To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Scalable Face Restitution Via Attribute-Enhanced Sparse Code wordsIJRES Journal
To develop a scalable face image restitution system we apply Attribute-Enhanced Sparse Code words on local features extracted from face images combining with inverted indexing to construct an efficient and scalable face retrieval system. Nowadays Photos with people are the major interest of users. Among all those photos, a big percentage of them are photos with human faces. The importance and the sheer amount of human face photos make manipulations (e.g., search and mining) of large-scale human face images a really important research problem and enable many real world applications. Thus, with the exponentially growing photos, large-scale content-based face image retrieval is an enabling technology for many emerging applications. To utilize automatically detected human attributes that contain semantic cues of the face photos to improve content based face retrieval by constructing semantic code words for efficient large-scale face retrieval. By leveraging human attributes in a scalable and systematic framework, we propose two orthogonal methods named attribute-enhanced sparse coding and attribute embedded inverted indexing to improve the face retrieval in the offline database. We investigate the effectiveness of different attributes and vital factors essential for face retrieval.
Due to recent development in technology, there is an increase in the usage of digital cameras, smartphones, and Internet. The shared and stored multimedia data are growing, and to search or to retrieve a relevant image from an archive is a challenging research problem. The fundamental need of any image retrieval model is to search and arrange the images that are in a visual semantic re- lationship with the query given by the user Content Based Image Retrieval Project.
http://takeoffprojects.com/content-based-image-retrieval-project
We are providing you with some of the greatest ideas for building Final Year projects with proper guidance and assistance
Image retrieval and re ranking techniques - a surveysipij
There is a huge amount of research work focusing on the searching, retrieval and re-ranking of images in
the image database. The diverse and scattered work in this domain needs to be collected and organized for
easy and quick reference.
Relating to the above context, this paper gives a brief overview of various image retrieval and re-ranking
techniques. Starting with the introduction to existing system the paper proceeds through the core
architecture of image harvesting and retrieval system to the different Re-ranking techniques. These
techniques are discussed in terms of approaches, methodologies and findings and are listed in tabular form
for quick review.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Content Based Video Retrieval Using Integrated Feature Extraction and Persona...IJERD Editor
Traditional video retrieval methods fail to meet technical challenges due to large and rapid growth of
multimedia data, demanding effective retrieval systems. In the last decade Content Based Video Retrieval
(CBVR) has become more and more popular. The amount of lecture video data on the Worldwide Web (WWW)
is growing rapidly. Therefore, a more efficient method for video retrieval in WWW or within large lecture video
archives is urgently needed. This paper presents an implementation of automated video indexing and video
search in large videodatabase. First of all, we apply automatic video segmentation and key-frame detection to
extract the frames from video. At next, we extract textual keywords by applying on video i.e. Optical Character
Recognition (OCR) technology on key-frames and Automatic Speech Recognition (ASR) on audio tracks of that
video. At next, we also extractingcolour, texture and edge detector features from different method. At last, we
integrate all the keywords and features which has extracted from above techniques for searching
purpose.Finallysearch similarity measure is applied to retrieve the best matchingcorresponding videos are
presented as output from database. Additionally we are providing Re-ranking of results as per users interest in
original result.
Scalable Face Restitution Via Attribute-Enhanced Sparse Code wordsIJRES Journal
To develop a scalable face image restitution system we apply Attribute-Enhanced Sparse Code words on local features extracted from face images combining with inverted indexing to construct an efficient and scalable face retrieval system. Nowadays Photos with people are the major interest of users. Among all those photos, a big percentage of them are photos with human faces. The importance and the sheer amount of human face photos make manipulations (e.g., search and mining) of large-scale human face images a really important research problem and enable many real world applications. Thus, with the exponentially growing photos, large-scale content-based face image retrieval is an enabling technology for many emerging applications. To utilize automatically detected human attributes that contain semantic cues of the face photos to improve content based face retrieval by constructing semantic code words for efficient large-scale face retrieval. By leveraging human attributes in a scalable and systematic framework, we propose two orthogonal methods named attribute-enhanced sparse coding and attribute embedded inverted indexing to improve the face retrieval in the offline database. We investigate the effectiveness of different attributes and vital factors essential for face retrieval.
