Searching the video: An efficient indexing method for video retrieval in peer to peer network

Ming Ho Hsiao, W. J. Tsai, Suh Yin Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


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.

Original languageEnglish
Title of host publicationAdvances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings
Number of pages10
EditionPART 2
StatePublished - 2007
Event13th International Multimedia Modeling Conference, MMM 2007 - Singapore, Singapore
Duration: 9 Jan 200712 Jan 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume4352 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference13th International Multimedia Modeling Conference, MMM 2007


  • Content based video retrieval
  • Multi-dimensional indexing
  • Peer to peer network


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