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TKDE
2008
195views more  TKDE 2008»
15 years 6 months ago
Learning a Maximum Margin Subspace for Image Retrieval
One of the fundamental problems in Content-Based Image Retrieval (CBIR) has been the gap between low-level visual features and high-level semantic concepts. To narrow down this gap...
Xiaofei He, Deng Cai, Jiawei Han
CIVR
2010
Springer
199views Image Analysis» more  CIVR 2010»
15 years 11 months ago
Unsupervised multi-feature tag relevance learning for social image retrieval
Interpreting the relevance of a user-contributed tag with respect to the visual content of an image is an emerging problem in social image retrieval. In the literature this proble...
Xirong Li, Cees G. M. Snoek, Marcel Worring
NIPS
2007
15 years 7 months ago
Congruence between model and human attention reveals unique signatures of critical visual events
Current computational models of bottom-up and top-down components of attention are predictive of eye movements across a range of stimuli and of simple, fixed visual tasks (such a...
Robert J. Peters, Laurent Itti
HICSS
2003
IEEE
105views Biometrics» more  HICSS 2003»
15 years 11 months ago
Synthesizing Evocative Imagery through Design Patterns
Automatically creating images that give a sense of content can be useful in a number of settings. Such images can summarize a larger collection of media in novel ways, giving an e...
Daniel M. Russell, Andreas Dieberger
EMMCVPR
2005
Springer
15 years 12 months ago
Object Categorization by Compositional Graphical Models
This contribution proposes a compositionality architecture for visual object categorization, i.e., learning and recognizing multiple visual object classes in unsegmented, cluttered...
Björn Ommer, Joachim M. Buhmann