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Block Characteristic Based Moving Object Segmentation in the H.264 Compressed Domain

机译:H.264压缩域中基于块特征的运动对象分割

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An improved moving object segmentation approach which extracted motion field from H.264 compressed domain is proposed. Pre-treatments such as vector median filtering and forward block vector accumulation are used to obtain more obvious motion field. Then mix and hierarchical clustering algorithm based on improved k-means and EM is exploited to segment the moving on the macro-block level and on the block level. Experimental results demonstrate that this approach further improves the efficiency of the segmentation by hierarchical clustering. It provides satisfactory real-time segmentation results and good segmentation quality.
机译:提出了一种从H.264压缩域中提取运动场的改进的运动目标分割方法。诸如矢量中值滤波和前向块矢量累加之类的预处理用于获得更明显的运动场。然后利用基于改进的k均值和EM的混合层次聚类算法对宏块级和块级运动进行分割。实验结果表明,该方法通过层次聚类进一步提高了分割效率。它提供了令人满意的实时分割结果和良好的分割质量。

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