视频运动估计的快速预测搜索算法

Lei-Chun Chou, ChengJing Ye, Yuan-Chen Liu, Bin-Cheng Jhao
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引用次数: 5

摘要

本文提出了两种用于运动估计的快速预测搜索算法(FPSA)和快速预测搜索算法-早期终止(FPSA- et)。这些算法是通过BMA与薄膜之间的时空相关性和运动矢量的预测来进行的。视频编码通常遵循从上到下和从左到右的顺序,这导致相邻块之间的空间相关性,特别是对于左边和上面的块。图像中物体的运动将遵循恒定的轨迹,因此块之间存在时间相关性。根据本文的实验数据,本文提出的算法比传统算法快20%~25%,比UMHexagonS快20倍左右。在0.22 ~0.32dM范围内,所提算法的PSNR值均高于常规算法。因此,所提出的算法更适合于实时视频或高质量视频,或具有大量运动的视频。
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Fast Predictive Search Algorithm for Video Motion Estimation
In this paper, two faster algorithms - fast predictive search algorithm (FPSA) and fast predictive search algorithm-early termination (FPSA-ET), used in motion estimation were proposed. These algorithms are proceeded by the temporal and spatial correlation between BMA and the film and by the prediction of motor vectors. The video coding is generally following the order from top to down and left to right and it causes the spatial correlation between the adjacent blocks, especially for those blocks on the left and up sides. The motion of the object in the image would follow the constant trace, so there would be temporal correlation between the blocks. Based on the experimental data of this paper, the proposed algorithms are faster than the conventional one for about 20%~25% and faster than UMHexagonS for about 20 times. The PSNR value of the proposed algorithms are higher than the conventional one for 0.22dM~0.32dM. Therefore the proposed algorithms are more appropriate for the real-time or high quality video or for video with large amounts of motion.
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