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Adaptive fast block-matching algorithm by switching search patterns for sequences with wide-range motion content

机译:通过切换具有宽范围运动内容的序列的搜索模式来自适应快速块匹配算法

摘要

[[abstract]]Content with rapid, moderate, and slow motion is frequently mixed together in real video sequences. Until now, no fast block-matching algorithm (FBMA), including the well-known three-step search (TSS), the block-based gradient descent search (BBGDS), and the diamond search (DS), can efficiently remove the temporal redundancy of sequences with wide range motion content. This paper proposes an adaptive FBMA, called A-TDB, to solve this problem. Based on the characteristics of a proposed predicted profit list, the A-TDB can adaptively switch search patterns among the TSS, DS, and BBGDS, according to the motion content. Experimental results reveal that the A-TDB successfully adopts the search patterns to remove the temporal redundancy of sequences with slow, moderate and rapid motion content.
机译:[[摘要]]具有快速,适度和慢动作的内容经常在真实视频序列中混合在一起。到目前为止,尚无有效的快速块匹配算法(FBMA)(包括著名的三步搜索(TSS),基于块的梯度下降搜索(BBGDS)和菱形搜索(DS))来有效地去除时间具有宽范围运动内容的序列的冗余。为了解决这个问题,本文提出了一种自适应的FBMA,称为A-TDB。基于提议的预测利润列表的特征,A-TDB可以根据运动内容在TSS,DS和BBGDS之间自适应地切换搜索模式。实验结果表明,A-TDB成功地采用了搜索模式来消除具有慢速,中速和快速运动内容的序列的时间冗余。

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