Paper
3 October 2022 Spatial scalability with VVC: coding performance and complexity
Gwenaelle Marquant, Charles Salmon-Legagneur, Fabrice Urban, Philippe de Lagrange
Author Affiliations +
Abstract
Version 1 of VVC specification was released in July 2020. VVC is the successor of HEVC, with 40 to 50% better compression. It inherently supports additional features such as sub-pictures and multi-layer coding: different profiles are specified, including multilayer profiles for 4:2:0 and 4:4:4 content. These profiles give access to spatial scalability using a single decoder instance. This paper reports evaluation tests of the VVC 4:2:0 multilayer profile, in a spatially scalable configuration with two layers and a spatial resolution ratio of 2x both vertically and horizontally. The tests were performed using various bitrate allocations between the base layer and the enhancement layer, and the best tradeoff leading to optimal enhancement layer compression performance was investigated. Both objective and subjective evaluations have been carried out and report that Scalable-VVC can be on par or outperform single-layer coding in specific conditions. The paper also addresses coding complexity and shows that customizing the encoding parameters can lead to large encoding time savings. Coding performance comparisons between dual layer solutions, here scalable VVC and LCEVC, are also provided.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gwenaelle Marquant, Charles Salmon-Legagneur, Fabrice Urban, and Philippe de Lagrange "Spatial scalability with VVC: coding performance and complexity", Proc. SPIE 12226, Applications of Digital Image Processing XLV, 1222603 (3 October 2022); https://doi.org/10.1117/12.2632821
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KEYWORDS
Electroluminescence

Computer programming

Video

Spatial resolution

Video compression

Quantization

Scalable video coding

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