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Proceedings Paper

Supporting subjective image queries without seeding requirements: proposing test queries for Benchathlon
Author(s): Edward Y. Chang; Kwang-Ting Tim Cheng
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Paper Abstract

Traditional content-based image retrieval (CBIR) systems suffer from at least two shortcomings. First, most systems require users to provide good images to initiate queries. We argue that finding good seeds is the job of the search engine itself, and this circular requirement leaves the core problem---understanding users' query concepts---unsolved. The second shortcoming is that most systems fail to adequately model users' subjectivity. This paper proposes two test queries to Benchathlon for steering the CBIR community to seriously address the above issues. We also present a search scenario to show how such queries may be supported and their performance be measured.

Paper Details

Date Published: 20 December 2001
PDF: 8 pages
Proc. SPIE 4672, Internet Imaging III, (20 December 2001); doi: 10.1117/12.452676
Show Author Affiliations
Edward Y. Chang, Univ. of California/Santa Barbara (United States)
Kwang-Ting Tim Cheng, Univ. of California/Santa Barbara (United States)

Published in SPIE Proceedings Vol. 4672:
Internet Imaging III
Giordano B. Beretta; Raimondo Schettini, Editor(s)

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