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» Shape measures for image retrieval
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ICIP
2002
IEEE
15 years 11 months ago
Optimal recursive similarity measure estimation for interactive content-based image retrieval
In this paper, a new recursive algorithm is proposed for optimal estimation of similarity measure used in a content-based retrieval system. This is performed through a relevance f...
Anastasios D. Doulamis, Nikolaos D. Doulamis
JVCIR
2008
137views more  JVCIR 2008»
14 years 9 months ago
A fast MPEG-7 dominant color extraction with new similarity measure for image retrieval
Dominant color descriptor (DCD) is one of the color descriptors proposed by MPEG-7 that has been extensively used for image retrieval. Among the color descriptors, DCD describes t...
Nai-Chung Yang, Wei-Han Chang, Chung Ming Kuo, Tsi...
CBMS
2009
IEEE
15 years 4 months ago
Comparative study of spine vertebra shape retrieval using learning-based feature selection
Feature extraction and selection are two important steps for shape retrieval. Given a data set, a set of features which describe the shape property from different aspects are extr...
Haiying Guan, Sameer Antani, L. Rodney Long, Georg...
101
Voted
CVPR
2009
IEEE
1010views Computer Vision» more  CVPR 2009»
16 years 4 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), ...
PAMI
2006
99views more  PAMI 2006»
14 years 9 months ago
A New Convexity Measure Based on a Probabilistic Interpretation of Images
In this article we present a novel convexity measure for object shape analysis. The proposed method is based on the idea of generating pairs of points from a set, and measuring th...
Esa Rahtu, Mikko Salo, Janne Heikkilä