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» Highly Discriminative Invariant FEatures for Image Matching
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NIPS
2007
13 years 10 months ago
The discriminant center-surround hypothesis for bottom-up saliency
The classical hypothesis, that bottom-up saliency is a center-surround process, is combined with a more recent hypothesis that all saliency decisions are optimal in a decision-the...
Dashan Gao, Vijay Mahadevan, Nuno Vasconcelos
ICIP
2003
IEEE
14 years 10 months ago
Kernel indexing for relevance feedback image retrieval
Relevance feedback is an attractive approach to developing flexible metrics for content-based retrieval in image and video databases. Large image databases require an index struct...
Jing Peng, Douglas R. Heisterkamp
ICPR
2006
IEEE
14 years 10 months ago
Camera Motion Quantification and Alignment
We propose a method to synchronize video sequences of distinct scenes captured by cameras undergoing similar motions. For the general camera motion and 3D scene, the camera ego-mo...
Hassan Foroosh, Jiangjian Xiao, Xiaochun Cao
PR
2007
84views more  PR 2007»
13 years 8 months ago
Attention-based similarity
A similarity measure is described that does not require the prior specification of features or the need for training sets of representative data. Instead large numbers of feature...
Fred Stentiford
MVA
2007
100views Computer Vision» more  MVA 2007»
13 years 10 months ago
Japanese Phone Recognition Using Lip Image Information
This paper describes Japanese phone recognition for lip reading based on a novel feature called trajectory feature to obtain high recognition rate. Trajectory feature is a time ch...
Takeshi Saitoh, Mitsugu Hisagi, Ryosuke Konishi