histoGraph presented to MMSP 2013
•
1 like•443 views
CUbRIK application for Digital Humanities illustrated during the demo session of the International Workshop on Multimedia Signal Processing IEEE MMSP 2013
Report
Share
Report
Share
Download to read offline
Recommended
Rapid development Using Blackfin
This module discusses the rapid development of a Blackfin video application using software and hardware modules. It describes capturing video using an ADV7183B video decoder device driver via PPI0, processing the frames, and displaying the output using an ADV7179 video encoder device driver via PPI1. The drivers are independent but can share video frame buffers. Double buffering is used to pass filled frames to processing while capturing/displaying other frames.
Microchip's 16-bit and 32-bit PIC MCUs
The document discusses Microchip's 16-bit and 32-bit microcontroller products. It introduces their PIC24F, PIC24H and dsPIC30F families of 16-bit MCUs as well as their 32-bit PIC32 MCUs. It provides an overview of the features of these product families and describes some example applications and solutions developed using Microchip's MCUs. It also discusses debugger tools and starter kits for evaluating Microchip's MCUs.
H8S Microcontroller Family Overview
This document provides an overview of Renesas' H8S microcontroller family, including key features of popular series like the H8S/2100, H8S/2200, H8S/2300 and H8S/2600. It describes typical applications for H8S devices and gives brief details about each sub-series, highlighting aspects like operating speed, memory size, interfaces and packaging. Additional resources are provided for ordering parts and getting technical support.
DSPIC33F: High Performance 16-bit Digital Signal Controllers
The document provides an overview of Microchip's dsPIC33F digital signal controller product family. It describes the dsPIC33F's features such as flash memory size ranging from 12KB to 256KB, RAM from 1K to 32K, operating temperature range from -40°C to +125°C, and peripherals including DMA, timers, and analog to digital converters. It also discusses the dsPIC33F architecture, functional block diagram, development tools, and example motor control application.
Being a business assistant with element14 in krakow
The document provides information about the Business Assistant role at element14, including:
1) The responsibilities of a Business Assistant include project management, communication, preparing for meetings, research, and process improvement.
2) The role requires working in a fast-paced environment, developing networks, managing priorities, clear communication, and independent decision making.
3) Desired skills are strong IT skills, planning, producing quality work under pressure, excellent English skills, interpersonal skills, and project management experience.
Optical Encoders
The document provides an overview of optical encoders from Grayhill Inc., including how they work, common parameters, and applications. It describes incremental and absolute encoders, as well as human interface, general purpose, special function, and machine interface encoder products. Specific encoder models are detailed along with their typical resolution, features, and suitable applications.
History of Europe demo at IEEE MMSP 2013
The document describes CUbRIK, a project that combines human and machine computation for digital humanities research. CUbRIK uses a hybrid approach involving both automatic and human-guided tasks to process and make sense of multimedia content. It features an open repository of entities, support for plug-ins and algorithms, and aims to resolve uncertainties in automatic analysis by leveraging collective human intelligence through games, crowdsourcing tasks and question/answering. The demo presentation highlights how various CUbRIK components are being integrated to create a new tool for exploring multimedia collections in digital humanities research.
Humanist machine interaction with histoGraph
The CUbRIK histoGrap tool illustrated at Digital Humanities Symposium in Luxembourg, by Lars Wieneke (CVCE)
Recommended
Rapid development Using Blackfin
This module discusses the rapid development of a Blackfin video application using software and hardware modules. It describes capturing video using an ADV7183B video decoder device driver via PPI0, processing the frames, and displaying the output using an ADV7179 video encoder device driver via PPI1. The drivers are independent but can share video frame buffers. Double buffering is used to pass filled frames to processing while capturing/displaying other frames.
Microchip's 16-bit and 32-bit PIC MCUs
The document discusses Microchip's 16-bit and 32-bit microcontroller products. It introduces their PIC24F, PIC24H and dsPIC30F families of 16-bit MCUs as well as their 32-bit PIC32 MCUs. It provides an overview of the features of these product families and describes some example applications and solutions developed using Microchip's MCUs. It also discusses debugger tools and starter kits for evaluating Microchip's MCUs.
H8S Microcontroller Family Overview
This document provides an overview of Renesas' H8S microcontroller family, including key features of popular series like the H8S/2100, H8S/2200, H8S/2300 and H8S/2600. It describes typical applications for H8S devices and gives brief details about each sub-series, highlighting aspects like operating speed, memory size, interfaces and packaging. Additional resources are provided for ordering parts and getting technical support.
