Novel rate-distortion modeling for H.264/AVC and its application in two-pass VBR coding

Abstract

In this paper, we first employ rate-distortion (R-D) modeling to derive the source model for H.264 video coding. This source model consists of the distortion-quantization (D-Q) model and distortion-rate (D-R) model, which describe the relationship between rate, distortion and quantization step for generalized Gaussian distribution (GGD) under the quantization scheme of H.264/AVC. The accuracy of the source model is confirmed by comparing the estimated results with the actual data of JM16.0. And the parameter selection criteria are developed to better employ the source model in our two-pass rate control algorithm for H.264 VBR coding. Based on the D-Q and D-R models, the proposed algorithm is of high stability, low complexity and is easy to implement. Extensive experiments covering different resolutions and target rates demonstrates: 1) about 96.7% reduction in PSNR variance compared to the method of JM16.0 with the average rate control error of 1.95%, and 2) significant improvement in smoothing the video quality compared with the latest two-pass rate control method.