergies nouvelles
07/02/2013
36e journée ISS France
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
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Local applications
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Figure: Geophysics: surface wave removal (before)
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Local applications
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(b) Offset (traces)
Figure: Geophysics: surface wave removal (after)
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4. Motivations Intro. Early days Oriented & geometrical End
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Agenda
◮ A quindecennial panorama of improvements ( 1998)
◮ sparser representations of contours and textures through
increased spatial, directional and frequency selectivity
◮ from fixed to adaptive, from low to high redundancy
◮ generally fast, compact, informative, practical
◮ lots of hybridization and small paths
◮ Outline
◮ introduction
◮ early days
◮ oriented & geometrical:
◮ directional, ± separable (Hilbert/dual-tree)
◮ directional, non-separable (conic)
◮ directional, anisotropic scaling (curvelet, contourlet)
◮ adaptive: lifting
◮ conclusions
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
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In just one slide
Figure: A standard, “dyadic”, separable wavelet decomposition
Where do we go from here? 15 years, 300+ refs in 30 minutes
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
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Images are pixels (but...):
Figure: Image as a linear combination of pixels
◮ suffices for (simple) data (simple) manipulation
◮ counting, enhancement, filtering
◮ very limited in higher level understanding tasks
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
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Images are pixels (but...):
A review in an active research field:
◮ (partly) inspired by:
◮ early vision observations
◮ sparse coding: wavelet-like oriented filters and receptive fields
of simple cells (visual cortex), [Olshausen et al.]
◮ a widespread belief in sparsity
◮ motivated by image handling (esp. compression)
◮ continued from the first successes of wavelets
◮ aimed either at pragmatic or heuristic purposes
◮ known formation model or unknown information
◮ developed through a quantity of *-lets and relatives
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
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Images are pixels, but different
Figure: Different kinds of images
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
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Images are pixels, but different
Figure: Different kinds of images
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
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Images are pixels, but might be described by models
To name a few:
◮ edge cartoon + texture:
[Meyer-2001]
inf E (u) = |∇u| + λ v ∗, f =u+v
u Ω
◮ edge cartoon + texture + noise:
[Aujol-Chambolle-2005]
v w 1
inf F (u, v , w ) = J(u) + J ∗ +B∗ + f −u −v −w L2
u,v ,w µ λ 2α
◮ piecewise-smooth + contours + geometrical textures +
unmodeled (e.g. noise)
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
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Images are pixels, but resolution/scale helps
Figure: RRRrrrr: coarse to fine! [Chabat et al., 2004]
◮ notion of sufficient resolution for understanding
◮ coarse-to-fine and fine-to-coarse links
◮ impact on more complex images?
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
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Images are pixels, but deceiving
Figure: Real world image and illusions
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
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Images are pixels, but resolution/scale helps
Important influence of the context
◮ use of scales/multiresolution associated with...
◮ a variety of methods for description/detection/modeling
◮ smooth curve or polynomial fit, oriented regularized
derivatives, discrete (lines) geometry, parametric curve
detectors (such as the Hough transform), mathematical
morphology, empirical mode decomposition, local frequency
estimators, Hilbert and Riesz, Clifford algebras, optical flow
approaches, smoothed random models, generalized Gaussian
mixtures, hierarchical bounds, etc.
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
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Images are pixels, and need efficient descriptions
◮ for: compression, denoising, enhancement, inpainting,
restoration, fusion, super-resolution, registration,
segmentation, reconstruction, source separation, image
decomposition, MDC, sparse sampling, learning, etc.
4
10
3
10
2
Magnitude
10
1
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−1
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100 200 300 400 500 600 700 800 900 1000
Index
Figure: Real world image (contours and textures) and its singular values
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Images are pixels: a guiding thread (GT)
Figure: Memorial plaque in honor of A. Haar and F. Riesz: A szegedi
matematikai iskola világhírű megalapítói, court. Prof. K. Szatmáry
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
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Guiding thread (GT): early days
Fourier approach: critical, orthogonal
Figure: GT luminance component amplitude spectrum (log-scale)
Fast, compact, practical but not quite informative (no scale)
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
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Guiding thread (GT): early days
Scale-space approach: (highly)-redundant, more local
Figure: GT with Gaussian scale-space decomposition
Gaussian filters and heat diffusion interpretation
Varying persistence of features across scales
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
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19. Motivations Intro. Early days Oriented & geometrical End
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Guiding thread (GT): early days
Scale-space approach: (less)-redundant, more local
Figure: GT with Gaussian scale-space decomposition
Gaussian filters and heat diffusion interpretation
Varying persistence of features across scales + subsampling
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama
20. Motivations Intro. Early days Oriented & geometrical End
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Guiding thread (GT): early days
Differences in scale-space with subsampling
Figure: GT with Laplacian pyramid decomposition
Laplacian pyramid: complete, reduced redundancy, enhances image
singularities, low activity regions/small coefficients, algorithmic
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama
21. Motivations Intro. Early days Oriented & geometrical End
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Guiding thread (GT): early days
Isotropic wavelets (more axiomatic)
Consider
Wavelet ψ ∈ L2 (R2 ) such that ψ(x) = ψrad ( x ), with x = (x1 , x2 ),
for some radial function ψrad : R+ → R (with adm. conditions).