DSPIC33F: High Performance 16-bit Digital Signal Controllers
The document provides an overview of Microchip's dsPIC33F digital signal controller product family. It describes the dsPIC33F's features such as flash memory size ranging from 12KB to 256KB, RAM from 1K to 32K, operating temperature range from -40°C to +125°C, and peripherals including DMA, timers, and analog to digital converters. It also discusses the dsPIC33F architecture, functional block diagram, development tools, and example motor control application.
Being a business assistant with element14 in krakow
The document provides information about the Business Assistant role at element14, including:
1) The responsibilities of a Business Assistant include project management, communication, preparing for meetings, research, and process improvement.
2) The role requires working in a fast-paced environment, developing networks, managing priorities, clear communication, and independent decision making.
3) Desired skills are strong IT skills, planning, producing quality work under pressure, excellent English skills, interpersonal skills, and project management experience.
Optical Encoders
The document provides an overview of optical encoders from Grayhill Inc., including how they work, common parameters, and applications. It describes incremental and absolute encoders, as well as human interface, general purpose, special function, and machine interface encoder products. Specific encoder models are detailed along with their typical resolution, features, and suitable applications.
History of Europe demo at IEEE MMSP 2013
The document describes CUbRIK, a project that combines human and machine computation for digital humanities research. CUbRIK uses a hybrid approach involving both automatic and human-guided tasks to process and make sense of multimedia content. It features an open repository of entities, support for plug-ins and algorithms, and aims to resolve uncertainties in automatic analysis by leveraging collective human intelligence through games, crowdsourcing tasks and question/answering. The demo presentation highlights how various CUbRIK components are being integrated to create a new tool for exploring multimedia collections in digital humanities research.
Humanist machine interaction with histoGraph
The CUbRIK histoGrap tool illustrated at Digital Humanities Symposium in Luxembourg, by Lars Wieneke (CVCE)
Humanist machine interaction for the digital humanities
The document discusses the CUbRIK project, which aims to build a social graph of the history of European integration through human-machine interaction. The project develops an open toolbox to extract high-level information from digitized sources like images, text and videos by harnessing machine capabilities and human expertise. Researchers can use the History of Europe app to manually verify information about historical photos and analyze relationships between entities and events over time through an integrated pipeline of components and crowdsourcing. The goal is to represent different perspectives in history while linking data to original sources and handling issues like copyrights.
CUbRIK at SMILA Conference in Berlin
The document describes the CUbRIK project, which aims to advance multimedia search through human-enhanced computation. The project uses the SMILA framework to build search workflows incorporating both automated and human tasks. An example application involves detecting trademark logos in videos. The system indexes logo images and video content, performs automated matching, then filters results via crowdsourced tasks to validate matches. Experimental results show crowdsourcing can improve precision over fully automated or expert-only evaluation, though performance is also affected by user location and expertise. The system demonstrates integrating human computation into multimedia search pipelines based on the SMILA architecture.
CRC Conference proceedings
The document describes a PhD project that aims to analyze semantic networks of identifier names in source code to improve code maintainability and quality. The project seeks to extract semantic relationships between identifier names from source code to build semantic networks. These networks will then be analyzed to identify naming inconsistencies and recommend more semantically coherent identifier names to enhance code comprehension.
2012.09.26.CUbRIK at CHORUS + (the progress)
The CUbRIK project aims to introduce innovation in multimedia search. It is a 36-month European Commission funded project that uses a "cube metaphor" to advance multimedia search along technological, human, and business dimensions. The project seeks to integrate human computation through tasks like emotion recognition, decision making, and crowdsearch to improve multimedia content processing and search results. It has developed several prototypes that harness human input, such as a trademark logo detection demo and a crossword game for creating and validating entities.
Tools in Action: Transforming everyday objects with the power of deeplearning...
Marek Sadowski, Developer Advocate, IBM, @blumareks
With cognitive computing, we are now able to interact with everyday objects in ways that were deemed
impossible. In this session, we will demonstrate the power of cognitive Internet of Things and the Cloud
platform to securely connect and manage devices, analyze data, and apply cognitive services to add
human-like interaction.
Leveraging cognitive services for sentiment, tone, and visual analysis invoked from IoT/robotics
platforms and Voice UI interface we will show how you can quickly and securely turn a simple idea into
reality by transforming a regular robot vacuum into a cognitive-enabled smart device.
CUbRIK is
The CUbRIK project is a 3-year, 8.9 million euro research project financed by the European Union to develop an open innovation, open source software platform for multimedia search. The platform incorporates human and machine computation, social networking features, and aims to reduce the semantic gap in multimedia search through collaboration with industry partners, researchers, and individuals.
