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Proceedings Paper

Refining image retrieval based on context-driven methods
Author(s): Dezhong Hong; Jiankang Wu; Sumeet Sohan Singh
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Paper 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.

Paper Details

Date Published: 17 December 1998
PDF: 12 pages
Proc. SPIE 3656, Storage and Retrieval for Image and Video Databases VII, (17 December 1998); doi: 10.1117/12.333878
Show Author Affiliations
Dezhong Hong, Kent Ridge Digital Labs. (Singapore)
Jiankang Wu, Kent Ridge Digital Labs. (Singapore)
Sumeet Sohan Singh, Kent Ridge Digital Labs. (Singapore)

Published in SPIE Proceedings Vol. 3656:
Storage and Retrieval for Image and Video Databases VII
Minerva M. Yeung; Boon-Lock Yeo; Charles A. Bouman, Editor(s)

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