15 December 2003 MPEG-7 audio-visual indexing test-bed for video retrieval
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Abstract
This paper reports on the development status of a Multimedia Asset Management (MAM) test-bed for content-based indexing and retrieval of audio-visual documents within the MPEG-7 standard. The project, called "MPEG-7 Audio-Visual Document Indexing System" (MADIS), specifically targets the indexing and retrieval of video shots and key frames from documentary film archives, based on audio-visual content like face recognition, motion activity, speech recognition and semantic clustering. The MPEG-7/XML encoding of the film database is done off-line. The description decomposition is based on a temporal decomposition into visual segments (shots), key frames and audio/speech sub-segments. The visible outcome will be a web site that allows video retrieval using a proprietary XQuery-based search engine and accessible to members at the Canadian National Film Board (NFB) Cineroute site. For example, end-user will be able to ask to point on movie shots in the database that have been produced in a specific year, that contain the face of a specific actor who tells a specific word and in which there is no motion activity. Video streaming is performed over the high bandwidth CA*net network deployed by CANARIE, a public Canadian Internet development organization.
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Langis Gagnon, Samuel Foucher, Valerie Gouaillier, Christelle Brun, Julie Brousseau, Gilles Boulianne, Frederic Osterrath, Claude Chapdelaine, Julie Dutrisac, Francis St-Onge, Benoit Champagne, Xiaojian Lu, "MPEG-7 audio-visual indexing test-bed for video retrieval", Proc. SPIE 5304, Internet Imaging V, (15 December 2003); doi: 10.1117/12.524495; https://doi.org/10.1117/12.524495
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