Project description
Search Engines
Direct Video and audio content search engine
The DIVAS proposal tackles the design and implementation of a multimedia search engine based on advanced direct video and audio search algorithms and efficient content representation in compact search databases. The driving force is to disjoint audio/video search from the availability of laboriously annotated metadata databases, while at the same time reducing significantly storage requirements and search time.
The developed algorithms will provide an alternative and complementary path to semantic metadata based audio/video content search. The proposed approach advocates the automatic extraction of content features (fingerprints), directly from the compressed content, thus greatly accelerating the fingerprint extraction phase as well as the search process.
The search databases will comprise features that uniquely characterise compressed content, and will be rather compact and suitable for binary search techniques. The search engine will be applicable to a number of different use cases ranging from "similarity" searches for audio/video web content, to information harvesting and data mining. Another interesting application is the development on "stream searchers" suitable for DRM resolution, advertisement time tracking etc.
The proposed improvements will ultimately lead to the introduction and seamless integration of audiovisual searching to ANY WEB search engine, and the location of video content ANYWHERE, irrespective of transformations and annotations, thus adding true multimedia search capability to ambient intelligence. The project will deliver complete system architecture, a system level demonstrator (available through the web for user evaluation), studies and design methodologies for application integration.
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 databases
- natural sciences computer and information sciences data science data mining
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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
17672 KALLITHEA, ATHENS
Greece
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.