Refining image retrieval based on context-driven methods

17 December 1998 Refining image retrieval based on context-driven methods

Dezhong Hong, Jiankang Wu, Sumeet Sohan Singh

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Proceedings Volume 3656, Storage and Retrieval for Image and Video Databases VII; (1998) https://doi.org/10.1117/12.333878
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

Abstract

A prototype of the content-based image retrieval system is implemented, based on the algorithms introduced in this paper. The image contents at the high levels are extracted. The fuzzy C means classifier is employed to compute the object clusters and provide useful information for overlapped clusters. Automatic image segmentation and categorization are achieved. To obtain the context for image retrieval, the subjective and objective contexts are modeled by means of the fuzzy sets theory. The system is able to trace the users' interactions during retrieval. The refinements of the retrieval results can be made, while the users are submitting the queries telling the specific requirements.

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Dezhong Hong, Jiankang Wu, and Sumeet Sohan Singh "Refining image retrieval based on context-driven methods", Proc. SPIE 3656, Storage and Retrieval for Image and Video Databases VII, (17 December 1998); https://doi.org/10.1117/12.333878

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