ALL PROJECTS

• AceMedia
  This Integrated Project extracts and exploits meaning inherent to the content in order to automate annotation and to enhance manageability. It uses a multimedia ontology infrastructure and is concerned with ontology-based representation of multimedia content features for semantic analysis but does not emphasize a cross-media approach and involves mostly visual features.
• AIM@SHAPE
  AIM@SHAPE is an FP6-IST Network of Excellence pursuing the introduction of knowledge management techniques in shape modelling, with the aim of making explicit and sharable the knowledge embedded in multi-dimensional media, with focus of 3D content.
• Boemie
  BOEMIE (Bootstrapping Ontology Evolution with Multimedia Information Extraction) this strep will pave the way towards automation of the process of knowledge acquisition from multimedia content, by introducing the notion of evolving multimedia ontologies
• Bsik MultimediaN
  Bsik MultimediaN is a Dutch project related to Learning features, Multi-modal interaction, Multimedia databases, Matrix Software, Semantic access, Personalized information delivery, Personalized information delivery, pilot Safety Application, Video at your fingertips, pilot e-Culture Application, Media & I-services pilot application.
• CITIZEN MEDIA
  CITIZEN MEDIA is a collaborative research project which unites leading creative and technology experts from across Europe on research, development and validation of A/V systems to enable multiple non-professional users to co-create networked applications and experiences based on their own user-generated content. In this project new ways are investigated on how to exploit the huge amount of user-generated content in innovative ways to support people in their daily lives and how technology will enable social change to strongly involve users for co-creating networked applications. This work will introduce new concepts that may modify the role of stakeholders in the classical value chain for content delivery.
• Divas
  DIVAS targets the design, implementation and demonstration of a multimedia search engine based on advanced direct video and audio search algorithms applied on encoded, compact and standards adhering representation formats of the content inside search databases.
• iAD
  This program (Information Access Disruptions) is lead by FAST and targets core research for next generation precision, analytics and scale in information access. Furthermore, iAd builds international networks to identify and execute on global disruption opportunities enabled by emerging services in the information age. iAd will start up at the end of 2006 and will run for 8 years.
• ImagEVAL
  ImagEVAL is a European benchmark that relates to the evaluation of technologies of image filtering, content-based image retrieval (CBIR) and automatic description of images in large scale image databases.
• InfoM@gic
  InfoM@gic is a French project part of the new Cap Digital “Pôle de Compétitivité” Paris IdF (formerly know as IMVN, created by the French government in 2005. It aims to foster research and technological transfer in the field of audio-visual search engine applied to e-learning, cultural heritage.
• JPSearch
  JPSearch, is a recent initiative of the JPEG (ISO/IEC JTC 1/SC29/WG1) normalization group. It aims at standardizing technologies associated to image search systems.
• KSpace
  This Network of Excellence (NoE) in semantic inference for automatic and semi-automatic annotation and retrieval of multimedia content, aiming at closing the gap between the low-level content descriptions that can be computed automatically by a machine and the richness and subjectivity of semantics in high-level human interpretations of audiovisual media.
• LIVE
  LIVE is an integrated, multidisciplinary initiative that will contribute to the IST strategic objective Semantic-based Knowledge and Content Systems and Exploring and bringing to maturity the intelligent content vision.
• Marvel
  Marvel is a Web-based technology that makes digital photos and video searchable through automated tagging of visual content. Marvel is unique in that it learns as it goes, helping users search immense ultimedia content repositories faster and more effectively than ever before.
  The Intelligent Information Management Department at IBM Research is developing a new multimedia analysis and retrieval system called MARVEL. MARVEL helps organize the large and growing amounts of multimedia data (e.g., video, images, audio) by using machine learning techniques to automatically label its content. The system recently won the Wall Street Journal Innovation Award in the multimedia category.
• MESH
  IP will apply multimedia analysis and reasoning tools, network agents and content management techniques to extract, compare and combine meaning from multiple multimedia sources, and produce advanced personalized multimedia summaries, deeply linked among them and to the original sources to provide end users with an easy-to-use concept, with enhanced navigation aids.
• MUSCLE
  Multimedia Understanding through Semantics, Computation and Learning
  MUSCLE aims at creating and supporting a pan-European Network of Excellence to foster close collaboration between research groups in both multimedia data mining and machine learning.
• My e-Director 2012
  My-e-Director 2012, Real-Time Context-Aware and Personalized Media Streaming Environments for Large Scale Broadcasting Applications, is a R&D project that aims to provide a unique interactive broadcasting service enabling end-users to select focal actors and points of interest within real-time broadcasted scenes.
  The project’s activity is executed by key personnel of institution representing Industry, Research Institutions and Universities, which are partially funded under the FP7 of the EC.
  
