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» Content-Based Color Image Retrieval with Relevance Feedback
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138
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CIVR
2008
Springer
152views Image Analysis» more  CIVR 2008»
15 years 5 months ago
FISH: a practical system for fast interactive image search in huge databases
The problem of search and retrieval of images using relevance feedback has attracted tremendous attention in recent years from the research community. A real-world-deployable inte...
Pradhee Tandon, Piyush Nigam, Vikram Pudi, C. V. J...
149
Voted
CVPR
2004
IEEE
16 years 5 months ago
Hidden Semantic Concept Discovery in Region Based Image Retrieval
This paper addresses Content Based Image Retrieval (CBIR), focusing on developing a hidden semantic concept discovery methodology to address effective semanticsintensive image ret...
Ruofei Zhang, Zhongfei (Mark) Zhang
135
Voted
ETRA
2010
ACM
197views Biometrics» more  ETRA 2010»
15 years 10 months ago
Image ranking with implicit feedback from eye movements
In order to help users navigate an image search system, one could provide explicit information on a small set of images as to which of them are relevant or not to their task. Thes...
David R. Hardoon, Kitsuchart Pasupa
160
Voted
SAMT
2007
Springer
203views Multimedia» more  SAMT 2007»
15 years 9 months ago
A Generic Framework for Semantic Medical Image Retrieval
Performing simple keyword-based search has long been the only way to access information. But for a truly comprehensive search on multimedia data, this approach is no longer sucien...
Manuel Möller, Michael Sintek
169
Voted
SIBGRAPI
2003
IEEE
15 years 9 months ago
Effective Image Retrieval by Shape Saliences
Content-Based Image Retrieval (CBIR) systems have been developed aiming at enabling users to search and retrieve images based on their properties such as shape, color and texture....
Ricardo da Silva Torres, Eduardo M. Picado, Alexan...