Due to recent development in technology, there is an increase in the usage of digital cameras, smartphones, and Internet. The shared and stored multimedia data are growing, and to search or to retrieve a relevant image from an archive is a challenging research problem. The fundamental need of any image retrieval model is to search and arrange the images that are in a visual semantic re- lationship with the query given by the user Content Based Image Retrieval Project.
http://takeoffprojects.com/content-based-image-retrieval-project
We are providing you with some of the greatest ideas for building Final Year projects with proper guidance and assistance
Image retrieval and re ranking techniques - a surveysipij
There is a huge amount of research work focusing on the searching, retrieval and re-ranking of images in
the image database. The diverse and scattered work in this domain needs to be collected and organized for
easy and quick reference.
Relating to the above context, this paper gives a brief overview of various image retrieval and re-ranking
techniques. Starting with the introduction to existing system the paper proceeds through the core
architecture of image harvesting and retrieval system to the different Re-ranking techniques. These
techniques are discussed in terms of approaches, methodologies and findings and are listed in tabular form
for quick review.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Content Based Video Retrieval Using Integrated Feature Extraction and Persona...IJERD Editor
Traditional video retrieval methods fail to meet technical challenges due to large and rapid growth of
multimedia data, demanding effective retrieval systems. In the last decade Content Based Video Retrieval
(CBVR) has become more and more popular. The amount of lecture video data on the Worldwide Web (WWW)
is growing rapidly. Therefore, a more efficient method for video retrieval in WWW or within large lecture video
archives is urgently needed. This paper presents an implementation of automated video indexing and video
search in large videodatabase. First of all, we apply automatic video segmentation and key-frame detection to
extract the frames from video. At next, we extract textual keywords by applying on video i.e. Optical Character
Recognition (OCR) technology on key-frames and Automatic Speech Recognition (ASR) on audio tracks of that
video. At next, we also extractingcolour, texture and edge detector features from different method. At last, we
integrate all the keywords and features which has extracted from above techniques for searching
purpose.Finallysearch similarity measure is applied to retrieve the best matchingcorresponding videos are
presented as output from database. Additionally we are providing Re-ranking of results as per users interest in
original result.
IDCC 2630 Promotion de l'apprentissage dans la métallurgieSociété Tripalio
Dans la convention collective de la métallurgie des Bouches-du-Rhône, Alpes-de-Haute-Provence, (IDCC 2230), un accord de branche a été publié. Il s’agit de l’accord du 6 juillet 2015 relatif à la promotion de l’apprentissage.
Suomalaisyritykset edelleen huonosti varautuneita IT-palveluiden häiriötilanteisiin.
Muun muassa tämä tulos tuli esiin Tietotekniikan liiton ja Sofigate Oy:n yhteistyössä toteuttamassa valtakunnallisessa Tietohallintojen johtaminen Suomessa
-kyselytutkimuksessa. Toista kertaa toteutettu
tutkimus kartoitti tietohallinnon johtamisen tilaa sekä selvitti tietohallintojen ja liiketoiminnan yhteistyötä, hallintotapoja ja toiminnan mittaamista.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Pesquisa do IBGE sobre a economia do turismo no Brasil.
Estudo periódico, realizado pelo instituto e que apresenta grande foco no mercado de trabalho desta atividade econômica.
International Journal of Engineering and Science Invention (IJESI) inventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
IDCC 2630 Promotion de l'apprentissage dans la métallurgieSociété Tripalio
Dans la convention collective de la métallurgie des Bouches-du-Rhône, Alpes-de-Haute-Provence, (IDCC 2230), un accord de branche a été publié. Il s’agit de l’accord du 6 juillet 2015 relatif à la promotion de l’apprentissage.
Suomalaisyritykset edelleen huonosti varautuneita IT-palveluiden häiriötilanteisiin.
Muun muassa tämä tulos tuli esiin Tietotekniikan liiton ja Sofigate Oy:n yhteistyössä toteuttamassa valtakunnallisessa Tietohallintojen johtaminen Suomessa
-kyselytutkimuksessa. Toista kertaa toteutettu
tutkimus kartoitti tietohallinnon johtamisen tilaa sekä selvitti tietohallintojen ja liiketoiminnan yhteistyötä, hallintotapoja ja toiminnan mittaamista.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Pesquisa do IBGE sobre a economia do turismo no Brasil.
Estudo periódico, realizado pelo instituto e que apresenta grande foco no mercado de trabalho desta atividade econômica.
