MPEG-7 audio-visual indexing test-bed for video retrieval
| Autor: | Valerie Gouaillier, Francis St-Onge, Langis Gagnon, Julie Dutrisac, Samuel Foucher, Claude Chapdelaine, Christelle Brun, Benoit Champagne, Julie Brousseau, Frédéric Osterrath, Xiaojian Lu, Gilles Boulianne |
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| Rok vydání: | 2003 |
| Předmět: |
Multimedia
business.industry Computer science computer.internet_protocol Search engine indexing ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION computer.software_genre Content-based image retrieval Facial recognition system XQuery The Internet business computer Image retrieval XML computer.programming_language Content management |
| Zdroj: | SPIE Proceedings. |
| ISSN: | 0277-786X |
| Popis: | 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 AudioVisual 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 subsegments. 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. |
| Databáze: | OpenAIRE |
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