MUSE: A Content-Based Image Search and Retrieval System Using Relevance Feedback

@article{Marques2002MUSEAC,
  title={MUSE: A Content-Based Image Search and Retrieval System Using Relevance Feedback},
  author={Oge Marques and Borko Furht},
  journal={Multimedia Tools and Applications},
  year={2002},
  volume={17},
  pages={21-50}
}
The field of Content-Based Visual Information Retrieval (CBVIR) has experienced tremendous growth in the recent years and many research groups are currently working on solutions to the problem of finding a desired image or video clip in a huge archive without resorting to metadata. This paper describes the ongoing development of a CBVIR system for image search and retrieval with relevance feedback capabilities. It supports browsing, query-by-example, and two different relevance feedback modes… CONTINUE READING
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