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» Boosting Image Retrieval
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IPMU
2010
Springer
14 years 11 months ago
Retrieving Texture Images Using Coarseness Fuzzy Partitions
Abstract. In this paper, a Fuzzy Dominant Texture Descriptor is proposed for semantically describing an image. This fuzzy descriptor is defined over a set of fuzzy sets modelling ...
Jesús Chamorro-Martínez, Pedro Manue...
104
Voted
MM
2009
ACM
209views Multimedia» more  MM 2009»
15 years 7 months ago
Brain state decoding for rapid image retrieval
Human visual perception is able to recognize a wide range of targets under challenging conditions, but has limited throughput. Machine vision and automatic content analytics can p...
Jun Wang, Eric Pohlmeyer, Barbara Hanna, Yu-Gang J...
124
Voted
CVPR
2009
IEEE
1010views Computer Vision» more  CVPR 2009»
16 years 8 months ago
A Family of Contextual Measures of Similarity between Distributions with Application to Image Retrieval
During this talk, I will introduce a novel family of contextual measures of similarity between distributions: the similarity between two distributions q and p is measured in the co...
Florent Perronnin (Xerox Research Centre Europe), ...
119
Voted
ICCV
2007
IEEE
16 years 2 months ago
Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification
We address the problem of visual category recognition by learning an image-to-image distance function that attempts to satisfy the following property: the distance between images ...
Andrea Frome, Yoram Singer, Fei Sha, Jitendra Mali...
MM
2003
ACM
113views Multimedia» more  MM 2003»
15 years 6 months ago
R-Histogram: quantitative representation of spatial relations for similarity-based image retrieval
Representation of relative spatial relations between objects is required in many multimedia database applications. Quantitative representation of spatial relations taking into acc...
Yuhang Wang, Fillia Makedon