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122
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CVPR
2000
IEEE
16 years 8 months ago
Probabilistic vs. Geometric Similarity Measures for Image Retrieval
Selim Aksoy, Robert M. Haralick
161
Voted
ICMCS
1999
IEEE
139views Multimedia» more  ICMCS 1999»
15 years 10 months ago
Image Indexing and Retrieval Using Image-Derived, Geometrically and Illumination Invariant Features
In this paper, we propose novel image-derived features for image indexing and retrieval in digital library applications. The new features capture the intrinsic geometry and color ...
Ronald-Bryan O. Alferez, Yuan-Fang Wang
182
Voted
CVPR
2009
IEEE
17 years 1 months ago
A Similarity Measure Between Vector Sequences with Application to Handwritten Word Image Retrieval
This article proposes a novel similarity measure between vector sequences. Recently, a model-based approach was introduced to address this issue. It consists in modeling each se...
José A. Rodríguez-Serrano, Florent P...
169
Voted
CVPR
2009
IEEE
17 years 1 months ago
Geometric and Probabilistic Image Dissimilarity Measures for Common Field of View Detection
Detecting image pairs with a common field of view is an important prerequisite for many computer vision tasks. Typically, common local features are used as a criterion for ident...
Ferid Bajramovic, Joachim Denzler, Marcel Brü...
204
Voted
AIPR
2004
IEEE
15 years 10 months ago
An Image Retrieval System Using Multispectral Random Field Models, Color, and Geometric Features
This paper describes a novel color texture-based image retrieval system for the query of an image database to find similar images to a target image. The retrieval process involves...
Orlando J. Hernandez, Alireza Khotanzad