A genetic programming approach for relevance feedback in region-based image retrieval systems
JA dos Santos, CD Ferreira… - 2008 XXI Brazilian …, 2008 - ieeexplore.ieee.org
JA dos Santos, CD Ferreira, R da Silva Torres
2008 XXI Brazilian Symposium on Computer Graphics and Image Processing, 2008•ieeexplore.ieee.orgThis 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.
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.
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.
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