Automatic Annotation and Retrieval of Images

Authors:
Yuqing Song;Wei Wang;Aidong Zhang
Affiliations:
Department of Computer and Information Science, The University of Michigan at Dearborn, Dearborn, MI 48128, USA yqsong@engin.umd.umich.edu;Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY 14260, USA wwang3@cse.buffalo.edu;Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY 14260, USA azhang@cse.buffalo.edu
Venue:
World Wide Web
Year:
2003

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Abstract

A major bottleneck in content-based image retrieval (CBIR) systems or search engines is the large gap between low-level image features used to index images and high-level semantic contents of images. One solution to this bottleneck is to apply relevance ...