A Genetic Programming Approach for Relevance Feedback in Region-Based Image Retrieval Systems

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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.

Jefersson Alex dos Santos, Cristiano D. Ferreira,

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Computer Graphics | Content-based Image Retrieval | Relevance Feedback Method | Relevance Feedback Technique | SIBGRAPI 2008 |

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Added	01 Jun 2010
Updated	01 Jun 2010
Type	Conference
Year	2008
Where	SIBGRAPI
Authors	Jefersson Alex dos Santos, Cristiano D. Ferreira, Ricardo da Silva Torres

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A Genetic Programming Approach for Relevance Feedback in Region-Based Image Retrieval Systems

Computer Graphics | Content-based Image Retrieval | Relevance Feedback Method | Relevance Feedback Technique | SIBGRAPI 2008 |

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