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PRL
2008
143views more  PRL 2008»
15 years 29 days ago
An active feedback framework for image retrieval
In recent years, relevance feedback has been studied extensively as a way to improve performance of content-based image retrieval (CBIR). Since users are usually unwilling to prov...
Tao Qin, Xu-Dong Zhang, Tie-Yan Liu, De-Sheng Wang...
ESWA
2008
127views more  ESWA 2008»
15 years 1 months ago
A two-level relevance feedback mechanism for image retrieval
Content-based image retrieval (CBIR) is a group of techniques that analyzes the visual features (such as color, shape, texture) of an example image or image subregion to find simi...
Pei-Cheng Cheng, Been-Chian Chien, Hao-Ren Ke, Wei...
ICMCS
2005
IEEE
155views Multimedia» more  ICMCS 2005»
15 years 7 months ago
Content-Free Image Retrieval Based on Relations Exploited from User Feedbacks
We propose a new “content-free” image retrieval method which attempts to exploit certain common tendencies that exist among people’s interpretation of images from user feedb...
Shingo Uchihashi, Takeo Kanade
MMDB
2003
ACM
94views Multimedia» more  MMDB 2003»
15 years 6 months ago
Improving image retrieval effectiveness via multiple queries
Conventional approaches to image retrieval are based on the assumption that relevant images are physically near the query image in some feature space. This is the basis of the clu...
Xiangyu Jin, James C. French
MM
2004
ACM
129views Multimedia» more  MM 2004»
15 years 7 months 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