Abstract
The latest video coding standard, versatile video coding (VVC), has greatly improved coding efficiency over its predecessor standard high efficiency video coding (HEVC), but at the expense of sharply increased complexity. In the context of perceptual video coding (PVC), the visual saliency model that utilizes the characteristics of the human visual system to improve coding efficiency has become a reliable method due to advances in computer performance and visual algorithms. In this paper, a novel VVC optimization scheme compliant PVC framework is proposed, which consists of fast coding unit (CU) partition algorithm and quantization control algorithm. Firstly, based on the visual saliency model, we proposed a fast CU division scheme, including the redetermination of the CU division depth by calculating Scharr operator and variance, as well as the executive decision for intra sub-partitions (ISP), to reduce the coding complexity. Secondly, a quantization control algorithm is proposed by adjusting the quantization parameter based on multi-level classification of saliency values at the CU level to reduce the bitrate. In comparison with the reference model, experimental results indicate that the proposed method can reduce about 47.19% computational complexity and achieve a bitrate saving of 3.68% on average. Meanwhile, the proposed algorithm has reasonable peak signal-to-noise ratio losses and nearly the same subjective perceptual quality.
Funder
National Natural Science Foundation of China
Reference41 articles.
1. Versatile Video Coding (Draft 5). Document: JVET-N1001-v10 Geneva, 19–27 March 2019https://jvet-experts.org/
2. Simplification on Cross-Component Linear Model in Versatile Video Coding
3. Algorithm description for Versatile Video Coding and Test Model 12 (VTM 12). Document: JVET-U2002-v1 Brussels, 6–15 January 2021https://jvet-experts.org/
4. Algorithm Description for Versatile Video Coding and Test Model 1 (VTM 1). Document JVET-Jl002-v2 San Diego, US, 10–20 April 2018https://jvet-experts.org/
5. HEVC-Based Perceptually Adaptive Video Coding Using a DCT-Based Local Distortion Detection Probability Model
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