Decomposition and reconstruction
1 x−b
For ψ(b,a) (x) = a ψ( a ), Wf (b, a) = ψ(b,a) , f with reconstruc-
tion:
+∞
f (x) = 2π
cψ Wf (b, a) ψ(b,a) (x) d2 b da
a3
(1)
0 R2
if cψ = (2π)2 ˆ
|ψ(k)|2 / k 2 d2 k < ∞.
R2
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
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22. Motivations Intro. Early days Oriented & geometrical End
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Guiding thread (GT): early days
Multiscale edge detector, more potential wavelet shapes (DoG,
Cauchy, etc.)
Figure: Example: Marr wavelet as a singularity detector
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Guiding thread (GT): early days
Definition
The family B is a frame if there exist two constants 0 < µ1 µ2 <
∞ such that for all f
2
µ1 f | ψm , f |2 µ2 f 2
m
Possibility of discrete orthogonal bases with O(N) speed. In 2D:
Definition
Separable orthogonal wavelets: dyadic scalings and translations
ψm (x) = 2−j ψ k (2−j x − n) of three tensor-product 2-D wavelets
ψ V (x) = ψ(x1 )ϕ(x2 ), ψ H (x) = ϕ(x1 )ψ(x2 ), ψ D (x) = ψ(x1 )ψ(x2 )
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama
24. Motivations Intro. Early days Oriented & geometrical End
10/17
Guiding thread (GT): early days
DWT, back to orthogonality: fast, compact and informative, but...
is it sufficient (singularities, noise, shifts, rotations)?
Figure: Separable wavelet decomposition of GT
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama
25. Motivations Intro. Early days Oriented & geometrical End
11/17
Oriented, ± separable
To tackle orthogonal DWT limitations
◮ orthogonality, realness, symmetry, finite support (Haar)
Approaches used for simple designs (& more involved as well)
◮ relaxing properties: IIR, biorthogonal, complex
◮ M-adic MRAs with M integer > 2 or M = p/q
◮ alternative tilings, less isotropic decompositions
◮ with pyramidal-scheme: steerable Marr-like pyramids
◮ relaxing critical sampling with oversampled filter banks
◮ complexity: (fractional/directional) Hilbert, Riesz, phaselets,
monogenic, hypercomplex, quaternions, Clifford algebras
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama
26. Motivations Intro. Early days Oriented & geometrical End
12/17
Oriented, ± separable
Illustration of a combination of Hilbert pairs and M-band MRA
H{f }(ω) = −ı sign(ω)f (ω)
1
0.8
0.6
0.4
0.2
0
−0.2
−0.4
−0.6
−0.8
−4 −3 −2 −1 0 1 2 3
Figure: Hilbert pair 1
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama
27. Motivations Intro. Early days Oriented & geometrical End
12/17
Oriented, ± separable
Illustration of a combination of Hilbert pairs and M-band MRA
H{f }(ω) = −ı sign(ω)f (ω)
1
0.5
0
−0.5
−4 −3 −2 −1 0 1 2 3
Figure: Hilbert pair 2
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama
28. Motivations Intro. Early days Oriented & geometrical End
12/17
Oriented, ± separable
Illustration of a combination of Hilbert pairs and M-band MRA
H{f }(ω) = −ı sign(ω)f (ω)
2
1.5
1
0.5
0
−0.5
−1
−1.5
−2
−4 −3 −2 −1 0 1 2 3 4
Figure: Hilbert pair 3
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama
29. Motivations Intro. Early days Oriented & geometrical End
12/17
Oriented, ± separable
Illustration of a combination of Hilbert pairs and M-band MRA
H{f }(ω) = −ı sign(ω)f (ω)
3
2
1
0
−1
−2
−4 −3 −2 −1 0 1 2 3
Figure: Hilbert pair 4
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama
30. Motivations Intro. Early days Oriented & geometrical End
12/17
Oriented, ± separable
Illustration of a combination of Hilbert pairs and M-band MRA
H{f }(ω) = −ı sign(ω)f (ω)
Compute two wavelet trees in parallel, wavelets forming Hilbert
pairs, and combine, either with standard 2-band or 4-band
Figure: Examples of atoms and associated frequency partinioning
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama
31. Motivations Intro. Early days Oriented & geometrical End
13/17
Oriented, ± separable
Figure: GT for horizontal subband(s): dyadic, 2-band and 4-band DTT
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama
32. Motivations Intro. Early days Oriented & geometrical End
13/17
Oriented, ± separable
Figure: GT (reminder)
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama
33. Motivations Intro. Early days Oriented & geometrical End
13/17
Oriented, ± separable
Figure: GT for horizontal subband(s): 2-band, real-valued wavelet
