In-loop perceptual model-based rate-distortion optimization for HEVC real-time encoder

Abstract

In this paper, a novel High Efficiency Video Coding (HEVC)-compliant perceptual rate-distortion optimization (RDO) scheme is proposed based on motion attention and visual distortion sensitivity models, which both fully utilize in-loop coding information of HEVC. In detail, the motion attention model is designed by using the motion vectors (MVs) estimated during the inter-prediction process. The MV field is refined based on maximum a posteriori (MAP) estimation to remove MV outliers and improve the model’s efficiency. In addition, the visual distortion sensitivity is modeled by using the spatiotemporal energy of AC coefficients, which are obtained from HEVC transform process. Then, these two models are incorporated together into the RDO process. As a result, the Lagrange multiplier and quantization parameter are adjusted adaptively in an analytical way. Since the two models are calculated within the HEVC coding loop, the complexity increase is limited. The experimental results indicate that the proposed perceptual RDO scheme can achieve significantly better rate-VQM performance than the conventional RDO scheme. Specifically, the BD-rate can reach a maximum 24.45% and an average 13.68% reduction in terms of the Bjontegaard Delta metric compared to HEVC practical encoder x265.