• Nem
  The Network & Electronic Media (NEM) Technology platform is an industry-led initiative to promote and to accelerate the pace of innovation and provide ambitious inputs for the European Union 7th Framework Programme. The major focus of NEM is on innovative services and applications that constitute different media forms and that are delivered over a wide variety of complementary access networks (satellite, terrestrial, cable, twisted pairs, optical fibre, community installations, microwaves infrastructures, etc.) in a seamless and interactive way to a variety of end-user terminals and devices, including fixed and handheld terminals. NEM has identified Audiovisual search engines as a key challenge for its ambitions.
• P2P Next
  The P2P-Next integrated project will build a next generation Peer-to-Peer (P2P) content delivery platform, to be designed, developed, and applied jointly by a consortium consisting of high-profile academic and industrial players with proven track records in innovation and commercial success.
• PetaMedia
  Peer-to-Peer Tagged Media
  The PETAMEDIA NoE aims at fostering international collaborative research in the areas of multimedia content analysis (MCA) and social and peer-to-peer (SP2P) networks by coordinating the research activities among partner countries, so as to establish a European network composed of national networks, while enabling as well the participation of specific additional interested partners. PETAMEDIA is so composed of four core partners known for their proven track record and coming from four different European states, complemented by four strong national networks and by the interested partners, cf. the figure below. The final purpose of the consortium is to establish a sustainable European virtual centre of excellence connecting thematically interested research groups throughout Europe.
• Pharos
  The PHAROS integrated project will build a next generation audiovisual search platform, to be designed, developed and applied jointly by a consortium consisting of high-profile academic and industrial players with proven track records in innovation and commercial success.
• PLAYMANCER
  PlayMancer (A European Serious Gaming 3D Environment) is a Collaborative Project, started on 1st of November 2007 and running for 36 months in total. 7 partners from 5 countries participate in the project.
• Quaero
  The QUAERO program is a French-German governmental initiative focussing the media content production and management chain with the objective to significantly facilitate access to and usage of multimedia content. Search is central to the programme, which will spend a significant effort into the development of very advanced and possibly disruptive technologies in the areas of audio, language, music, image and video processing as well as data coding, content protection, and high performance networks and storage organization. Total effort planned by the 17 current members is about 2000 Person-years (over 5 years). About the third of this effort concerns technology developments, and the remaining part of the budget is allocated mainly to the development of the applications.
• Rushes
  RUSHES - Retrieval of multimedia semantic units for enhanced reusability
  RUSHES main motivation is the development of seamless indexing, search and retrieval of content, specifically applied to archives of raw media material (rushes), to ease in-house postproduction in both professional and home environments.
• SALERO
  SALERO aims at making cross media-production for games, movies and broadcast faster, better and cheaper by combining computer graphics, language technology, semantic web technologies as well as content based search and retrieval.
• SAPIR
  SAPIR aims at developing large scale distributed P2P architecture to enable audio-visual search by using the query-by-example paradigm.
• SEMEDIA
  SEMEDIA started in January 2007, and the overall objective is to develop a collection of audiovisual search tools that are heavily user driven, preserve metadata along the chain, and are generic enough to be applicable to different fields (broadcasting production, cinema postproduction, social web).
  
• TRIPOD
  TRIPOD - TRI-Partite multimedia Object Description
  TRIPOD aims to develop a series of techniques which will significantly and rapidly advance both the quality and breadth of search results returned from collection of image and multimedia content.
• VICTORY
  Main objectives :
  In light of three dimensional (3D) object retrieval evolving from text annotation to content- and context-based and from standalone applications to web-based search engines, VICTORY aims at the creation of a search engine for 3D and associated multimedia distributed content into Peer-to-Peer (Ñ2Ñ) and mobile Ñ2Ñ (m-Ñ2Ñ) networks.
  
• VIDI-Video
  VIDI-Video - Interactive semantic video search with a large thesaurus of machine-learned audio-visual concepts
  VIDI-Video takes on the challenge of creating a substantially enhanced semantic access to video, implemented in a search engine. The project will boost the performance of video search by a 1000 element thesaurus detecting instances of audio, visual or mixed-media content.
• VISNET-II
  VISNET II builds on the success and achievements of the VISNET NoE to continue the progress towards achieving the NoE mission of creating a sustainable world force in Networked Audiovisual (AV) Media Technologies. VISNET II is a network of excellence with a clear vision for integration, research and dissemination plans. The research activities within VISNET II will cover 3 major thematic areas related to networked 2D/3D AV systems and home platforms.
• VITALAS
  VITALAS - Video & image Indexing and Retrieval in the Large Scale
  VITALAS is a use-case driven project that aims at providing a pre-industrial prototype system dedicated to intelligent access services for multimedia professional archives that would provide the consumer with new technological functionalities.
• X-Media
  X-Media
  This Integrated Project (IP) addresses the issue of knowledge management including image analysis and retrieval in complex distributed environments.