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» Boosting Image Retrieval
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ICIP
2004
IEEE
16 years 2 months ago
Image retrieval based on projective invariance
In this paper we propose an image retrieval scheme based on projectively invariant features. Since cross-ratio is the fundamental invariant feature under projective transformation...
S. Rajashekhar, Subhasis Chaudhuri, Vinay P. Nambo...
118
Voted
ICPR
2004
IEEE
16 years 1 months ago
Spin Images for Retrieval of 3D Objects by Local and Global Similarity
The ever increasing availability of 3D models demands for tools supporting their effective and efficient management. Among these tools, those enabling content-based retrieval play...
Alberto Del Bimbo, Jürgen Assfalg, Pietro Pal...
101
Voted
CLEF
2006
Springer
15 years 4 months ago
Overview of the ImageCLEF 2006 Photographic Retrieval and Object Annotation Tasks
This paper describes the general photographic retrieval and object annotation tasks of the ImageCLEF 2006 evaluation campaign. These tasks provide both the resources and the frame...
Paul Clough, Michael Grubinger, Thomas Deselaers, ...
97
Voted
MCS
2002
Springer
15 years 10 days ago
On Combining One-Class Classifiers for Image Database Retrieval
Abstract. In image retrieval systems, images can be represented by single feature vectors or by clouds of points. A cloud of points offers a more flexible description but suffers f...
Carmen Lai, David M. J. Tax, Robert P. W. Duin, El...
SIGMOD
2003
ACM
237views Database» more  SIGMOD 2003»
16 years 25 days ago
Qcluster: Relevance Feedback Using Adaptive Clustering for Content-Based Image Retrieval
The learning-enhanced relevance feedback has been one of the most active research areas in content-based image retrieval in recent years. However, few methods using the relevance ...
Deok-Hwan Kim, Chin-Wan Chung