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A Genetic Programming Approach for Relevance Feedback in Region-based Image Retrieval Systems
| Citations: | 2 - 2 self |
BibTeX
@MISC{Santos_agenetic,
author = {Jefersson Alex Dos Santos and Cristiano Dalmaschio Ferreira and Ricardo Da Silva Torres},
title = {A Genetic Programming Approach for Relevance Feedback in Region-based Image Retrieval Systems},
year = {}
}
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Abstract
This paper presents a new relevance feedback method for content-based image retrieval using local image features. This method adopts a genetic programming approach to learn user preferences and combine the region similarity values in a query session. Experiments demonstrate that the proposed method yields more effective results than the Local Aggregation Pattern (LAP)-based relevance feedback technique. 1
Keyphrases
genetic programming approach region-based image retrieval system relevance feedback local aggregation pattern method yield region similarity value new relevance feedback method user preference query session relevance feedback technique local image feature effective result content-based image retrieval
