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Detection of motion activity saliency in a video sequence
Detection of motion activity saliency in a video sequence
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机译:视频序列中运动活动显着性的检测
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摘要
A streaming video or a stored video is analyzed to identify salient features. The salient features are the more interesting portions of the video because salient features include the most motion. A motion vector field including a motion vector for multiple pixels in the video is generated. The motion vector field is partitioned into grid blocks, and each of the grid blocks is divided into a set of orientation ranges. The vectors of the motion vector field for each grid block are binned into the orientation ranges. A motion score is calculated based on a count of motion vectors for the orientation ranges. The section of the video having higher or the highest motion score is designated as a salient feature. Among other applications, salient features may be used for thumbnail images, highlight reels, or video editing.
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