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» The Meaning of an Image in Content-Based Image Retrieval
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126
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TKDE
2008
195views more  TKDE 2008»
15 years 10 days ago
Learning a Maximum Margin Subspace for Image Retrieval
One of the fundamental problems in Content-Based Image Retrieval (CBIR) has been the gap between low-level visual features and high-level semantic concepts. To narrow down this gap...
Xiaofei He, Deng Cai, Jiawei Han
ICIP
2005
IEEE
15 years 6 months ago
Using Tsallis entropy into a Bayesian network for CBIR
This paper presents a Bayesian Network model for ContentBased Image Retrieval (CBIR). In the explanation and test of this work, only two images features (semantic evidences) are i...
Paulo S. Rodrigues, Gilson A. Giraldi, Ade A. Arau...
113
Voted
BMVC
1998
15 years 1 months ago
A Comparative Study of Rotation Invariant Classification and Retrieval of Texture Images
This paper presents a detailed comparative study of 4 rotation invariant texture analysis methods. Human subjects are included as a benchmark for the computational methods. Experi...
Stephanie R. Fountain, Tieniu Tan, Keith D. Baker
MVA
2006
205views Computer Vision» more  MVA 2006»
15 years 12 days ago
Ontological inference for image and video analysis
Abstract This paper presents an approach to designing and implementing extensible computational models for perceiving systems based on a knowledge-driven joint inference approach. ...
Christopher Town
112
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DAGM
2007
Springer
15 years 4 months ago
Intrinsic Mean for Semi-metrical Shape Retrieval Via Graph Cuts
We address the problem of describing the mean object for a set of planar shapes in the case that the considered dissimilarity measures are semi-metrics, i.e. in the case that the t...
Frank R. Schmidt, Eno Töppe, Daniel Cremers, ...