Paper
20 October 2023 Rate control for immersive video depth map coding
Author Affiliations +
Proceedings Volume 12916, Third International Conference on Signal Image Processing and Communication (ICSIPC 2023); 129160N (2023) https://doi.org/10.1117/12.3004727
Event: Third International Conference on Signal Image Processing and Communication (ICSIPC 2023), 2023, Kunming, China
Abstract
A novel rate control algorithm for immersive video depth map coding is proposed to ensure the immersive video quality in the context of limited bandwidth. The algorithm is developed based on the frame level approach for Versatile Video Coding (VVC) and is optimized using the open-source encoder implementation project, VVenC. Specifically, by considering the content characteristic of different videos, the rate-distortion (R-D) curve is refitted using hyperbolic model for the rate control parameters α and β. And the original α and β values of the depth map are modified to better guide the bit allocation. Experimental results indicate that the proposed rate control algorithm outperforms the VVenC 0.3.1.0 frame level rate control algorithm, achieving an average 4.2% BD-rate saving and 1.616dB gain under random access (RA) configuration, which is superior to existing rate control schemes for immersive video.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xueyuan Shen, Jing Chen, Wei Liu, and Tingkai Zhou "Rate control for immersive video depth map coding", Proc. SPIE 12916, Third International Conference on Signal Image Processing and Communication (ICSIPC 2023), 129160N (20 October 2023); https://doi.org/10.1117/12.3004727
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KEYWORDS
Video coding

Video

Depth maps

Performance modeling

Process control

Video processing

Distortion

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