Optimal Distortion Minimization for 360<sup>°</sup> Video Compression with VVC

Adhuran, Jayasingam; Kulupana, Gosala; Galkandage, Chathura; Fernando, Anil

doi:10.1109/icce46568.2020.9043034

Cited by 2 publications

(2 citation statements)

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“…Previously, JVET investigated the potential need and proposed the basic idea of compressed coding for 360°video [9], and Ye et al [10] summarized them. Recently, some new approaches have been proposed for 360°v ideo in various modules [11][12][13][14][15][16][17][18][19][20][21][22][23]. Xiu et al [11] proposed an extra coding tool specifically designed to optimize the compression efficiency.…”

Section: Introductionmentioning

confidence: 99%

“…Xiu et al [11] proposed an extra coding tool specifically designed to optimize the compression efficiency. In [12], a spherical adaptive objective function is proposed to reduce the redundant information. In intra and inter-prediction module [15][16][17][18], a new technique was proposed in [15], allowing inter-prediction directly achieve in 3D sphere space.…”

Section: Introductionmentioning

confidence: 99%

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An Optimized Rate Control Algorithm in Versatile Video Coding for 360$^\circ$ Videos

Zhao

Xiong

et al. 2022

IEEE Signal Process. Lett.

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Today, 360°video has become an integral part of people's lives. Despite the fact that the latest generation standard Versatile Video Coding (VVC) demonstrates a significant gain in encoding capacity over High Efficiency Video Coding (HEVC), it still has room for 360°video encoding improvements. To further enhance the applicability of 360°video coding, an optimized rate control (RC) algorithm in VVC for 360°video is proposed in this paper. We present an efficient extraction algorithm for obtaining the video's saliency feature. Furthermore, for the characteristics of 360°video, a partitioning algorithm is also proposed to divide a frame into demand and non-demand regions. Additionally, to achieve precise and rational RC, a Coding Tree Unit (CTU)-level bit allocation strategy is proposed based on the saliency feature for the above-mentioned regions. The experimental results show that the proposed RC algorithm can achieve 11.77 % bitrate savings and more accurate allocation compared with the default algorithm of VVC. Also, performance enhancement has been observed in comparison to the most advanced algorithm.

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