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

Author

Allasia, Walter ; Falchi, Fabrizio ; Gallo, Francesco ; Kacimi, Mouna ; Kaplan, Aaron ; Mamou, Jonathan ; Mass, Yosi ; Orio, Nicola

Author_Institution

EURIX Group Torino, Turin

fYear

2008

fDate

1-5 Sept. 2008

Firstpage

610

Lastpage

614

Abstract

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.

Keywords

content-based retrieval; peer-to-peer computing; P2P networks; audio-visual collections; audio-visual content analysis; complex media like videos; digital content; image analyzers; media specific analysis; speech analyzers; Audio databases; Content based retrieval; Europe; Expert systems; Feature extraction; Image analysis; MPEG 7 Standard; Speech analysis; Videos; Web pages; Audio-visual content analysis; P2P; SAPIR;

fLanguage

English

Publisher

ieee

Conference_Titel

Database and Expert Systems Application, 2008. DEXA '08. 19th International Workshop on

Conference_Location

Turin

ISSN

1529-4188

Print_ISBN

978-0-7695-3299-8

Type

conf

DOI

10.1109/DEXA.2008.123

Filename

4624785