Abstract
This paper introduces a method for quantization of image-sequences which takes into account the human sensitivities in both space and time. A weighted clustering approach is used for quantization which allows flexibility in the choice of weights. Assigning weights proportional to the space gradients and the time gradients is shown to produce better quantization of color image sequences.
Cite
CITATION STYLE
Hel-Or, H. Z. (1995). Time-space weighting for image sequence quantization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1024, pp. 389–396). Springer Verlag. https://doi.org/10.1007/3-540-60697-1_126
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