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

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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. © Springer-Verlag Berlin Heidelberg 2007.

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APA

Hsiao, M. H., Tsai, W. J., & Lee, S. Y. (2007). Searching the video: An efficient indexing method for video retrieval in peer to peer network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4352 LNCS, pp. 175–184). https://doi.org/10.1007/978-3-540-69429-8_18

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