Project description
Search Engines
Video is vital to society and economy, playing a key role in news, cultural heritage documentaries, and surveillance and is becoming the natural form of communication for the Internet and mobile phones. Consumers and professionals alike need advanced storage and search technology for the management of large-scale video assets. This project takes on the challenge of creating a substantially enhanced semantic access to video, implemented in a search engine.
Video search engines result from the progress in many technologies: visual analysis; audio processing; machine learning; visualization, and interaction technology. A good measure of the overall progress is the TRECVID competition, posing increasingly hard and realistic problems with the obligation to discuss methods openly. In 2005, the best interactive video search came from the coordinating partner of this project.
This project will boost the performance of video search by basing it on a 10-fold enhancement of the thesaurus characterizing audio, visual or mixed-media content. In the US, a similar grand challenge has been posed. This project's approach is to let the system learn many, possibly weaker, detectors instead of modelling a few of them carefully. The combination of many detectors describing different aspects of the video content will render a much richer basis for the semantics.
The Consortium presents excellent expertise and resources: the machine learning is lead by Univ. of Surrey; video stream processing is lead by CERTH, Greece. The component audio event detection, is lead by INESC-ID, Portugal; visual image processing is lead by Univ. of Amsterdam; The Univ. of Florence leads the efforts in interaction, and CVC, Spain leads software consolidation. Finally, Beeld & Geluid, the Netherlands, and FRD, Italy, as application stakeholders, provide data and perform evaluation and dissemination.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software
- natural sciences computer and information sciences internet
- humanities arts modern and contemporary art cinematography
- engineering and technology electrical engineering, electronic engineering, information engineering information engineering telecommunications mobile phones
- natural sciences computer and information sciences artificial intelligence machine learning
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP6-2005-IST-6
See other projects for this call
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
1098 SJ Amsterdam
Netherlands
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.