The CUbRIK project official presentation
The CUbRIK project official presentation developed by Nexture in the framework of the project dissemination activities
AI - Media Art. 인공지능과 미디어아트
인공지능 기반 미디어아트 최신 기술, 동향 및 사례를 공유합니다. 특히, 딥러닝을 이용한 예술과 관련된 기술을 확인하고, 관련 작품들을 살펴보겠습니다. 이 세미나는 한전아트센터에서 진행하는 2019년 오픈 미디어아트 전시 세미나(2월 10일 오후 2시)의 하나로 기획되었습니다.
전시 링크 - https://vmspace.com/news/news_view.html?base_seq=NDM5
Human Computation for Big Data
Over the last few years we have observed the emergence of hybrid human-machine information systems which are able to both scale over large amount of data as well as to maintain high-quality data processing intrinsic in human intelligence.
In this talk I will focus on the use of human intelligence at scale by means of crowdsourcing to deal with Big Data problems. We will look specifically on how to deal with the variety in data by means of Human Computation still being able to operate with a large data volume.
First, I will introduce the area of micro-task crowdsourcing also providing an overview of different research challenges that needs to be tackled to enable large-scale hybrid human-machine information systems. Next, I will provide examples of such hybrid systems for entity linking and disambiguation using crowdsourcing and a graph of linked entities as background corpus. I will describe how keyword query understanding can be crowdsourced to build search engines that can answer rare complex queries. Finally, I will present new techniques that allow to improve the quality of crowdsourced information system components by means of push crowdsourcing.
90seconds Presentation
The 90 seconds-presentation of the SS 2007 edition of the Seminar o Context-Aware and Ambient Applications at b-it Bonn.
Crowdsourcing challenges and opportunities 2012
The tutorial discusses crowdsourcing, including its definition, applications, platforms, and challenges. It provides examples of how crowdsourcing has been used in areas like image search, machine translation, and databases. The main platforms covered are Amazon Mechanical Turk and Crowdflower. Challenges and research opportunities in crowdsourcing are also examined.
Introduction to Knowledge Graphs
The document provides an introduction to knowledge graphs. It discusses how knowledge graphs are being used by large enterprises and intelligent agents to capture concepts, entities, and relationships within domains to drive business, generate insights, and enhance relationships. The presentation will cover an overview of what knowledge graphs are, who uses them, why they are used, and how to use them. It then provides some examples of how knowledge graphs are applied, including in intelligent agents, semantic web, search engines, social networks, biology, enterprise knowledge management, and more.
Metadata in a Crowd: Shared Knowledge Production
The document discusses human computation and how crowdsourcing can be used to generate metadata. It describes different models of human computation, including socially motivated tasks like tagging photos on Flickr, economically motivated tasks on Amazon Mechanical Turk, and tacit tasks like reCAPTCHAs. The document also discusses how human computation draws on human abilities at visual and language tasks to solve problems in parallel in a way similar to bittorrent networks. It argues that successful systems motivate participation through incentives, games, or the ability to contribute to a collective knowledge base.
Reactive Reatime Big Data with Open Source Lambda Architecture - TechCampVN 2014
This document discusses using a reactive lambda architecture with open source tools to solve real-time big data problems. It begins by defining big data and explaining that simply having data is not enough - you need to solve the right problems with the right team and tools. It then presents three example problems that could benefit from real-time big data solutions: disaster prediction and response, understanding customers through social media data, and optimizing marketing campaigns in real-time. The document proposes using a reactive lambda architecture along with open source frameworks like Hadoop, Spark, Storm and databases like Redis, HDFS and HBase to build streaming data pipelines and query data in real-time. It demonstrates this through a social media user tracking and personalized recommendations use
Interaction Paradigms
Introduction to interaction paradigms in computational devices.
Presentation by Sigrun Ritter, Sebastian Weinhold
Web 2.0 and virtual worlds
The document discusses the history and concepts of Web 2.0 and virtual worlds, and their potential applications for education. It outlines some of the key components and movements in Web 2.0 like blogs, wikis, social networking sites, and user-generated content. It also discusses early virtual worlds and their precursors. The document then explores some pedagogical approaches and issues to consider when using Web 2.0 and virtual worlds for education, such as principles of distributed conversation and collaborative writing.
28th Jan Intro to AI.ppt
The document provides an overview of an artificial intelligence course. It includes recommended books, topics to be covered like problem solving, knowledge representation, machine learning, and applications. The goals of AI are discussed as engineering and scientific. Example applications are presented, including game playing, natural language processing, expert systems, robotics and more. An introduction to search problems, knowledge-based systems, neural networks, and artificial life is given.
