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SICO: A System for Detection of Near-Duplicate Images During Search

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SICO: A System for Detection of Near-Duplicate Images During Search
Duplicate and near-duplicate digital image matching is beneficial for image search in terms of collection management, digital content protection, and search efficiency. In this paper, we introduce SICO, a novel system for near-duplicate image detection during web search. It accurately detects nearduplicates in the answers returned by commercial image search engines in real-time. We show that SICO — which utilizes PCA-SIFT local descriptors and adapts near-duplicate text document detection techniques — is both effective and efficient. On a standard desktop personal computer, SICO identifies clusters of near-duplicate images with 93% accuracy in under 30 seconds, for an average of 622 returned images for each query.
Jun Jie Foo, Ranjan Sinha, Justin Zobel
Added 03 Jun 2010
Updated 03 Jun 2010
Type Conference
Year 2007
Where ICMCS
Authors Jun Jie Foo, Ranjan Sinha, Justin Zobel
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