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

  • Authors:
  • Ming-Ho Hsiao;Wen-Jiin Tsai;Suh-Yin Lee

  • Affiliations:
  • Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan, ROC;Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan, ROC;Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan, ROC

  • Venue:
  • MMM'07 Proceedings of the 13th International conference on Multimedia Modeling - Volume Part II
  • Year:
  • 2007

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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.