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama
34. Motivations Intro. Early days Oriented & geometrical End
13/17
Oriented, ± separable
Figure: GT for horizontal subband(s): 2-band dual-tree wavelet
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama
35. Motivations Intro. Early days Oriented & geometrical End
13/17
Oriented, ± separable
Figure: GT for horizontal subband(s): 4-band dual-tree wavelet
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama
36. Motivations Intro. Early days Oriented & geometrical End
14/17
Directional, non-separable
Non-separable decomposition schemes, directly n-D
◮ non-diagonal subsampling operators & windows
◮ non-rectangular lattices (quincunx, skewed)
◮ use of lifting scheme
◮ non-MRA directional filter banks
◮ steerable pyramids
◮ M-band non-redundant directional discrete wavelets
◮ building blocks for
◮ contourlets, surfacelets
◮ first generation curvelets with (pseudo-)polar FFT, loglets,
directionlets, digital ridgelets, tetrolets
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama
37. Motivations Intro. Early days Oriented & geometrical End
14/17
Directional, non-separable
Directional wavelets and frames with actions of rotation or
similitude groups
1
ψ(b,a,θ) (x) = a ψ( 1 Rθ x − b) ,
a
−1
where Rθ stands for the 2 × 2 rotation matrix
Wf (b, a, θ) = ψ(b,a,θ) , f
inverted through
∞ 2π
−1
f (x) = cψ da
a3
dθ d2 b Wf (b, a, θ) ψ(b,a,θ) (x)
0 0 R2
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama
38. Motivations Intro. Early days Oriented & geometrical End
14/17
Directional, non-separable
Directional wavelets and frames:
◮ possibility to decompose and reconstruct an image from a
discretized set of parameters; often isotropic
◮ examples: Conic-Cauchy wavelet, Morlet/Gabor frames
Figure: Morle Wavelet (real part) and Fourier representation
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama
39. Motivations Intro. Early days Oriented & geometrical End
15/17
Directional, anisotropic scaling
Ridgelets: 1-D wavelet and Radon transform Rf (θ, t)
Rf (b, a, θ) = ψ(b,a,θ) (x) f (x) d2 x = Rf (θ, t) a−1/2 ψ((t−b)/a) dt
Figure: Ridgelet atom and GT decomposition
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama
40. Motivations Intro. Early days Oriented & geometrical End
15/17
Directional, anisotropic scaling
Curvelet transform: continuous and frame
◮ curvelet atom: scale s, orient. θ ∈ [0, π), pos. y ∈ [0, 1]2 :
−1
ψs,y ,θ (x) = ψs (Rθ (x − y ))
√
ψs (x) ≈ s −3/4 ψ(s −1/2 x1 , s −1 x2 ) parabolic stretch; (w ≃ l)
C 2 in C 2 : O(n−2 log3 n)
◮ tight frame: ψm (x) = ψ2j ,θℓ ,x n (x) where m = (j, n, ℓ) with
sampling locations:
θℓ = ℓπ2⌊j/2⌋−1 ∈ [0, π) and x n = Rθℓ (2j/2 n1 , 2j n2 ) ∈ [0, 1]2
◮ related transforms: shearlets, type-I ripplets
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama
41. Motivations Intro. Early days Oriented & geometrical End
15/17
Directional, anisotropic scaling
Curvelet transform: continuous and frame
Figure: A curvelet atom and the wegde-like frequency support
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama
42. Motivations Intro. Early days Oriented & geometrical End
15/17
Directional, anisotropic scaling
Curvelet transform: continuous and frame
Figure: GT curvelet decomposition
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama
43. Motivations Intro. Early days Oriented & geometrical End
15/17
Directional, anisotropic scaling
Contourlets: Laplacian pyramid + directional FB
Figure: Contourlet atom and frequency tiling
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama
44. Motivations Intro. Early days Oriented & geometrical End
15/17
Directional, anisotropic scaling
Contourlets: Laplacian pyramid + directional FB
Figure: Contourlet GT (flexible) decomposition
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama
45. Motivations Intro. Early days Oriented & geometrical End
15/17
Directional, anisotropic scaling
Additional transforms
◮ previously mentioned transforms are better suited for edge
representation
◮ oscillating textures may require more appropriate transforms
◮ examples:
◮ wavelet and local cosine packets
◮ best packets in Gabor frames
◮ brushlets [Meyer, 1997; Borup, 2005]
◮ wave atoms [Demanet, 2007]
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama
46. Motivations Intro. Early days Oriented & geometrical End
16/17
Lifting representations
Lifting scheme is an unifying framework
◮ to design adaptive biorthogonal wavelets
◮ use of spatially varying local interpolations
◮ at each scale j, aj−1 are split into ao and d o
j j
◮ wavelet coefficients dj and coarse scale coefficients aj : apply
λ λ
(linear) operators Pj j and Uj j parameterized by λj
λ λ
dj = djo − Pj j ajo and aj = ajo + Uj j dj
It also
◮ guarantees perfect reconstruction for arbitrary filters
◮ adapts to non-linear filters, morphological operations
◮ can be used on non-translation invariant grids to build
wavelets on surfaces
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama
47. Motivations Intro. Early days Oriented & geometrical End
16/17
Lifting representations
λ λ
dj = djo − Pj j ajo and aj = ajo + Uj j dj
n = m − 2j−1 m m + 2j−1
Gj−1
aj−1 [n] aj−1 [m]
Lazy
ao [n]
j do [m]
j
G j ∪ Cj = ∪
1 1
− −
2 2
Predict
1
dj [m] 1
Update 4 4
aj [n]
Figure: Predict and update lifting steps and MaxMin lifting of GT
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama
48. Motivations Intro. Early days Oriented & geometrical End
16/17
Lifting representations
Extensions and related works
◮ adaptive predictions:
◮ possibility to design the set of parameter λ = {λj }j to adapt
the transform to the geometry of the image
◮ λj is called an association field, since it links a coefficient of ajo
to a few neighboring coefficients in djo
◮ each association is optimized to reduce the magnitude of
wavelet coefficients dj , and should thus follow the geometric
structures in the image
◮ may shorten wavelet filters near the edges
◮ grouplets: association fields combined to maintain
orthogonality
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama
49. Motivations Intro. Early days Oriented & geometrical End
17/17
Conclusion: on a panorama
A panorama of 2-D images to a 3-D scene is not seamless:
◮ If you only have a hammer, every problem looks like a nail
◮ Maslow law of instrument can not be used anymore
◮ The map is not the territory: incomplete panorama
◮ from mild hybridization to GMO-let?
◮ awaited progresses on asymptotics, optimization, models
◮ l0 not practical, toward structured sparsity
◮ learned frames, robust low-rank approximations, l0 /l1 -PCA
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama
50. Motivations Intro. Early days Oriented & geometrical End
17/17
Conclusion: on a panorama
Take-away messages anyway?
◮ is there a best?
◮ even more complex to determine than with (discrete) wavelets
◮ intricate relationship: sparsifying transform/associated
processing
◮ wishlist: fast, mild redundancy, some invariance, manageable
correlation in transformed domain, fast decay, tunable
frequency decomposition, complex or more (phase issues)
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama
51. Motivations Intro. Early days Oriented & geometrical End
17/17
Conclusion: on a panorama
Short links with Mathematical Morphology?
◮ granulometry (Matheron, Serra)
◮ morphological decomp. with PR (Heijmans & Goutsias, 2005)
◮ logarithmic link between linear and morphological systems
(Burgeth & Weickert, 2005)
◮ plus-prod algebra vs max-plus and min-plus algebras, Cramer
transform (Angulo)
◮ approximation laws, models, robustness to disturbance?
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama
52. Motivations Intro. Early days Oriented & geometrical End
17/17
Conclusion: on a panorama
Acknowledgments:
◮ C. Vachier; J. Angulo, M. Moreaud for recent discussions
◮ L. Jacques, C. Chaux, G. Peyré
◮ to the many *-lets, esp. the forgotten ones
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama
53. Motivations Intro. Early days Oriented & geometrical End
17/17
Conclusion: on a panorama
Postponed references & toolboxes & links
◮ A Panorama on Multiscale Geometric Representations,
Intertwining Spatial, Directional and Frequency Selectivity,
Signal Processing, Dec. 2011
http://www.sciencedirect.com/science/article/pii/S0165168411001356
http://www.laurent-duval.eu/siva-wits-where-is-the-starlet.html
http://www.laurent-duval.eu/siva-panorama-multiscale-geometric-representations.html
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré: IFP Énergies nouvelles
Transformations en ondelettes 2D directionnelles—Un panorama