Mirosoft Cognitive Services by Praveen Nair
The document discusses Microsoft Cognitive Services, which are a collection of APIs that make applications more intelligent through capabilities like vision, speech, language, and knowledge. It provides examples of sample apps built with these APIs and highlights key features of the Cognitive Services like being easy to use through REST APIs, flexible in how they can be called, tested by Microsoft experts, and having documentation, sample code, and community support. The document also positions Microsoft Cognitive Services in competition with IBM Watson and references additional resources on the Cognitive Services, Cortana Intelligence Suite, and Azure Machine Learning.
Can Computers Design? Presented at interaction16, March 2, 2016, Helsinki by ...
The document discusses how computational methods and machine learning could potentially be used to automate aspects of interface design. It begins by providing background on how previous research has explored using optimization algorithms and predictive models from psychology to generate keyboard layouts and other interface designs. The document then discusses challenges, noting that interface design problems involve large search spaces and complex evaluation functions. It argues that a coordinated effort is needed to develop methods that can produce good outcomes while being compatible with design practice. Overall, the document explores the possibility of using computational approaches to automate parts of interface design, while acknowledging the difficulties in developing generally applicable methods.
Expressive processing, NMT Utrecht
This document discusses the concept of expressive processing and operational logics. It defines expressive processing as the means of expression through computer processes that bridge the gap between observing digital media outputs and the actual computational processes behind them. It explores how expressive processing and operational logics have been applied to analyze fiction, games, and simulations. As an example, it analyzes the operational logics of moral choice making in the video game Darkest Dungeon. It also proposes applying these concepts to analyze the operational logics and simulations behind the cryptocurrency Bitcoin.
Matching Game Mechanics and Human Computation Tasks in Games with a Purpose
The document discusses using game mechanics to design Games with a Purpose (GWAPs) to solve human computation tasks, outlines a development process for GWAPs including defining the task and matching it to appropriate game mechanics, and provides an example of using line drawing mechanics to segment fashion images and identify trends.
histoGraph for historians
The document discusses the CUbRIK project which aims to reconstruct social networks through historical sources using a combination of automated and human-powered techniques. It outlines four pillars of the project: connecting to researcher needs, creating a structured repository, developing an efficient indexing process, and tools for analysis and visualization. Key challenges include identifying entities, verifying identities over time, analyzing relationships, and ensuring rights compliance. The project will utilize both clickworkers and subject experts to verify entity detections and annotations. It aims to represent the ambiguities of history rather than a single truth.
More Related Content
Similar to histoGraph presented to MMSP 2013
Humanist machine interaction for the digital humanities
The document discusses the CUbRIK project, which aims to build a social graph of the history of European integration through human-machine interaction. The project develops an open toolbox to extract high-level information from digitized sources like images, text and videos by harnessing machine capabilities and human expertise. Researchers can use the History of Europe app to manually verify information about historical photos and analyze relationships between entities and events over time through an integrated pipeline of components and crowdsourcing. The goal is to represent different perspectives in history while linking data to original sources and handling issues like copyrights.
CUbRIK at SMILA Conference in Berlin
The document describes the CUbRIK project, which aims to advance multimedia search through human-enhanced computation. The project uses the SMILA framework to build search workflows incorporating both automated and human tasks. An example application involves detecting trademark logos in videos. The system indexes logo images and video content, performs automated matching, then filters results via crowdsourced tasks to validate matches. Experimental results show crowdsourcing can improve precision over fully automated or expert-only evaluation, though performance is also affected by user location and expertise. The system demonstrates integrating human computation into multimedia search pipelines based on the SMILA architecture.
CRC Conference proceedings
The document describes a PhD project that aims to analyze semantic networks of identifier names in source code to improve code maintainability and quality. The project seeks to extract semantic relationships between identifier names from source code to build semantic networks. These networks will then be analyzed to identify naming inconsistencies and recommend more semantically coherent identifier names to enhance code comprehension.
2012.09.26.CUbRIK at CHORUS + (the progress)
The CUbRIK project aims to introduce innovation in multimedia search. It is a 36-month European Commission funded project that uses a "cube metaphor" to advance multimedia search along technological, human, and business dimensions. The project seeks to integrate human computation through tasks like emotion recognition, decision making, and crowdsearch to improve multimedia content processing and search results. It has developed several prototypes that harness human input, such as a trademark logo detection demo and a crossword game for creating and validating entities.
Tools in Action: Transforming everyday objects with the power of deeplearning...
Marek Sadowski, Developer Advocate, IBM, @blumareks
With cognitive computing, we are now able to interact with everyday objects in ways that were deemed
impossible. In this session, we will demonstrate the power of cognitive Internet of Things and the Cloud
platform to securely connect and manage devices, analyze data, and apply cognitive services to add
human-like interaction.
