15 December 2003 MPEG-7 audio-visual indexing test-bed for video retrieval
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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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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