Similarity Image Retrieval System Using Hierarchical Classification

Authors:
Masahiro Tada;Toshikazu Kato;Isao Shinohara
Affiliations:
-;-;-
Venue:
DEXA '02 Proceedings of the 13th International Conference on Database and Expert Systems Applications
Year:
2002

Citing 2
Cited 0

Computer Vision

Computer Vision
Query by Visual Example - Content based Image Retrieval

EDBT '92 Proceedings of the 3rd International Conference on Extending Database Technology: Advances in Database Technology

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Abstract

We developed a similarity image retrieval system for database consists of various kinds and large amount of image data. Our system has the following features. (1) The similarity retrieval algorithm selects the most similar group to the visual key step by step as a search space so that the system could achieve less computation and better precision. (2) The system can easily adapt each user's subjective criterion for similarity. (3) The interface is so user friendly that just showing a key image is enough to invoke content-based image retrieval. Based on the features above, we developed and evaluated a similarity retrieval system using cellular phone with digital camera as a multimedia terminal.