Leveraging cognitive services for sentiment, tone, and visual analysis invoked from IoT/robotics
platforms and Voice UI interface we will show how you can quickly and securely turn a simple idea into
reality by transforming a regular robot vacuum into a cognitive-enabled smart device.
CUbRIK is
The CUbRIK project is a 3-year, 8.9 million euro research project financed by the European Union to develop an open innovation, open source software platform for multimedia search. The platform incorporates human and machine computation, social networking features, and aims to reduce the semantic gap in multimedia search through collaboration with industry partners, researchers, and individuals.
The CUbRIK project official presentation
The CUbRIK project official presentation developed by Nexture in the framework of the project dissemination activities
AI - Media Art. 인공지능과 미디어아트
인공지능 기반 미디어아트 최신 기술, 동향 및 사례를 공유합니다. 특히, 딥러닝을 이용한 예술과 관련된 기술을 확인하고, 관련 작품들을 살펴보겠습니다. 이 세미나는 한전아트센터에서 진행하는 2019년 오픈 미디어아트 전시 세미나(2월 10일 오후 2시)의 하나로 기획되었습니다.
전시 링크 - https://vmspace.com/news/news_view.html?base_seq=NDM5
Human Computation for Big Data
Over the last few years we have observed the emergence of hybrid human-machine information systems which are able to both scale over large amount of data as well as to maintain high-quality data processing intrinsic in human intelligence.
In this talk I will focus on the use of human intelligence at scale by means of crowdsourcing to deal with Big Data problems. We will look specifically on how to deal with the variety in data by means of Human Computation still being able to operate with a large data volume.
First, I will introduce the area of micro-task crowdsourcing also providing an overview of different research challenges that needs to be tackled to enable large-scale hybrid human-machine information systems. Next, I will provide examples of such hybrid systems for entity linking and disambiguation using crowdsourcing and a graph of linked entities as background corpus. I will describe how keyword query understanding can be crowdsourced to build search engines that can answer rare complex queries. Finally, I will present new techniques that allow to improve the quality of crowdsourced information system components by means of push crowdsourcing.
90seconds Presentation
The 90 seconds-presentation of the SS 2007 edition of the Seminar o Context-Aware and Ambient Applications at b-it Bonn.
Crowdsourcing challenges and opportunities 2012
The tutorial discusses crowdsourcing, including its definition, applications, platforms, and challenges. It provides examples of how crowdsourcing has been used in areas like image search, machine translation, and databases. The main platforms covered are Amazon Mechanical Turk and Crowdflower. Challenges and research opportunities in crowdsourcing are also examined.
Introduction to Knowledge Graphs
The document provides an introduction to knowledge graphs. It discusses how knowledge graphs are being used by large enterprises and intelligent agents to capture concepts, entities, and relationships within domains to drive business, generate insights, and enhance relationships. The presentation will cover an overview of what knowledge graphs are, who uses them, why they are used, and how to use them. It then provides some examples of how knowledge graphs are applied, including in intelligent agents, semantic web, search engines, social networks, biology, enterprise knowledge management, and more.
Metadata in a Crowd: Shared Knowledge Production
The document discusses human computation and how crowdsourcing can be used to generate metadata. It describes different models of human computation, including socially motivated tasks like tagging photos on Flickr, economically motivated tasks on Amazon Mechanical Turk, and tacit tasks like reCAPTCHAs. The document also discusses how human computation draws on human abilities at visual and language tasks to solve problems in parallel in a way similar to bittorrent networks. It argues that successful systems motivate participation through incentives, games, or the ability to contribute to a collective knowledge base.
Reactive Reatime Big Data with Open Source Lambda Architecture - TechCampVN 2014
This document discusses using a reactive lambda architecture with open source tools to solve real-time big data problems. It begins by defining big data and explaining that simply having data is not enough - you need to solve the right problems with the right team and tools. It then presents three example problems that could benefit from real-time big data solutions: disaster prediction and response, understanding customers through social media data, and optimizing marketing campaigns in real-time. The document proposes using a reactive lambda architecture along with open source frameworks like Hadoop, Spark, Storm and databases like Redis, HDFS and HBase to build streaming data pipelines and query data in real-time. It demonstrates this through a social media user tracking and personalized recommendations use
Interaction Paradigms
Introduction to interaction paradigms in computational devices.
Presentation by Sigrun Ritter, Sebastian Weinhold
Web 2.0 and virtual worlds
The document discusses the history and concepts of Web 2.0 and virtual worlds, and their potential applications for education. It outlines some of the key components and movements in Web 2.0 like blogs, wikis, social networking sites, and user-generated content. It also discusses early virtual worlds and their precursors. The document then explores some pedagogical approaches and issues to consider when using Web 2.0 and virtual worlds for education, such as principles of distributed conversation and collaborative writing.
