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Bounding Box and Frame Resizing for Moving Object of Interest

机译:边界框和框架调整感兴趣的移动对象的大小

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representative frame in GoF (Group of frames) of a video is formed by taking spatial and temporal gradients sequentially for image frames and by selecting the pixel of the largest spatial-temporal gradient (STG) for all co-located pixels in the GoF. As a result, the boundary of the moving object in the video is highlighted by the STG operation. Therefore, an optimal bounding box for a moving object can be determined by choosing the maximum spatial density of the STG for various sizes of the bounding box. The bounding box includes the boundary trace of the MOOI (moving object of interest) in the GoF and is used to differentiate the MOOI from the non-MOOI. That is, the pixels outside the bounding box are the non-MOOI and they are the main target for the size reduction of the video frames for a pre-processing of video compression.
机译:通过依次针对图像帧的空间和时间梯度来形成视频和时间梯度,并通过选择GOF中的所有共同位的像素的最大空间 - 时间梯度(STG)的像素来形成视频的代表性帧。结果,通过STG操作突出显示视频中的移动物体的边界。因此,可以通过为各种尺寸的边界框选择STG的最大空间密度来确定用于移动物体的最佳边界框。边界框包括在GOF中的Mooi(移动对象)的边界轨迹,用于区分来自非mooi的mooi。也就是说,边界框之外的像素是非mooi,并且它们是用于视频压缩预处理的视频帧的尺寸减小的主要目标。

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