Color Image Quantization By Agglomerative Clustering
IEEE Computer Graphics and Applications
Adaptive colormap selection algorithm for motion sequences
MULTIMEDIA '94 Proceedings of the second ACM international conference on Multimedia
Multispectral Image Processing and Pattern Recognition
Multispectral Image Processing and Pattern Recognition
Dynamic Color Quantization of Video Sequences
IEEE Transactions on Visualization and Computer Graphics
Color image quantization for frame buffer display
SIGGRAPH '82 Proceedings of the 9th annual conference on Computer graphics and interactive techniques
Contextual Color Quantization Algorithm
ICIAP '01 Proceedings of the 11th International Conference on Image Analysis and Processing
Sequential scalar quantization of vectors: an analysis
IEEE Transactions on Image Processing
Fuzzy color histogram-based video segmentation
Computer Vision and Image Understanding
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It is both impractical and unnecessary to use true color, i.e., 24-bit colors, for most multimedia processing tasks since the computational complexity is extremely high and adjacent colors in the color model do not contribute much to visual and computational differences. Color quantization can reduce these complexities by using less number of bits to represent the 24-bit true color space. In this paper, we investigate the fuzzy color quantization technique based on the fact that the colors located nearby should not be quantized very differently. We introduce this technique to color histogram construction and show that it achieves better performance than uniform color quantization in video scene change detection using different types of movies.