Paper Info
Title
Searching the video: an efficient indexing method for video retrieval in peer to peer network
Abstract
More and more applications require peer-to-peer (P2P) systems to support complex queries over multi-dimensional data. The retrieval facilities of most P2P systems are limited to queries based on a unique identifier or a small set of keywords. The techniques used for this purpose are hardly applicable for content-based video retrieval in a P2P network (CBP2PVR). In this paper, we present the design of a distributed P2P video sharing system that supports content-based video retrieval. First we will propose the compact signature generation of video shot which can be distributed in a P2P network and used as the basis for a source selection. Second, a Global Indexing structure based on proposed novel PVR-tree index schema allows communicating only with a small fraction of all peers during query processing without deteriorating the result quality significantly. We will also present experimental results confirming our approach.
Year
DOI
Venue
2007
10.1007/978-3-540-69429-8_18
MMM (2)
Keywords
Field
DocType
efficient indexing method,small fraction,retrieval facility,p2p network,small set,present experimental result,content-based video retrieval,p2p system,p2p video sharing system,video retrieval,video shot,p2p,indexation
Peer-to-peer,Information retrieval,Identifier,Computer science,Multidimensional analysis,Image retrieval,Search engine indexing,Image processing,Video tracking,Unique identifier
Conference
Volume
ISSN
ISBN
4352
0302-9743
3-540-69428-5
Citations 
PageRank 
References 
0
0.34
12
Authors
3
Name
Order
Citations
PageRank
Ming-Ho Hsiao1495.13
Wen-Jiin Tsai217419.57
Suh-Yin Lee31596319.67