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ICDE
2006
IEEE
191views Database» more  ICDE 2006»
14 years 8 months ago
Query Decomposition: A Multiple Neighborhood Approach to Relevance Feedback Processing in Content-based Image Retrieval
Today's Content-Based Image Retrieval (CBIR) techniques are based on the "k-nearest neighbors" (kNN) model. They retrieve images from a single neighborhood using lo...
Kien A. Hua, Ning Yu, Danzhou Liu
MM
2004
ACM
129views Multimedia» more  MM 2004»
14 years 4 days ago
A novel log-based relevance feedback technique in content-based image retrieval
Relevance feedback has been proposed as an important technique to boost the retrieval performance in content-based image retrieval (CBIR). However, since there exists a semantic g...
Chu-Hong Hoi, Michael R. Lyu
ICIP
1997
IEEE
14 years 8 months ago
Content-Based Image Retrieval with Relevance Feedback in MARS
Yong Rui, Thomas S. Huang, Sharad Mehrotra
MUE
2007
IEEE
124views Multimedia» more  MUE 2007»
14 years 1 months ago
Music Information Retrieval Using a GA-based Relevance Feedback
Recently, there has been an increased interest in the query reformulation using relevance feedback with evolutionary techniques such as genetic algorithm for multimedia informatio...
Seungmin Rho, Eenjun Hwang, Minkoo Kim
ISCIS
2009
Springer
14 years 1 months ago
Dynamic feature weights with relevance feedback in content-based image retrieval
— In this paper, we present a novel relevance feedback method for Content-Based Image Retrieval systems based on dynamic feature weights. The proposed method utilizes intracluste...
Esin Guldogan, Moncef Gabbouj