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本文提出了一种新的基于对模型的分块直方图求交互信息量的镜头检测算法。算法中对每帧图象
进行分块求直方图, 然后利用相邻帧间对应分块的直方图统计值求交互信息量, 最后把所有分块的交互信息量进行
加权平均以检测镜头的变化。实验结果表明与传统的直方图相比, 该算法对一般场景的镜头变化有更高的查全率和
查准率。-This paper presents a new model based on the sub-block histogram information for cross-detection algorithm of the camera. Algorithm for each image fr a me block for histogram, and then fr a me the use of adjacent sub-block histogram corresponding statistics for the amount of information interaction, and finally all of the interactive block to the weighted average amount of information to detect changes in lens . The experimental results show that compared with the traditional histogram, the algorithm for general scenes of the lens changes in higher recall rate and precision.相关搜索： precision
recall
信息熵
镜头
进行分块求直方图, 然后利用相邻帧间对应分块的直方图统计值求交互信息量, 最后把所有分块的交互信息量进行
加权平均以检测镜头的变化。实验结果表明与传统的直方图相比, 该算法对一般场景的镜头变化有更高的查全率和
查准率。-This paper presents a new model based on the sub-block histogram information for cross-detection algorithm of the camera. Algorithm for each image fr a me block for histogram, and then fr a me the use of adjacent sub-block histogram corresponding statistics for the amount of information interaction, and finally all of the interactive block to the weighted average amount of information to detect changes in lens . The experimental results show that compared with the traditional histogram, the algorithm for general scenes of the lens changes in higher recall rate and precision.相关搜索： precision
recall
信息熵
镜头
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基于分块直方图和交互信息量的镜头检测算法.pdf