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Hybrid approach for video compression using block matching motion estimation

机译:使用块匹配运动估计的视频压缩混合方法

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Video is a collection chronological frame in a sequence. Video compression means reducing the size of video. To discard the redundancies present in video some video compression technique are involved. In video sequence there are two types of technique are present that are temporal redundancy and spatial redundancy. In this paper, we discuss about hybrid technique. Hybrid means combination of two technique i.e. efficient three step search algorithm (E3SS) and cross hexagonal search algorithm (CHS). There for E3SS used for core search and CHS is used for fine search so it occupies less disk space and file transferring is faster. In today's date block matching algorithm for motion estimation is powerful technique for high compression ratio and to reduce computational complexity. motion estimation calculate the position of pixel and it is a custom to calculate the pixel from current frame to reference frame. The main approach of motion estimation is reducing the search point and redundancy present in video. The experiment result shows that the proposal algorithm performs better than previous proposed block matching algorithms and required less computation.
机译:视频是序列中的收集时间顺序帧。视频压缩意味着减小视频的大小。为了丢弃视频中存在的冗余,涉及一些视频压缩技术。在视频序列中,存在两种类型的技术,它们是时间冗余和空间冗余。在本文中,我们讨论了混合技术。混合表示两种技术的组合,即有效的三步搜索算法(E3SS)和十字六边形搜索算法(CHS)。其中E3SS用于核心搜索,而CHS用于精细搜索,因此它占用更少的磁盘空间并且文件传输更快。在当今的日期块匹配算法中,运动估计是一种强大的技术,可实现高压缩比并降低计算复杂性。运动估计会计算像素的位置,习惯上是从当前帧到参考帧计算像素。运动估计的主要方法是减少视频中的搜索点和冗余。实验结果表明,该算法性能优于以前提出的块匹配算法,所需计算量更少。

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