28th Jan Intro to AI.ppt
The document provides an overview of an artificial intelligence course. It includes recommended books, topics to be covered like problem solving, knowledge representation, machine learning, and applications. The goals of AI are discussed as engineering and scientific. Example applications are presented, including game playing, natural language processing, expert systems, robotics and more. An introduction to search problems, knowledge-based systems, neural networks, and artificial life is given.
Mirosoft Cognitive Services by Praveen Nair
The document discusses Microsoft Cognitive Services, which are a collection of APIs that make applications more intelligent through capabilities like vision, speech, language, and knowledge. It provides examples of sample apps built with these APIs and highlights key features of the Cognitive Services like being easy to use through REST APIs, flexible in how they can be called, tested by Microsoft experts, and having documentation, sample code, and community support. The document also positions Microsoft Cognitive Services in competition with IBM Watson and references additional resources on the Cognitive Services, Cortana Intelligence Suite, and Azure Machine Learning.
Can Computers Design? Presented at interaction16, March 2, 2016, Helsinki by ...
The document discusses how computational methods and machine learning could potentially be used to automate aspects of interface design. It begins by providing background on how previous research has explored using optimization algorithms and predictive models from psychology to generate keyboard layouts and other interface designs. The document then discusses challenges, noting that interface design problems involve large search spaces and complex evaluation functions. It argues that a coordinated effort is needed to develop methods that can produce good outcomes while being compatible with design practice. Overall, the document explores the possibility of using computational approaches to automate parts of interface design, while acknowledging the difficulties in developing generally applicable methods.
Expressive processing, NMT Utrecht
This document discusses the concept of expressive processing and operational logics. It defines expressive processing as the means of expression through computer processes that bridge the gap between observing digital media outputs and the actual computational processes behind them. It explores how expressive processing and operational logics have been applied to analyze fiction, games, and simulations. As an example, it analyzes the operational logics of moral choice making in the video game Darkest Dungeon. It also proposes applying these concepts to analyze the operational logics and simulations behind the cryptocurrency Bitcoin.
Similar to histoGraph presented to MMSP 2013 (20)
Humanist machine interaction for the digital humanities
Humanist machine interaction for the digital humanities
Tools in Action: Transforming everyday objects with the power of deeplearning...
Tools in Action: Transforming everyday objects with the power of deeplearning...
Reactive Reatime Big Data with Open Source Lambda Architecture - TechCampVN 2014
Reactive Reatime Big Data with Open Source Lambda Architecture - TechCampVN 2014
Can Computers Design? Presented at interaction16, March 2, 2016, Helsinki by ...
Can Computers Design? Presented at interaction16, March 2, 2016, Helsinki by ...
More from CUbRIK Project
Matching Game Mechanics and Human Computation Tasks in Games with a Purpose
The document discusses using game mechanics to design Games with a Purpose (GWAPs) to solve human computation tasks, outlines a development process for GWAPs including defining the task and matching it to appropriate game mechanics, and provides an example of using line drawing mechanics to segment fashion images and identify trends.
histoGraph for historians
The document discusses the CUbRIK project which aims to reconstruct social networks through historical sources using a combination of automated and human-powered techniques. It outlines four pillars of the project: connecting to researcher needs, creating a structured repository, developing an efficient indexing process, and tools for analysis and visualization. Key challenges include identifying entities, verifying identities over time, analyzing relationships, and ensuring rights compliance. The project will utilize both clickworkers and subject experts to verify entity detections and annotations. It aims to represent the ambiguities of history rather than a single truth.
histoGraph: a case study in Digital Humanities
The CUbRIK histograph application illustrated at the EMPOLIS Executive Forum 2014, Berlin, by Lars Wieneke (CVCE)
SMILA in CUbRIK
SMILA Unified Information Access Architecture extended in CUbRIK, illustrated by Ralph Traphoener (Empolis Information Management GmbH)
CUbRIK research on social aspects
The CUbRIK research about Mining, Analyzing and Exploiting Community Feedback on the Web, presented by Sergiu Chelaru (L3S Research Center, Hannover)
Building a social graph for the history of Europe: the CUbRIK histoGraph
The document discusses building a social graph from historical image collections. It describes the CVCE and Digital Humanities Lab, and their vision of creating a social graph from images. The CUbRIK approach involves sourcing researcher requirements, building an entity repository, efficient indexing, and tools for visualization and analysis. Challenges include identifying people, places and events in images over time and verifying these. The approach involves crowd-sourcing verification and integrating rights management. An evaluation phase is planned in July to test the social graph prototype.
