Using relevance feedback in content-based image metasearch

Ana B. Benitez; Mandis Beigi; Shih-Fu Chang

doi:10.1109/4236.707692

IEEE Internet Computing

Paper

01 Jul 1998

Using relevance feedback in content-based image metasearch

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Abstract

MetaSeek is an image metasearch engine developed to explore me query of large, distributed, online visual information systems. The current implementation integrates user feedback into a performance-ranking mechanism.

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Abstract

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Using self-authentication-and-recovery images for error concealment in wireless environments

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A CRYPTO SIGNATURE SCHEME for IMAGE AUTHENTICATION over WIRELESS CHANNEL