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» Combining Textual and Visual Features for Image Retrieval
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WWW
2011
ACM
14 years 4 months ago
Learning to re-rank: query-dependent image re-ranking using click data
Our objective is to improve the performance of keyword based image search engines by re-ranking their baseline results. To this end, we address three limitations of existing searc...
Vidit Jain, Manik Varma
102
Voted
ICPR
2008
IEEE
15 years 4 months ago
Combined visual attention model for video sequences
The paper presents a model of visual attention combined with eye tracking to drive content-based retrieval of image data in order to facilitate understanding and development of ne...
Mariofanna G. Milanova, Stuart Harvey Rubin, Roume...
CVPR
2010
IEEE
15 years 5 months ago
Scalable Face Image Retrieval with Identity-Based Quantization and Multi-Reference Re-ranking
State-of-the-art image retrieval systems achieve scalability by using bag-of-words representation and textual retrieval methods, but their performance degrades quickly in the face...
Zhong Wu, Qifa Ke, Jian Sun, Heung-Yeung Shum
MEDINFO
2007
266views Healthcare» more  MEDINFO 2007»
14 years 11 months ago
Automatic Image Modality Based Classification and Annotation to Improve Medical Image Retrieval
Medical image retrieval can play an important role for diagnostic and teaching purposes in medicine. Image modality is an important visual characteristic that can be used to impro...
Jayashree Kalpathy-Cramer, William R. Hersh
ICMCS
2006
IEEE
161views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Improved Similarity-Based Online Feature Selection in Region-Based Image Retrieval
To bridge the gap between high level semantic concepts and low level visual features in content-based image retrieval (CBIR), online feature selection is really required. An effec...
Fei Li, Qionghai Dai, Wenli Xu