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Searching the Video: An Efficient Indexing Method for Video Retrieval in Peer to Peer Network

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Advances in Multimedia Modeling (MMM 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4352))

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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.

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© 2006 Springer-Verlag Berlin Heidelberg

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Hsiao, MH., Tsai, WJ., Lee, SY. (2006). Searching the Video: An Efficient Indexing Method for Video Retrieval in Peer to Peer Network. In: Cham, TJ., Cai, J., Dorai, C., Rajan, D., Chua, TS., Chia, LT. (eds) Advances in Multimedia Modeling. MMM 2007. Lecture Notes in Computer Science, vol 4352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69429-8_18

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  • DOI: https://doi.org/10.1007/978-3-540-69429-8_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69428-1

  • Online ISBN: 978-3-540-69429-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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