Exploring the Nature and Variants of Relevance Feedback

Authors:
Xiang Sean Zhou;Thomas S. Huang
Affiliations:
-;-
Venue:
CBAIVL '01 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'01)
Year:
2001

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Abstract

We analyze the nature of the relevance feedback problem in a continuous representation space in the context of multimedia information retrieval.Emphasis is put on exploring the uniqueness of the problem and comparing the assumptions, implementations, and meritsof various solutions in the literature.An attempt is made to compile a list of critical issues to consider whendesigning a relevance feedback algorithm.With astate-of-the-art review as the main portion, this paper also offers some novel solutions and perspective throughout thediscussions.