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Using Relevance Feedback in Content-Based Image Metasearch
July/August 1998 (vol. 2 no. 4)
pp. 59-69

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

Citation:
Ana B. Benitez, Mandis Beigi, Shih-Fu Chang, "Using Relevance Feedback in Content-Based Image Metasearch," IEEE Internet Computing, vol. 2, no. 4, pp. 59-69, July-Aug. 1998, doi:10.1109/4236.707692
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