论文信息 - Image sequence segmentation based on 2D temporal entropic thresholding

Image sequence segmentation based on 2D temporal entropic thresholding

This paper reports a novel technique for image sequence segmentation based on maximizing the 2D temporal entropy. The 2D temporal entropy is formed by the scatterplot of frame difference contrast and local variance contrast. Experimental results show that this segmentation-based coding scheme is more efficient than normal fixed-size coding algorithms.

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