Latitude-Redundancy-Aware All-Zero Block Detection for Fast 360-Degree Video Coding

Chang Yu;Xiaopeng Fan;Pengjin Chen;Yuxin Ni;Hengyu Man;Debin Zhao
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Abstract

The sphere-to-plane projection of 360-degree video introduces substantial stretched redundant data, which is discarded when reprojected to the 3D sphere for display. Consequently, encoding and transmitting such redundant data is unnecessary. Highly redundant blocks can be referred to as all-zero blocks (AZBs). Detecting these AZBs in advance can reduce computational and transmission resource consumption. However, this cannot be achieved by existing AZB detection techniques due to the unawareness of the stretching redundancy. In this paper, we first derive a latitude-adaptive redundancy detection (LARD) approach to adaptively detect coefficients carrying redundancy in transformed blocks by modeling the dependency between valid frequency range and the stretching degree based on spectrum analysis. Utilizing LARD, a latitude-redundancy-aware AZB detection scheme tailored for fast 360-degree video coding (LRAS) is proposed to accelerate the encoding process. LRAS consists of three sequential stages: latitude-adaptive AZB (L-AZB) detection, latitude-adaptive genuine-AZB (LG-AZB) detection and latitude-adaptive pseudo-AZB (LP-AZB) detection. Specifically, L-AZB refers to the AZB introduced by projection. LARD is used to detect L-AZB directly. LG-AZB refers to the AZB after hard-decision quantization and zeroing redundant coefficients. A novel latitude-adaptive sum of absolute difference estimation model is built to derive the threshold for LG-AZB detection. LP-AZB refers to the AZB in terms of rate-distortion optimization considering redundancy. A latitude-adaptive rate-distortion model is established for LP-AZB detection. Experimental results show that LRAS can achieve an average total encoding time reduction of 25.85% and 20.38% under low-delay and random access configurations compared to the original HEVC encoder, with only 0.16% and 0.13% BDBR increases and 0.01dB BDPSNR loss, respectively. The transform and quantization time savings are 60.13% and 59.94% on average.
面向快速 360 度视频编码的纬度冗余感知全零块检测
360 度视频的球面到平面投影引入了大量拉伸冗余数据,这些数据在重新投影到三维球面进行显示时会被丢弃。因此,没有必要对这些冗余数据进行编码和传输。高度冗余的数据块可称为全零数据块(AZB)。提前检测这些 AZB 可以减少计算和传输资源的消耗。然而,现有的 AZB 检测技术无法做到这一点,因为它们无法感知拉伸冗余。在本文中,我们首先推导出一种纬度自适应冗余检测(LARD)方法,通过对有效频率范围和基于频谱分析的拉伸程度之间的依赖性建模,自适应地检测转换块中携带冗余的系数。利用 LARD,提出了一种为快速 360 度视频编码(LRAS)量身定制的纬度冗余感知 AZB 检测方案,以加快编码过程。LRAS 包括三个连续阶段:纬度自适应 AZB(L-AZB)检测、纬度自适应真 AZB(LG-AZB)检测和纬度自适应伪 AZB(LP-AZB)检测。具体来说,L-AZB 是指投影引入的 AZB。LARD 用于直接检测 L-AZB。LG-AZB 是指经过硬判定量化和冗余系数归零后的 AZB。建立了一个新颖的纬度自适应绝对差值之和估计模型,从而得出 LG-AZB 检测的阈值。LP-AZB 指的是考虑到冗余的速率失真优化的 AZB。为 LP-AZB 检测建立了纬度自适应速率失真模型。实验结果表明,与原始 HEVC 编码器相比,LRAS 在低延迟和随机存取配置下可实现平均总编码时间缩短 25.85% 和 20.38%,BDBR 分别仅增加 0.16% 和 0.13%,BDPSNR 损失 0.01dB。转换和量化时间平均节省 60.13% 和 59.94%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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