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» Textural Features and Relevance Feedback for Image Retrieval
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CVPR
2000
IEEE
16 years 1 months ago
Integrating Color, Texture, and Geometry for Image Retrieval
This paper examines the problem of image retrieval from large, heterogeneous image databases. We present a technique that fulfills several needs identified by surveying recent res...
Nicholas R. Howe, Daniel P. Huttenlocher
ICIP
2002
IEEE
16 years 1 months ago
Color texture moments for content-based image retrieval
In this paper, we adopt local Fourier transform as a texture representation scheme and derive eight characteristic maps for describing different aspects of co-occurrence relations...
Hui Yu, Mingjing Li, HongJiang Zhang, Jufu Feng
COCOON
2005
Springer
15 years 5 months ago
A Quadratic Lower Bound for Rocchio's Similarity-Based Relevance Feedback Algorithm
Rocchio’s similarity-based relevance feedback algorithm, one of the most important query reformation methods in information retrieval, is essentially an adaptive supervised lear...
Zhixiang Chen, Bin Fu
ICPR
2008
IEEE
16 years 1 months ago
Illumination invariants based on Markov random fields
We propose textural features, which are invariant to illumination spectrum and extremely robust to illumination direction. They require only a single training image per texture an...
Pavel Vacha, Michal Haindl
CLEF
2006
Springer
15 years 3 months ago
Inter-media Pseudo-relevance Feedback Application to ImageCLEF 2006 Photo Retrieval
This paper shows how to use a text retrieval and an image retrieval engine in a cooperative way. The proposed Inter-Media PseudoRelevance Feedback approach shows how the image moda...
Nicolas Maillot, Jean-Pierre Chevallet, Joo-Hwee L...