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» Content-Based Color Image Retrieval with Relevance Feedback
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CIVR
2007
Springer
119views Image Analysis» more  CIVR 2007»
14 years 2 months ago
An in-memory relevance feedback technique for high-performance image retrieval systems
Content-based image retrieval with relevant feedback has been widely adopted as the query model of choice for improved effectiveness in image retrieval. The effectiveness of thi...
Ning Yu, Khanh Vu, Kien A. Hua
CIVR
2005
Springer
107views Image Analysis» more  CIVR 2005»
14 years 2 months ago
Region Filtering Using Color and Texture Features for Image Retrieval
This paper presents a region-based image retrieval (RBIR) system in which users can choose specific regions as the query. Our goal is to assist the user to formulate more precise q...
Cheng-Chieh Chiang, Ming-Han Hsieh, Yi-Ping Hung, ...
ICMCS
2007
IEEE
138views Multimedia» more  ICMCS 2007»
14 years 3 months ago
A Compact and Efficient Color Descriptor for Image Retrieval
— An important problem in color based image retrieval is the lack of efficient way to represent both the color and the spatial structure information with single descriptor. To so...
Ka-Man Wong, Lai-Man Po, Kwok-Wai Cheung
CBMS
2005
IEEE
14 years 2 months ago
Relevance Feedback for Spine X-ray Retrieval
Relevance feedback (RF) has been an active research area in Content-based Image Retrieval (CBIR). RF intends to bridge the gap between the low-level image features and the high-le...
Xiaoqian Xu, D. J. Lee, Sameer Antani, L. Rodney L...
SAC
2006
ACM
14 years 2 months ago
Relevance feedback methods for logo and trademark image retrieval on the web
Relevance feedback is the state-of-the-art approach for adjusting query results to the needs of the users. This work extends the existing framework of image retrieval with relevan...
Euripides G. M. Petrakis, Klaydios Kontis, Epimeni...