Information selective image retrieval | Zendy

Guoping Qiu | Zendy; Mai Yang | Zendy; Jiwu Huang | Zendy

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Information selective image retrieval

Author(s) -

Guoping Qiu,

Mai Yang,

Jiwu Huang

Publication year - 2005

Publication title -

citeseer x (the pennsylvania state university)

Language(s) - English

Resource type - Conference proceedings

ISSN - 0537-9989

ISBN - 0-86341-595-4

DOI - 10.1049/ic.2005.0740

Subject(s) - computer science , image retrieval , variety (cybernetics) , image (mathematics) , information retrieval , automatic image annotation , visual word , artificial intelligence , computer vision , human–computer information retrieval , search engine

In this paper, we introduce an information theoretic concept to image retrieval by first developing a novel method to compute the amount of information contained in image parts, and then using the informative-ness of the image parts to develop a flexible information selective image retrieval (ISIR) technology. We present experimental results which show that the new method is effective and is especially useful for retrieving similar objects from a variety of different backgrounds.

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