International Journal of Computer Vision
Comparing images using color coherence vectors
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
An automatic hierarchical image classification scheme
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture Features and Learning Similarity
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Rotation-invariant texture classification using modified Gabor filters
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 1)-Volume 1 - Volume 1
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Effects of Different Gabor Filter Parameters on Image Retrieval by Texture
MMM '04 Proceedings of the 10th International Multimedia Modelling Conference
Categorizing traditional chinese painting images
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
Spatial color descriptor for image retrieval and video segmentation
IEEE Transactions on Multimedia
IEEE Transactions on Image Processing
Texture-based feature tracking for effective time-varying data visualization
IEEE Transactions on Visualization and Computer Graphics
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This paper presents an automatic statistical approach to categorize traditional Chinese painting (TCP) images according to subject matter into three major classes: figure paintings, landscapes, and flower-and-bird paintings. A simple statistical Gabor feature is presented to describe the local spatial configuration of the image, which is then integrated with color histogram that represents the global visual characteristic to build the feature subspace. A relative-distance based voting rule is proposed for final classification decision. The effectiveness of the proposed scheme is demonstrated by the comparable experimental results.