LCU-Level bit allocation for rate control in High Efficiency Video Coding
Heng Sun, Can Zhang, Shaoshuai Gao · 2014
This paper presents an adaptive bit allocation algorithm for rate control in High Efficiency Video Coding (HEVC). Video texture complexity reflects the substantial of video content and it is a valuable tool for bit prediction. We discover that, there is always a quasilinear relationship between the coding bit rate and the texture complexity at the LCU level. This linearity leads to a novel and unified rate model for different types of source data. Meanwhile, a simple but accurate model is proposed to estimate the texture complexity by considering the spatial-temporal correlations. Experiments have been carried out to compare the coding performance of our proposed algorithm with existing method. Results demonstrate that the proposed algorithm achieves better rate-distortion performance with a much lower and steadier buffer level.