International Journal of Engineering and Science Invention (IJESI) inventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Applications of spatial features in cbir a surveycsandit
With advances in the computer technology and the World Wide Web there has been an
explosion in the amount and complexity of multimedia data that are generated, stored,
transmitted, analyzed, and accessed. In order to extract useful information from this huge
amount of data, many content based image retrieval (CBIR) systems have been developed in the
last decade. A typical CBIR system captures image features that represent image properties
such as color, texture, or shape of objects in the query image and try to retrieve images from the
database with similar features. Retrieval efficiency and accuracy are the important issues in
designing Content Based Image Retrieval System. The Shape and Spatial features are quiet easy
and simple to derive and effective. Researchers are moving towards finding spatial features and
the scope of implementing these features in to the image retrieval framework for reducing the
semantic gap. This Survey paper focuses on the detailed review of different methods and their
evaluation techniques used in the recent works based on spatial features in CBIR systems.
Finally, several recommendations for future research directions have been suggested based on
the recent technologies.
APPLICATIONS OF SPATIAL FEATURES IN CBIR : A SURVEYcscpconf
With advances in the computer technology and the World Wide Web there has been an explosion in the amount and complexity of multimedia data that are generated, stored,transmitted, analyzed, and accessed. In order to extract useful information from this hugeamount of data, many content based image retrieval (CBIR) systems have been developed in the
last decade. A typical CBIR system captures image features that represent image properties such as color, texture, or shape of objects in the query image and try to retrieve images from the
database with similar features. Retrieval efficiency and accuracy are the important issues in designing Content Based Image Retrieval System. The Shape and Spatial features are quiet easy and simple to derive and effective. Researchers are moving towards finding spatial features and the scope of implementing these features in to the image retrieval framework for reducing the semantic gap. This Survey paper focuses on the detailed review of different methods and their
evaluation techniques used in the recent works based on spatial features in CBIR systems. Finally, several recommendations for future research directions have been suggested based on
the recent technologies.
JPM1412 Mining Weakly Labeled Web Facial Images for Search-Based Face Annota...chennaijp
JP INFOTECH is one of the leading Matlab projects provider in Chennai having experience faculties. We have list of image processing projects as our own and also we can make projects based on your own base paper concept also.
For more details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/matlab-projects/
FACE EXPRESSION IDENTIFICATION USING IMAGE FEATURE CLUSTRING AND QUERY SCHEME...Editor IJMTER
Web mining techniques are used to analyze the web page contents and usage details. Human facial
images are shared in the internet and tagged with additional information. Auto face annotation techniques are used
to annotate facial images automatically. Annotations are used in online photo search and management.
Classification techniques are used to assign the facial annotation. Supervised or semi-supervised machine learning
techniques are used to train the classification models. Facial images with labels are used in the training process.
Noisy and incomplete labels are referred as weak labels. Search-based face annotation (SBFA) is assigned by
mining weakly labeled facial images available on the World Wide Web (WWW). Unsupervised label refinement
(ULR) approach is used for refining the labels of web facial images with machine learning techniques. ULR
scheme is used to enhance the label quality using graph-based and low-rank learning approach. The training phase
is designed with facial image collection, facial feature extraction, feature indexing and label refinement learning
steps. Similar face retrieval and voting based face annotation tasks are carried out under the testing phase.
Clustering-Based Approximation (CBA) algorithm is applied to improve the scalability. Bisecting K-means
clustering based algorithm (BCBA) and divisive clustering based algorithm (DCBA) are used to group up the
facial images. Multi step Gradient Algorithm is used for label refinement process. The web face annotation scheme
is enhanced to improve the label quality with low refinement overhead. Noise reduction is method is integrated
with the label refinement process. Duplicate name removal process is integrated with the system. The indexing
scheme is enhanced with weight values for the labels. Social contextual information is used to manage the query
facial image relevancy issues.
“ Vertical Image Search Engine” is IEEE project ppt. The basic working principle of the image search engine can be helpful to you in building up final year project.
