基于改进RMD的虚拟现实360度视频快速帧内预测算法

Zhi Liu, Cai Xu, Mengmeng Zhang, Xiaohan Guan
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引用次数: 3

摘要

虚拟现实360度视频是球形视频。它允许观看者从任何角度自由选择视场,并且每个视场的视频分辨率必须足够高。在编码过程中,将球形视频投影到二维平面视频中,与传统视频相比,具有超高分辨率和更大的数据量。考虑到降低虚拟现实360度视频的高空间冗余度,降低帧内编码的计算复杂度,同时保证每个视场细节的完整性,提出了一种基于改进粗糙模式决策(RMD)的虚拟现实360度视频帧内快速预测算法。实验结果表明,该算法在All-Intra模式下可节省38.73%的时间,仅增加1.4%的Bjontegaard delta速率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast Intra Prediction Algorithm for Virtual Reality 360 Degree Video Based on Improved RMD
Virtual Reality 360 degree video is spherical video. It allows the viewer to freely choose the field of view from any angle, and the video resolution must be high enough for every field of view. During coding process, spherical video is projected into 2D plane video and it has ultra-high resolution and larger data compared to traditional video. Considering reducing the high spatial redundancy of virtual reality 360 degree video, and reducing the computational complexity of intra coding, while ensuring the integrity of the details of each field of view, a fast intra prediction algorithm for virtual reality 360 degree video based on improved Rough Mode Decision (RMD) is proposed. The experimental results show that the proposed algorithm brings 38.73% time saving with only 1.4% Bjontegaard delta rate increase in All-Intra mode.
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