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Slow motion replay detection of tennis video based on color auto-correlogram

机译:基于彩色自相关图的网球视频慢动作回放检测

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In this paper, an effective slow motion replay detection method for tennis videos which contains logo transition isproposed. This method is based on the theory of color auto-correlogram and achieved by fowllowing steps: First,detectthe candidate logo transition areas from the video frame sequence. Second, generate logo template. Then use colorauto-correlogram for similarity matching between video frames and logo template in the candidate logo transition areas. Finally, select logo frames according to the matching results and locate the borders of slow motion accurately by usingthe brightness change during logo transition process. Experiment shows that, unlike previous approaches, this methodhas a great improvement in border locating accuracy rate, and can be used for other sports videos which have logotransition, too. In addition, as the algorithm only calculate the contents in the central area of the video frames, speed of thealgorithm has been improved greatly.© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
机译:提出了一种有效的网球运动慢镜头重放检测方法,该方法包含徽标过渡。该方法基于彩色自相关图理论,并通过以下步骤实现:首先,从视频帧序列中检测候选徽标过渡区域。其次,生成徽标模板。然后使用colorauto-correlogram在候选徽标过渡区域中的视频帧和徽标模板之间进行相似性匹配。最后,根据匹配结果选择徽标帧,并利用徽标过渡过程中的亮度变化来准确定位慢动作的边界。实验表明,与以前的方法不同,该方法在边界定位的准确率上有很大的提高,也可以用于其他具有徽标转换的体育视频。另外,由于该算法仅计算视频帧中心区域的内容,因此算法的速度得到了极大的提高。©(2012)COPYRIGHT光电仪器工程师协会(SPIE)。摘要的下载仅允许个人使用。

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