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Video segmentation based on watershed algorithm and optical flow motion estimation

机译:基于分水岭算法和光流运动估计的视频分割

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Abstract: The video coding scheme defined by MPEG-4 standard offers several content-based functionalities, demanding the description of the scene in terms of so-called video- objects. The separate coding of the video objects may enrich the user interaction in several multimedia services due to flexible access to the bit-stream and an easy manipulation of the video information. In this framework, the coder may perform a locally defined pre-processing, aimed at the automatic identification of the objects appearing in the sequence. Hence, video segmentation is a key issue in efficiency applying the MPEG-4 coding scheme. This paper presents a segmentation algorithm based on watershed algorithm and optical flow motion estimation. Our simulation results show that this method is able to solve complex segmentation tasks according to luminance homogeneity and motion coherence criterion. !12
机译:摘要:MPEG-4标准定义的视频编码方案提供了几种基于内容的功能,要求在所谓的视频对象方面描述场景。由于灵活地访问比特流并且容易操纵视频信息,单独编码视频对象的单独编码可以丰富多媒体服务中的用户交互。在该框架中,编码器可以执行本地定义的预处理,旨在自动识别出现在序列中的对象。因此,视频分割是应用MPEG-4编码方案的效率的关键问题。本文提出了一种基于流域算法和光学流动运动估计的分割算法。我们的仿真结果表明,该方法能够根据亮度均匀性和运动相干标准来解决复杂的分割任务。 !12

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