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20 December 2001 Supporting subjective image queries without seeding requirements: proposing test queries for Benchathlon
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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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Edward Y. Chang and Kwang-Ting Tim Cheng "Supporting subjective image queries without seeding requirements: proposing test queries for Benchathlon", Proc. SPIE 4672, Internet Imaging III, (20 December 2001); doi: 10.1117/12.452676; https://doi.org/10.1117/12.452676
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