The CUbRIK histoGraph Factsheet
histoGraph was developed as part of the EU-funded CUbRIK project to create an interface for accessing historical sources and discovering links between entities. It builds a social graph of people in photos of European integration history by having humans and AI work together to identify faces, which are then linked based on co-occurrence. Users can interact with the graph to explore connections between individuals and supporting documents. The system represents the complexity of truth in the humanities by allowing multiple answers to identity questions and facilitating discussion between experts.
CUbRIK Fashion Trend Analysis: a Business Intelligence Application
The CUbRIK Fashion Trend Analysis Application: presented to CUbRIK Summer School - July 2014 - by Claudio Massari (Innovation Engineering)
CUbRIK Social Graph Visual Interface
The CUbRIK Social Graph Visual Interface. A component developed to represent dependencies of a given person in a given context, by analysing the co-occurrencies of person entities in photographs.
Mining Emotions in Short Films: User Comments or Crowdsourcing?
This document discusses mining emotions from user comments on short films. It presents an approach that creates an emotion vector for each short film based on extracting terms from user comments on YouTube and associating them with emotions from the NRC Emotion Lexicon. It then compares the cosine similarity between emotion vectors built from expert judgments and those built using Amazon Mechanical Turk workers or automatically from YouTube comments. The goal is to determine if crowdsourcing or YouTube comments can accurately extract emotions expressed in reviews of short films.
CUbRIK and gaming experience@Qualinet
This document discusses game design, playtesting, and games with a purpose. It begins with introducing the speaker and their background in robotics, AI, game design, and crowdsourcing. The agenda then covers the differences between play and games, pointers to game design including key elements like players, objectives, procedures, rules, and outcomes. Games with a purpose are introduced as games that generate useful data as a byproduct of play. Examples of specific games are discussed and the process of validating gameplay through playtesting is covered. Traditional playtesting methods like observation, surveys and their issues are also outlined.
ICT 2013: Better Society: empowering Horizon 2020 with trustable social media
Networking Session at ICT 2013 endorsed by CUbRIK project:
trust and reputation is central to our research!
How Do We Deep-Link? Leveraging User-Contributed Time-Links for Non-Linear Vi...
Provision of non-Linear access to videos by capturing how users deep-link videos. A CUbRIK short research paper presented at ACM Multimedia 2013
CUbRIK Research at CIKM 2012: Efficient Jaccard-based Diversity Analysis of L...
Presentation at CIKM 2013 of the CUbRIK research paper: "Efficient Jaccard-based Diversity Analysis of Large
Document Collections" authored by Fan Deng, Stefan Siersdorfer and Sergej Zerr of L3S Research Center, partner of the CUbRIK Consortium.
CUbRIK Tutorial at ICWE 2013: part 2 - Introduction to Games with a Purpose
2013, 08 July
Part 2 of the tutorial illustrated at ICWE 2013, by Luca Galli (Politecnico di Milano)
Crowdsourcing and human computation are novel disciplines that enable the design of computation processes that include humans as actors for task execution. In such a context, Games With a Purpose are an effective mean to channel, in a constructive manner, the human brainpower required to perform tasks that computers are unable to perform, through computer games. This tutorial introduces the core research questions in human computation, with a specific focus on the techniques required to manage structured and unstructured data. The second half of the tutorial delves into the field of game design for serious task, with an emphasis on games for human computation purposes. Our goal is to provide participants with a wide, yet complete overview of the research landscape; we aim at giving practitioners a solid understanding of the best practices in designing and running human computation tasks, while providing academics with solid references and, possibly, promising ideas for their future research activities.
CUbRIK tutorial at ICWE 2013: part 1 Introduction to Human Computation
2013, July 8
Part 1 of the tutorial illustrated at ICWE 2013, by Alessandro Bozzon (Delft University of Technology)
Crowdsourcing and human computation are novel disciplines that enable the design of computation processes that include humans as actors for task execution. In such a context, Games With a Purpose are an effective mean to channel, in a constructive manner, the human brainpower required to perform tasks that computers are unable to perform, through computer games. This tutorial introduces the core research questions in human computation, with a specific focus on the techniques required to manage structured and unstructured data. The second half of the tutorial delves into the field of game design for serious task, with an emphasis on games for human computation purposes. Our goal is to provide participants with a wide, yet complete overview of the research landscape; we aim at giving practitioners a solid understanding of the best practices in designing and running human computation tasks, while providing academics with solid references and, possibly, promising ideas for their future research activities.
Semantic schema for geonames
Presentation made at INSPIRE 2013, in the Semantics session, by Feroz Farazi, of University of Trento.
The research leading to these results has received funding from the CUbRIK Collaborative Project, partially funded by the European Commission's 7th Framework ICT
Programme for Research and Technological Development under the Grant agreement no. 287704.
