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» Content-Based Color Image Retrieval with Relevance Feedback
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ICIP
2001
IEEE
14 years 10 months ago
VISMap: an interactive image/video retrieval system using visualization and concept maps
Images and videos can be indexed by multiple features at different levels, such as color, texture, motion, and text annotation. Organizing this information into a system so that u...
William Chen, Shih-Fu Chang
INEX
2005
Springer
14 years 2 months ago
TIJAH Scratches INEX 2005: Vague Element Selection, Image Search, Overlap, and Relevance Feedback
Retrieving information from heterogeneous data sources in a flexible manner and within a single (database) framework is still a challenge. In this paper we present several extensi...
Vojkan Mihajlovic, Georgina Ramírez, Thijs ...
ICIP
2007
IEEE
14 years 10 months ago
Dominant Color Structure Descriptor for Image Retrieval
-- A new Dominant Color Structure Descriptor (DCSD) is proposed in this paper. It is designed to provide an efficient way to represent both color and spatial structure information ...
Ka-Man Wong, Lai-Man Po, Kwok-Wai Cheung
ICCV
2011
IEEE
12 years 8 months ago
HEAT: Iterative Relevance Feedback with One Million Images
It has been shown repeatedly that iterative relevance feedback is a very efficient solution for content-based image retrieval. However, no existing system scales gracefully to hu...
Nicolae Suditu, Francois Fleuret
CIVR
2008
Springer
127views Image Analysis» more  CIVR 2008»
13 years 10 months ago
Performance evaluation of relevance feedback methods
In this paper we review the evaluation of relevance feedback methods for content-based image retrieval systems. We start out by presenting an overview of current common practice, ...
Mark J. Huiskes, Michael S. Lew