PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Allasia W., Falchi F., Gallo F., Kacimi M., Mamou J., Mass Y., Orio N. Audio-visual content analysis in P2P networks: the SAPIR approach. In: DEXA'08 - 1st International Workshop on Automated Information Extraction in Media Production in conjunction with the 19th International Conference on Database and Expert Systems Application (Turin, Italy, 1-5 September 2008). Proceedings, pp. 610 - 614. IEEE Computer Society, 2008.
 
 
Abstract
(English)
Content based search in audio-visual collections requires media specific analysis for extracting low level features to be efficiently indexed and searched. We present the SAPIR media framework for analyzing digital content and representing the extracted features in a common schema, used to index and search content in a P2P network. The framework contains splitters of compound objects into simple objects to deal with complex media like videos, using image and speech analyzers. We report usage of this framework in the SAPIR demo.
URL: http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=4624651&isYear=2008&count=148&page=4&ResultStart=100
DOI: 10.1109/DEXA.2008.123
Subject Peer-to-Peer
Audio-Visual
Content analysis
SAPIR
H.3.3 Information Search and Retrieval


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