视频编码中运动补偿的运动矢量搜索算法

2021 IEEE 8th International Conference on Problems of Infocommunications, Science and Technology (PIC S&T) Pub Date : 2021-10-05 DOI:10.1109/PICST54195.2021.9772109

Andriy Bondarchuk, O. Dibrivniy, Viktor Grebenyk, V. Onyshchenko

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引用次数: 0

摘要

结合模板比较估计块相似度、边缘选择算法和改进的块搜索方法，提出了两种版本的运动矢量查找广义方法TFEMVFAS(三帧边缘映射运动矢量场自适应搜索)。根据国际委员会MPEG对复杂视频工具评价的综合测试建议，以13个不同比特率的视频序列为例，对两种改进方法进行了测试。研究了图像分割块的大小对PSNR值和最大加速度的影响。

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Motion Vector Search Algorithm for Motion Compensation in Video Encoding

As a result of a combination of template comparison for estimating block similarity, edge selection algorithms and an improved block search method, two versions of a generalized method for finding motion vectors, called TFEMVFAS (Three by Frame Edge Map Motion Vector Field Adaptive Search), were proposed. Both modifications of the method were tested according to the comprehensive testing recommendations of the international commission MPEG for the evaluation of complex video tools, on the example of 13 video sequences, with different bitrates. The effect of increasing the size of the blocks on which the image is divided on the PSNR value and the maximum acceleration was also investigated.

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2021 IEEE 8th International Conference on Problems of Infocommunications, Science and Technology (PIC S&T)

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