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MMS
2006
13 years 7 months ago
Collaborative image retrieval via regularized metric learning
In content-based image retrieval (CBIR), relevant images are identified based on their similarities to query images. Most CBIR algorithms are hindered by the semantic gap between ...
Luo Si, Rong Jin, Steven C. H. Hoi, Michael R. Lyu
SIGIR
2008
ACM
13 years 7 months ago
Learning to reduce the semantic gap in web image retrieval and annotation
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
Changhu Wang, Lei Zhang 0001, Hong-Jiang Zhang
ICDE
2000
IEEE
161views Database» more  ICDE 2000»
13 years 11 months ago
Efficient Query Refinement in Multimedia Databases
Increasing application demands are pushing database management systems (DBMSs) towards providing adequate and efficient support for content-based retrieval over multimedia objects...
Kaushik Chakrabarti, Kriengkrai Porkaew, Sharad Me...
AIRS
2006
Springer
13 years 11 months ago
A Semantic Fusion Approach Between Medical Images and Reports Using UMLS
One of the main challenges in content-based image retrieval still remains to bridge the gap between low-level features and semantic information. In this paper, we present our first...
Daniel Racoceanu, Caroline Lacoste, Roxana Teodore...
CVPR
2007
IEEE
14 years 1 months ago
Content-Based Image Annotation Refinement
Automatic image annotation has been an active research topic due to its great importance in image retrieval and management. However, results of the state-of-the-art image annotati...
Changhu Wang, Feng Jing, Lei Zhang, Hong-Jiang Zha...