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» Shape Description for Content-Based Image Retrieval
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GECCO
2008
Springer
239views Optimization» more  GECCO 2008»
13 years 7 months ago
Multiobjective design of operators that detect points of interest in images
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton,...
MM
2006
ACM
155views Multimedia» more  MM 2006»
13 years 12 months ago
Robust voting algorithm based on labels of behavior for video copy detection
This paper presents an efficient approach for copies detection in a large videos archive consisting of several hundred of hours. The video content indexing method consists of ext...
Julien Law-To, Olivier Buisson, Valérie Gou...
ICIP
1998
IEEE
14 years 7 months ago
Invariant-based Data Model for Image Databases
We describe a new invariant-based data model for image databases under our approach for shape-based retrieval. The data model relies on contours description of the image shape, an...
Michael Kliot, Ehud Rivlin
SMI
2007
IEEE
192views Image Analysis» more  SMI 2007»
14 years 8 days ago
Multivariate Density-Based 3D Shape Descriptors
We address the 3D object retrieval problem using multivariate density-based shape descriptors. Considering the fusion of first and second order local surface information, we cons...
Ceyhun Burak Akgül, Bülent Sankur, Franc...
MIR
2005
ACM
137views Multimedia» more  MIR 2005»
13 years 11 months ago
A content-based image retrieval system for fish taxonomy
It is estimated that less than ten percent of the world’s species have been discovered and described. The main reason for the slow pace of new species description is that the sc...
Yixin Chen, Henry L. Bart Jr., Fei Teng