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Recuperação de Imagens da Web Utilizando Múltiplas Evidências Textuais e Programação Genética

Katia C. L. SantosHumberto M. AlmeidaMarcos A. GonçalvesRicardo da S. Torres

This paper describes an image retrieval framework that employs a evolutionary approach. The proposed framework explores Genetic Programming for combining multiple textual sources of evidence associated to Web images. Experiments performed with a collection extracted from the Web formed by 1,223,829 pages and 254,495 images showed that the evolutionary framework was able to overcome the Belief Networks (Bayesian Model) with gains upper to 100% for precision (p@n and MAP) and recall measures.

http://www.lbd.dcc.ufmg.br:8080/colecoes/sbbd/2009/007.pdf

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