Title
Audio-Visual Content Analysis in P2P Networks: The SAPIR Approach
Abstract
In this paper we present a new language model based on an odds formula, which explicitly incorporates document length as a parameter. Furthermore, a new smoothing method called exponential smoothing is introduced, which can be combined with most language ...
Year
DOI
Venue
2008
10.1109/DEXA.2008.123
DEXA Workshops
Keywords
Field
DocType
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-visual content analysis,P2P,SAPIR
Data mining,Content analysis,XML,Information retrieval,Computer science,Peer to peer computing,Transform coding,Feature extraction,Content based retrieval,Multimedia,Digital content,Schema (psychology)
Conference
ISSN
Citations 
PageRank 
1529-4188
0
0.34
References 
Authors
8
8
Name
Order
Citations
PageRank
Walter Allasia1134.41
Fabrizio Falchi245955.65
Francesco Gallo3124.10
Mouna Kacimi425719.82
Aaron Kaplan500.34
Jonathan Mamou652728.72
Yosi Mass757460.91
Nicola Orio863987.40