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Audio-Visual Content Analysis in P2P Networks: The SAPIR Approach

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DEXA.2008.123

2008 19th International Conference on ...

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	Similar Articles Articles by Walter Allasia Articles by Fabrizio Falchi Articles by Francesco Gallo Articles by Mouna Kacimi Articles by Aaron Kaplan Articles by Jonathan Mamou Articles by Yosi Mass Articles by Nicola Orio

	ASCII Text	x
	Walter Allasia, Fabrizio Falchi, Francesco Gallo, Mouna Kacimi, Aaron Kaplan, Jonathan Mamou, Yosi Mass, Nicola Orio, "Audio-Visual Content Analysis in P2P Networks: The SAPIR Approach," Database and Expert Systems Applications, International Workshop on, vol. 0, no. 0, pp. 610-614, 2008 19th International Conference on Database and Expert Systems Application, 2008.

	BibTex	x
	@article{ 10.1109/DEXA.2008.123, author = {Walter Allasia and Fabrizio Falchi and Francesco Gallo and Mouna Kacimi and Aaron Kaplan and Jonathan Mamou and Yosi Mass and Nicola Orio}, title = {Audio-Visual Content Analysis in P2P Networks: The SAPIR Approach}, journal ={Database and Expert Systems Applications, International Workshop on}, volume = {0}, year = {2008}, issn = {1529-4188}, pages = {610-614}, doi = {http://doi.ieeecomputersociety.org/10.1109/DEXA.2008.123}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Database and Expert Systems Applications, International Workshop on TI - Audio-Visual Content Analysis in P2P Networks: The SAPIR Approach SN - 1529-4188 SP610 EP614 A1 - Walter Allasia, A1 - Fabrizio Falchi, A1 - Francesco Gallo, A1 - Mouna Kacimi, A1 - Aaron Kaplan, A1 - Jonathan Mamou, A1 - Yosi Mass, A1 - Nicola Orio, PY - 2008 KW - P2P KW - Audio-visual content analysis KW - SAPIR VL - 0 JA - Database and Expert Systems Applications, International Workshop on ER -

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.

Index Terms:

P2P, Audio-visual content analysis, SAPIR

Citation:

Walter Allasia, Fabrizio Falchi, Francesco Gallo, Mouna Kacimi, Aaron Kaplan, Jonathan Mamou, Yosi Mass, Nicola Orio, "Audio-Visual Content Analysis in P2P Networks: The SAPIR Approach," dexa,pp.610-614, 2008 19th International Conference on Database and Expert Systems Application, 2008

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