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    王 贝 杨林军 路 红 薛向阳. 基于流形特征的镜头边界检测后处理算法[J]. 计算机研究与发展, 2006, 43(11): 1993-1998.
    引用本文: 王 贝 杨林军 路 红 薛向阳. 基于流形特征的镜头边界检测后处理算法[J]. 计算机研究与发展, 2006, 43(11): 1993-1998.
    Wang Bei, Yang Linjun, Lu Hong, and Xue Xiangyang. Post-Refinement of Shot Boundary Detection Based on Manifold Feature[J]. Journal of Computer Research and Development, 2006, 43(11): 1993-1998.
    Citation: Wang Bei, Yang Linjun, Lu Hong, and Xue Xiangyang. Post-Refinement of Shot Boundary Detection Based on Manifold Feature[J]. Journal of Computer Research and Development, 2006, 43(11): 1993-1998.

    基于流形特征的镜头边界检测后处理算法

    Post-Refinement of Shot Boundary Detection Based on Manifold Feature

    • 摘要: 镜头是视频分析和检索的基础,为了有效检测镜头边界,并对镜头边界进行分类,提出一种新的镜头边界描述子:镜头边界流形.视频流可以看做一个高维空间,镜头边界流形是隐含在该空间中的局部结构,它能够有效区分镜头边界和非镜头边界,以及区分不同类型的镜头边界.采用这种特征,提出一种后处理算法,一方面去除预检测镜头边界的虚警,另一方面将真正的镜头边界分类.实验结果证实了镜头边界流行的有效性以及后处理算法的优异性能.

       

      Abstract: Shot is the basic unit of video analysis and retrieval. In order to perform shot boundary detection effectively and to classify different types of shot boundaries, a new feature-shot boundary manifold is proposed. Shot boundary manifold can be regarded as low dimensional local structure embedded in the high dimensional video data. Using this feature, a new post-refinement algorithm is proposed to eliminate the false positives and classify different genuine shot boundaries into four types: cut, dissolve, wipe, and fade. Experimental results demonstrate the effectiveness of the new shot boundary descriptor, and the good performance of post-refinement on shot boundary detection, and the good result of shot boundary classification.

       

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