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首页> 外文期刊>Journal of circuits, systems and computers >AN EFFICIENT OVERLAPPING BLOCK SELECTION METHOD IN MULTI-FRAME SKIPPING TRANSCODING
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AN EFFICIENT OVERLAPPING BLOCK SELECTION METHOD IN MULTI-FRAME SKIPPING TRANSCODING

机译:多帧跳过转码的一种有效的重叠块选择方法

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摘要

This paper presents an overlapping block selection method to determine the dominant macroblock (MB) in multi-frame skipping transcoding to improve picture quality. A non-intra MB in a non-skipped frame should be predicted by a block in another non-skipped frame. The re-constructed motion vector (MV) between two non-skipped frames accumulates prediction error. As the number of frames between two non-skipped frames is increased, such prediction error, or called mismatch error, is also increased. To reduce the impact on the transcoding quality caused by the prediction error, we improve the traditional overlapping block selection method, and propose a most approximate overlapping block to help to determine a dominant MB. In the proposed method, the location of an overlapping block is calculated by adding the accumulated MVs and the position of the current MB. The accumulated MVs are not the real MVs for MBs but the approximate vectors for 16 × 16 overlapping blocks. Simulation shows that the proposed method has a higher performance than the traditional method.
机译:本文提出了一种重叠块选择方法,以确定多帧跳过转码中的主要宏块(MB),以提高图片质量。非跳过帧中的非帧内MB应该由另一个非跳过帧中的块预测。两个未跳过帧之间的重构运动矢量(MV)累积了预测误差。随着两个非跳过帧之间的帧数增加,这种预测误差或称为失配误差也增加。为了减少预测误差对代码转换质量的影响,我们改进了传统的重叠块选择方法,并提出了一种最近似的重叠块,以帮助确定优势MB。在提出的方法中,通过将累积的MV与当前MB的位置相加来计算重叠块的位置。累积的MV不是MB的实际MV,而是16×16重叠块的近似向量。仿真表明,该方法具有比传统方法更高的性能。

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