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3DTVS

Activity Period: 
01/11/2011 - 31/01/2015
Status: 
Finished

3DTVS

3DTVS (FP7-287674) (3DTV Content Search) is a Collaborative Project, that started on November 1st, 2011 and it is scheduled to run for 36 months. In 3DTVS there are 7 partners from 3 countries representing Universities, Research Institutions and Industry.

The goal of the 3DTVS project is to devise scalable 3DTV AV content description, indexing, search and browsing methods across open platforms, by using mobile and desktop user interfaces and to incorporate such functionalities in 3D audiovisual content archives. The major novelty in 3DTV content indexing/retrieval research will be on how to exploit 3D (depth) information for stereo and multiview video indexing, retrieval and browsing that could address semantic queries of the form ‘find stereo videos with shallow depth’ or ‘find stereo videos, where actor X approaches actor Y’. 3D multichannel audio analysis will perform better audio source (e.g. musical instrument) separation and localization that will be used in 3D audio/cross-modal indexing and retrieval. Multimodal 3D audiovisual content analysis will built on the results of 3D video and audio analysis. 3DTV content description and search mechanisms will be developed to enable fast reply to semantic queries. User friendly mobile/desktop search interfaces will be built that could also permit adaptation to the user needs and profile. The novel results that will be generated within 3DTVS will:

  • Reinforce the position of the European ICT and digital media industry in the 3D television sector, by opening wider market opportunities;
  • Provide greater creativity both to 3DTV professionals and to the average user, stimulated through technologies and tools to search/exchange professional and user generated 3DTV content, possibly also to be used in immersive and interactive applications;
  • Provide innovative offers to 3DTV content aggregators with tools and interfaces audiovisual 3DTV content consumption.

See the official project page for more information

Specific Research Theme: Détection d'évenements sonore, Source Separation
Principal Research Theme: Signal Analysis, Audio Indexing
Associated People: Alex Baker, Axel Roebel, Elie Laurent Benaroya, Geoffroy Peeters, Marco Liuni, Yuki Mitsufuji
Project Finance: EU FP7
Associated Project: 3DTVS