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» Boosting Image Retrieval
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137
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IPMU
2010
Springer
15 years 1 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...
129
Voted
MM
2009
ACM
209views Multimedia» more  MM 2009»
15 years 10 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...
CVPR
2009
IEEE
1010views Computer Vision» more  CVPR 2009»
16 years 10 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), ...
ICCV
2007
IEEE
16 years 5 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...
118
Voted
MM
2003
ACM
113views Multimedia» more  MM 2003»
15 years 8 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