CTU-Level Rate Control with λ Optimization Based on Visual Gaze Mechanism for 360-Degree Versatile Video Coding
Understanding the human visual gaze mechanism is crucial for enhancing 360° video coding technology. This paper presents a Coding Tree Unit (CTU)-level rate control scheme with λ optimization strategy for 360° Versatile Video Coding (VVC), with the aim of enhancing rate-distortion performance and bitrate accuracy. Specifically, the Lagrange parameter λ is optimized with consideration of distortion dependency and the identification of key CTUs guided by visual gaze, which are derived from a 360° video path generation network, thoroughly integrating the characteristics of the human visual gaze. Experimental results show that the proposed scheme achieves BD-rate savings in terms of Weighted to Spherically uniform-Peak Signal-to-Noise Ratio (WS-PSNR) and Sphere-Peak Signal-to-Noise Ratio (S-PSNR) across various coding configurations.
Authors
- Xiangjie Sui
- Xiaohai He (ORCID: https://orcid.org/0000-0001-8399-3172)
- Zeming Zhao
- Meng Wang (ORCID: https://orcid.org/0000-0002-3094-7735)
- Shiqi Wang (ORCID: https://orcid.org/0000-0001-6901-3166)
Institutions
- City University of Hong Kong (HK)
- Sichuan University (CN)
- City University of Macau (MO)
Publication Details
- Published
- 2025-08-18
- DOI
- https://doi.org/10.1109/icip55913.2025.11084566
- Primary Topic
- Image and Video Quality Assessment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Research and Development