VIDI-Video

VIDI-Video project takes on the challenge of creating a substantially enhanced semantic access to video, implemented in a search engine. The engine will boost the performance of video search by forming a 1000 element thesaurus detecting instances of audio, visual or mixed-media content.

Concrete outputs will be a fully implemented audio-visual search engine, consisting of two main parts, viz. a learning system and a runtime system, where the former will feed its results into the latter after each round of training-and-thesaurus-update. The learning system will consist of software to be developed for overall video processing; visual analysis; audio analysis; integrated feature detector; and multimedia query and user interface.

The key objectives of this project are:

1. to build a large scale thesaurus well-spread over the semantic clues

2. to design, adapt and evaluate methods to learn large thesauri of detectors

3. to define and evaluate powerful sets of visual, audio, and cross-modal invariant features

4. to deliver effective interaction with the user

5. to evaluate the approach in relevant application areas

Consortium

Universiteit van Amsterdam, UvA
Centre for Research and Technology Hellas, CERTH
Instituto de Engenharia de Sistemas e Computadores, INESC-ID
University of Surrey, UNIS
Universitΰ degli Studi di Firenze, UNIFI
Computer Vision Center, CVC
Stichting Nederlands Instituut voor Beeld & Geluid, B&G
Fondazione Rinascimento Digitale, FRD