Test Zonal Search Based on Region Label (TZSR) for Motion Estimation in HEVC

Iris Linck, A. T. Gómez, G. Alaghband
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引用次数: 2

Abstract

This paper presents a new complexity Reduction method for the diamond search pattern called TZSR based on region labels in HEVC/H.265 video coding. The solution introduces a new image region structure developed from a simplified version of the blob coloring algorithm (image labeling) to HEVC/H.265 video coding. Regions are either whole or part of image objects and normally span several coding tree blocks that are produced during HEVC encoding. Our method executes a complete Diamond Search (DS) for the first block of each region in order to identify the motion vector direction among eight different directions in DS. The motion estimation (ME) for the rest of the blocks in the region will perform a modified DS where only one direction point for various distances will be tested in order to reduce the code complexity. Experimental results demonstrate that the speedup achieved in our solution surpasses the time spent in our blob coloring algorithm. Furthermore, TZSR achieves an average speedup of 42.61% for low delay (LD) configuration and 52.13% for random access (RA) in the encoding time compared to the original ME algorithm in HEVC reference software (HM-16.7) with overall gains in PSNR (Peak Signal-to-Noise Ratio) and bit rate around 18.67% and 0.1 under LD and 28.37% and 0.74 under RA respectively.
基于区域标签(TZSR)的区域搜索在HEVC运动估计中的应用
提出了一种基于HEVC/H中区域标签的菱形搜索模式TZSR复杂度降低方法。265视频编码。该解决方案引入了一种新的图像区域结构,从blob着色算法(图像标记)的简化版本发展到HEVC/H。265视频编码。区域是图像对象的整体或部分,通常跨越HEVC编码过程中产生的几个编码树块。我们的方法对每个区域的第一个块执行完整的钻石搜索(DS),以便在DS的八个不同方向中识别运动矢量方向。对于区域内其余块的运动估计(ME)将执行修改后的DS,其中只测试不同距离的一个方向点,以降低代码复杂性。实验结果表明,我们的解决方案所获得的加速超过了我们的斑点着色算法所花费的时间。此外,与HEVC参考软件(HM-16.7)中的原始ME算法相比,在编码时间内,TZSR在低延迟(LD)配置下的平均加速率为42.61%,在随机访问(RA)配置下的平均加速率为52.13%,在LD和RA下的PSNR(峰值信噪比)和比特率分别在18.67%和0.1和28.37%和0.74左右。
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