Genetic Algorithm-Based Relevance Feedback for Image Retrieval Using Local Similarity Patterns.

Stejic, Zoran; Takama, Yasufumi; Hirota, Kaoru

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Peer reviewed

ERIC Number: EJ661488

Record Type: Journal

Publication Date: 2003

Pages: N/A

Abstractor: N/A

ISBN: N/A

ISSN: ISSN-0306-4573

EISSN: N/A

Genetic Algorithm-Based Relevance Feedback for Image Retrieval Using Local Similarity Patterns.

Stejic, Zoran; Takama, Yasufumi; Hirota, Kaoru

Information Processing & Management, v39 n1 p1-23 Jan 2003

Proposes local similarity pattern (LSP) as a new method for computing digital image similarity. Topics include optimizing similarity computation based on genetic algorithm; relevance feedback; and an evaluation of LSP on five databases that showed an increase in retrieval precision over other methods for computing image similarity. (Author/LRW)

Descriptors: Algorithms, Databases, Evaluation Methods, Genetics, Information Retrieval, Relevance (Information Retrieval)

Publication Type: Journal Articles; Reports - Descriptive

Education Level: N/A

Audience: N/A

Language: English

Sponsor: N/A

Authoring Institution: N/A

Grant or Contract Numbers: N/A

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