Exploiting User Generated Content for Mountain Peak Detection
CUbRIK research used for the classification of mountain panoramas from user-generated photographs followed by identification and extraction of mountain peaks from those panoramas.
CUbRIK and History of Europe
CUbRIK presented during the Poster session of the Workshop „Mehr Personen – Mehr Daten – Mehr Repositorien“ ("More poeple - more data - more repositories") - 4-6 March in Berlin, at Brandenburg Academy of Sciences
More from CUbRIK Project (20)
Matching Game Mechanics and Human Computation Tasks in Games with a Purpose
Matching Game Mechanics and Human Computation Tasks in Games with a Purpose
Building a social graph for the history of Europe: the CUbRIK histoGraph
Building a social graph for the history of Europe: the CUbRIK histoGraph
CUbRIK Fashion Trend Analysis: a Business Intelligence Application
CUbRIK Fashion Trend Analysis: a Business Intelligence Application
Mining Emotions in Short Films: User Comments or Crowdsourcing?
Mining Emotions in Short Films: User Comments or Crowdsourcing?
CUbRIK: Open Box. Multimedia and Human Computation approach
CUbRIK: Open Box. Multimedia and Human Computation approach
ICT 2013: Better Society: empowering Horizon 2020 with trustable social media
ICT 2013: Better Society: empowering Horizon 2020 with trustable social media
How Do We Deep-Link? Leveraging User-Contributed Time-Links for Non-Linear Vi...
How Do We Deep-Link? Leveraging User-Contributed Time-Links for Non-Linear Vi...
CUbRIK Research at CIKM 2012: Efficient Jaccard-based Diversity Analysis of L...
CUbRIK Research at CIKM 2012: Efficient Jaccard-based Diversity Analysis of L...
CUbRIK Tutorial at ICWE 2013: part 2 - Introduction to Games with a Purpose
CUbRIK Tutorial at ICWE 2013: part 2 - Introduction to Games with a Purpose
CUbRIK tutorial at ICWE 2013: part 1 Introduction to Human Computation
CUbRIK tutorial at ICWE 2013: part 1 Introduction to Human Computation
Exploiting User Generated Content for Mountain Peak Detection
Exploiting User Generated Content for Mountain Peak Detection
Recently uploaded
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
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.
A tale of scale & speed: How the US Navy is enabling software delivery from l...
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
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
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.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
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.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Artificial Intelligence for XMLDevelopment
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.
How to Get CNIC Information System with Paksim Ga.pptx
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.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
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.
20240607 QFM018 Elixir Reading List May 2024
Everything I found interesting about the Elixir programming ecosystem in May 2024
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
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.
Securing your Kubernetes cluster_ a step-by-step guide to success !
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
“I’m still / I’m still / Chaining from the Block”
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Full-RAG: A modern architecture for hyper-personalization
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
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/albumentationsGraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Recently uploaded (20)
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
histoGraph presented to MMSP 2013
- 1. CUbRIK Presentation 0 Combining human and machine computation for the digital humanities Demo session at MMSP‘13
- 2. CUbRIK in a nutshell CUbRIK Presentation 1 Open Entities Repository Space/Location Awareness Time Awareness Increase multimedia content processing automatic computation ability Games Q&A Crowdtasks Open to hybrid workflows Humans in the loop Machine tasks Human tasks Social tasks Solve uncertainty from automatic computation using collective intelligence Open to plug-in Off-the-Shelf open source From R&D projects 3rdParty Open to algorithms Open to components White box MM search Processing Indexing
- 4. Humans in the loop CUbRIK Presentation 3 Raw content High level features (automatic annotations) Conflict (e.g., “Image contains ‘Romano Prodi’ ” Confidence = low) ? Conflict store Conflict manager Conflict resolution task store Conflict resolution task: conflict, required skill, priority, .. CUbRIK app for Conflict resolution Game Q&A Crowdtask
- 5. CUbRIK Presentation 4 Context
- 6. Goals New tool for research and exploration ofmultimedia collections Based on two focus groups, two dedicated roundof user interviews and an online questionnaire Showcases integration of CUbRIK components Status Y2 of 3 CUbRIK Presentation 5
- 7. User Story: Who is this person? Tell me more! 6
- 8. Conclusion & Outlook Very specific challenges What is truth? Humanities vs. Computer Science Gathering requirements for tools that haven‘t beendeveloped yet Engaging crowds Image copyrights Refinement of the application Additional datasources Improvement of the interface Integration of the different components 7
- 9. WWW.CUBRIKPROJECT.EU Visit us on 8 @CUBRIKPROJECT Or follow us on Twitter