Document - Audio-visual content analysis in P2P networks: the SAPIR approach

2008

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Audio-visual content analysis in P2P networks: the SAPIR approach

Allasia W., Falchi F., Gallo F., Kacimi M., Kaplan A., Mamou J., Mass Y., Orio N.

Peer-to-Peer SAPIR Audio-Visual Content analysis

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.

Source: 1st International Workshop on Automated Information Extraction in Media Production in conjunction with the 19th International Conference on Database and Expert Systems Application, pp. 610–614, Turin, Italy, 1-5-/09/2008

Publisher: IEEE, New York, USA

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@inproceedings{oai:it.cnr:prodotti:91827,
	title = {Audio-visual content analysis in P2P networks: the SAPIR approach},
	author = {Allasia W. and Falchi F. and Gallo F. and Kacimi M. and Kaplan A. and Mamou J. and Mass Y. and Orio N.},
	publisher = {IEEE, New York, USA},
	doi = {10.1109/dexa.2008.123},
	booktitle = {1st International Workshop on Automated Information Extraction in Media Production in conjunction with the 19th International Conference on Database and Expert Systems Application, pp. 610–614, Turin, Italy, 1-5-/09/2008},
	year = {2008}
}