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» Color and Texture Feature For Content Based Image Retrieval
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SAC
2002
ACM
13 years 10 months ago
Color patterns for pictorial content description
In this paper, we propose a new type of image feature, which consists of patterns of colors and intensities that capture the latent associations among images and primitive feature...
Daniela Stan, Ishwar K. Sethi
ICMCS
2000
IEEE
142views Multimedia» more  ICMCS 2000»
14 years 2 months ago
Incorporate Discriminant Analysis with EM Algorithm in Image Retrieval
One of the difficulties of Content-Based Image Retrieval (CBIR) is the gap between high-level concepts and low-level image features, e.g., color and texture. Relevance feedback wa...
Qi Tian, Ying Wu, Thomas S. Huang
ADBIS
2004
Springer
134views Database» more  ADBIS 2004»
14 years 3 months ago
Retrieval by Color Features in Image Databases
What is presented in this paper is our work in the area of image organization and retrieval in Image Databases using global color features and spatial color distribution of images....
Irena Valova, Boris Rachev
CLEF
2005
Springer
14 years 3 months ago
Content-Based Retrieval of Medical Images by Combining Global Features
A combination of several classifiers using global features for the content description of medical images is proposed. Beside well known texture histogram features, downscaled repr...
Mark Oliver Güld, Christian Thies, Benedikt F...
ICTAI
1999
IEEE
14 years 2 months ago
Spatial Color Histograms for Content-Based Image Retrieval
Color histogram is an important technique for color image database indexing and retrieving. In this paper, traditional color histogram is modified to capture spatial layout informa...
Aibing Rao, Rohini K. Srihari, Zhongfei Zhang