Screen content video (SCV) distinguished from traditional natural video by its unique features, such as rich texture edges and flat areas. However, existing rate control algorithms are better fit for natural video than for SCV. A novel rate control (RC) algorithm for screen content coding (SCC) in Versatile Video Coding (VVC) is proposed in this paper. Specifically, spatial-temporal features at both CTU and frame levels of adjacent original and reconstructed frames are calculated based on 3D-LOG filter to guide bit allocation in CTU level. Considering the visual characteristics of human vision system, the rate distortion (R-D) model is redesigned. Extensive experimental results demonstrate the effectiveness of the proposed method, which improves the R-D performance and the accuracy of the bit-rate control.
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.
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