| 基于互信息量的关键帧全局优化提取方法 |
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| 引用本文： | 陈赞,杨卫英,张正军.基于互信息量的关键帧全局优化提取方法[J].电视技术,2011,35(7). |
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| 作者姓名： | 陈赞 杨卫英 张正军 |
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| 作者单位： | 上海大学影视艺术技术学院; |
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| 摘 要： | 关键帧提取技术是视频分析和检索的关键技术之一。提出一种基于互信息量的关键帧提取的新方法,把关键帧提取问题建模为一个多目标规划数学模型,可以同时解决提取关键帧的数量和位置两个主要问题。并且采用了图像信息熵和互信息量作为特征参数参与启发式算法的评价函数,可快速有效地进行子镜头的分割和关键帧的提取。实验证明该方法能较好地提取出视频序列的关键帧。
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| 关 键 词： | 关键帧提取 子镜头分割 互信息量 多目标规划 全局优化 |
Global Optimizational Approach of Key Frame Extraction Based on Mutual Information |
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| CHEN Zan,YANG Weiying,ZHANG Zhengjun.Global Optimizational Approach of Key Frame Extraction Based on Mutual Information[J].Tv Engineering,2011,35(7). |
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| Authors: | CHEN Zan YANG Weiying ZHANG Zhengjun |
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| Institution: | CHEN Zan,YANG Weiying,ZHANG Zhengjun (Department of Film and TV Art and Technology,Shanghai University,Shanghai 200072,China) |
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| Abstract: | Key frame extraction is one of important technology in video analysis and video retrieval. In this paper, a new approach of key frame extraction through multiple objectives programming based on mutual information is proposed. It resolves two key problems of number and position in key frame extraction. The image entropy and mutual information are used as parameters in evaluation function of heuristic algorithm, which can split sub-shot and extract key frame quickly and efficiently. Experimental results show ... |
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| Keywords: | key frame extraction sub-shot splitting mutual information multiple objectives programming global optimization |
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