Searching near-replicas of images via clustering

Details Searching near-replicas of images via clustering Searching near-replicas of images via clustering

Aug 1999

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1999spie.3846..281c&link_type=abstract

Proc. SPIE Vol. 3846, p. 281-292, Multimedia Storage and Archiving Systems IV, Sethuraman Panchanathan; Shih-Fu Chang; C.-C. J.

Computer Science

Multimedia

Scientific paper

Internet piracy has been one of the major concerns for Web publishing. In this study we present a system, RIME, that we have prototyped for detecting unauthorized image copying on the WWW. To speed up the copy detection, RIME uses a new clustering/hashing approach that first clusters similar images on adjacent disk cylinders and then builds indexes to access the clusters made in this way. Searching for the replicas of an image often takes just one IO to loop up the location of the cluster containing similar objects and one sequential file IO to read in this cluster. Our experimental results show that RIME can detect images copies both more efficiently and effectively than the traditional content- based image retrieval systems that use tree-like structures to index images. In addition, RIME copes well with image format conversion, resampling, requantization and geometric transformation.

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