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RANDOMLY SUB-SAMPLED PARTITION VOTING(RSVP) ALGORITHM FOR SCENE CHANGE DETECTION
RANDOMLY SUB-SAMPLED PARTITION VOTING(RSVP) ALGORITHM FOR SCENE CHANGE DETECTION
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机译:场景更改检测的随机次采样分区投票(RSVP)算法
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摘要
A system and method for scene change detection in a video sequence employing a randomly sub-sampled partition voting (RSPV) algorithm is provided. In the video seqxience, a current frame is divided into a number of partitions. Each partition is randomly sub-sampled and a histogram of the pixel intensity values is built to determine whether the current partition differs from the corresponding partition in a reference frame. A bin-by-bin absolute histogram difference between a partition in the current frame and a co-located partition in the reference frame is calculated. The histogram difference is compared to an adaptive threshold. If the majority of the examined partitions has significant changes, a scene change is detected. The.RSPV algorithm is motion-independent and characterized by a significantly reduced cost of memory access and computations.
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