2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDCOM-1.10
Paper Title VIDEO MULTIMETHOD ASSESSMENT FUSION BASED RATE-DISTORTION OPTIMIZATION FOR VERSATILE VIDEO CODING
Authors Han Zhang, Shanghai Jiao Tong University, China; Jizheng Xu, Bytedance Inc., United States; Li Song, Shanghai Jiao Tong University, China
SessionCOM-1: Image and Video Coding
LocationArea H
Session Time:Tuesday, 21 September, 08:00 - 09:30
Presentation Time:Tuesday, 21 September, 08:00 - 09:30
Presentation Poster
Topic Image and Video Communications: Lossy coding of images & video
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract The emerging visual quality assessment metric VMAF that fuses several elementary metrics by SVM regression has shown a higher correlation with human perception. In this paper, we introduce VMAF into the traditional video coding task as the distortion metric, which needs to be optimized to explore the potential of perceptual quality improvement. Specifically, we propose a multi-granularity VMAF based rate-distortion optimization framework. A frame level visual quality adaption is first conducted by taking the quantization characteristics into account at the coarse-grained adjustment step. Within each frame, a CTU level Lagrangian multiplier and corresponding quantization parameter adaption are carried out based on the content of each CTU at the fine-grained adjustment step. The proposed method has been incorporated into the latest video coding standard – VVC. Experimental results show compared with the conventional rate-distortion optimization for SSE, the proposed method achieves an average 3.30% BD-rate reduction in VMAF.