Supporting subjective image queries without seeding requirements: proposing test queries for Benchathlon

Edward Y. Chang; Kwang-Ting Tim Cheng

doi:10.1117/12.452676

20 December 2001 Supporting subjective image queries without seeding requirements: proposing test queries for Benchathlon

Edward Y. Chang, Kwang-Ting Tim Cheng

Author Affiliations +

Proceedings Volume 4672, Internet Imaging III; (2001) https://doi.org/10.1117/12.452676
Event: Electronic Imaging, 2002, San Jose, California, United States

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.

Citation Download Citation

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); https://doi.org/10.1117/12.452676

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