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Vampire attacks draining life from w...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Optimal multicast capacity and delay...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT On the real time hardware implementa...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Model based analysis of wireless sys...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Mobile relay configuration in data i...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Distributed cooperative caching in s...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Delay optimal broadcast for multihop...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Cooperative packet delivery in hybri...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Content sharing over smartphone base...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Community aware opportunistic routin...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Adaptive position update for geograp...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT A scalable server architecture for m...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE CLOUDCOMPUTING PROJECT Attribute based access to scalable me...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE CLOUDCOMPUTING PROJECT Attribute based access to scalable me...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE CLOUDCOMPUTING PROJECT Scalable and secure sharing of person...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...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.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
JAVA 2013 IEEE IMAGEPROCESSING PROJECT Scalable face image retrieval using attribute enhanced sparse codewords
1. Scalable Face Image Retrieval using Attribute-Enhanced Sparse
Codewords
ABSTRACT
Photos with people are the major interest of users. Thus, with the exponentially growing photos, large-scale content-
based face image retrieval is an enabling technology for many emerging applications. In this work, we aim to utilize
automatically detected human attributes that contain semantic cues of the face photos to improve content based face
retrieval by constructing semantic code words for efficient large-scale face retrieval. By leveraging human attributes in a
scalable and systematic framework, we propose two orthogonal methods named attribute-enhanced sparse coding and
attribute embedded inverted indexing to improve the face retrieval in the offline and online stages. We investigate the
effectiveness of different attributes and vital factors essential for face retrieval. Experimenting on two public datasets,
the results show that the proposed methods can achieve up to 43.5% relative improvement in MAP compared to the
existing methods.
EXISTING SYSTEM
Existing systems ignore strong, face-specific geometric constraints among different visual words in a face image. Recent
works on face recognition have proposed various discriminative facial features. However, these features are typically
high-dimensional and global, thus not suitable for quantization and inverted indexing. In other words, using such global
features in a retrieval sys- tem requires essentially a linear scan of the whole database in order to process a query, which
is prohibitive for a web- scale image database.
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2. PROPOSED SYSTEM
We propose two orthogonal methods named attribute-enhanced sparse coding and attribute-embedded
inverted indexing. Attribute-enhanced sparse coding exploits the global structure of feature space and uses several
important human attributes combined with low-level features to construct semantic code words in the offline stage. On
the other hand, attribute-embedded inverted indexing locally considers human attributes of the designated query image
in a binary signature and provides efficient retrieval in the online stage.
MODULE DESCRIPTION:
1. content-based image search
2. Attribute based search
3. Face Image Retrieval
1. content-based image search:
Content-based image retrieval (CBIR), also known as query by image content (QBIC) and content-based visual
information retrieval (CBVIR) is the application of computer vision techniques to the image retrieval problem,
that is, the problem of searching for digital images in large databases.
2. Attribute based search:
Attribute detection has adequate quality on many different human attributes. Using these human attributes,
many researchers have achieved promising results in different applications such as face verification, face
identification, keyword-based face image retrieval, and similar attribute search.
3. Face Image Retrieval
The proposed work is a facial image retrieval model for problem of similar facial images searching and
retrieval in the search space of the facial images by integrating content-based image retrieval (CBIR) techniques and face
recognition techniques, with the semantic description of the facial image. The aim is to reduce the semantic gap
3. between high level query requirement and low level facial features of the human face image such that the system can
be ready to meet human nature way and needs in description and retrieval of facial image.
System Configuration:-
H/W System Configuration:-
Processor - Pentium –III
Speed - 1.1 Ghz
RAM - 256 MB(min)
Hard Disk - 20 GB
4. Floppy Drive - 1.44 MB
Key Board - Standard Windows Keyboard
Mouse - Two or Three Button Mouse
Monitor - SVGA
S/W System Configuration:-
Operating System :Windows95/98/2000/XP
Application Server : Tomcat5.0/6.X
Front End : HTML, Java, Jsp
Scripts : JavaScript.
Server side Script : Java Server Pages.
Database : Mysql
Database Connectivity : JDBC.
CONCLUSION
We propose and combine two orthogonal methods to utilize automatically detected human attributes to
significantly improve content-based face image retrieval. To the best of our knowledge, this is the first proposal of
combining low-level features and automatically detected human attributes for content-based face image retrieval.
Attribute-enhanced sparse coding exploits the global structure and uses several human attributes to construct semantic-
aware code words in the offline stage. Attribute-embedded inverted indexing further considers the local attribute
signature of the query image and still ensures efficient retrieval in the online stage. The experimental results show that
5. using the code words generated by the proposed coding scheme, we can reduce the quantization error and achieve
salient gains in face retrieval on two public datasets; the proposed indexing scheme can be easily integrated into
inverted index, thus maintaining a scalable framework. During the experiments, we also discover certain informative
attributes for face retrieval across different datasets and these attributes are also promising for other applications.
Current methods treat all attributes as equal. We will investigate methods to dynamically decide the importance of the
attributes and further exploit the contextual relationships between them.