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Video shot boundary detection based on MB coding mode and SIFT features on H.264/AVC

机译:基于MB编码模式和H.264 / AVC上的SIFT功能的视频镜头边界检测

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To segment video shot quickly and efficiently, a video shot boundary detection algorithm which combine Macro Block (MB) coding mode with Scale Invariant Feature Transform(SIFT) feature point matching is proposed in this paper. Firstly, the MB coding mode is extracted from H.264/AVC bit stream to calculate the intra coding MB ratio of a frame, according to intra coding MB ratio, some frames are selected out as candidate shot boundary frame; Secondly, the matching ratio of SIFT feature point matching of two consecutive candidate frames is calculated to exclude non-shot boundary frame and retain shot boundary frame. The experimental results indicate that proposed algorithm performs well on both cut and gradual shot boundary detection.
机译:为了快速有效地分割视频镜头,提出了一种结合宏块(MB)编码模式和尺度不变特征变换(SIFT)特征点匹配的视频镜头边界检测算法。首先,从H.264 / AVC比特流中提取MB编码模式,计算出帧的帧内编码MB比,根据帧内编码MB比,选择一些帧作为候选镜头边界帧。其次,计算两个连续候选帧的SIFT特征点匹配的匹配率,以排除非镜头边界帧并保留镜头边界帧。实验结果表明,该算法在切镜头和渐变镜头边界检测上均表现良好。

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