Bit Allocation Algorithm based on SSIM for 3D Video Coding

Abstract

The 3D video system has broad application prospects and has become a new research hotspot at home and abroad in the video field. However, there are still many problems in multi-view video coding rate control in a three-dimensional video system. Therefore, this paper proposes a rate allocation algorithm based on structural similarity index measurement (SSIM) for 3D video coding. In this paper, we first analyze the correspondence between the weights of inter-view rate and the correlation between viewpoints, and then we establish the multi-view video main view and non-main view bit allocation calculation model. Finally, the view layer, frame layer, and macro block layer respectively perform bit allocation and rate control. The experimental results show that the proposed method can effectively control the bit rate of multi-view video coding while maintaining the multi-view video coding quality under limited bandwidth compared with the existing view layer fixed ratio allocation rate.

CTU Layer Rate Control Algorithm in Scene Change Video for Free-Viewpoint Video

“…By studying the advantages and disadvantages of the classic rate control model for 2D video coding (mainly including the binomial R-D model and ρ model), the two aforementioned bit-rate control models were then improved to study the optimal model for MV-HEVC bit-rate control. Previous studies obtained an MVC bit-rate control algorithm based on the binomial R-D model [22] and [30], and the MV-HEVC bit-rate control algorithm is similar to MVC bit-rate control.…”

“…The purpose is to ensure a balance of video quality between viewpoints. Based on previous research [22] and [30], the proposed algorithm is further improved. The key steps of the algorithm are described as follows.…”

“…In equation (22), MAD CTU represents the predicted value of the MAD of the i-th CTU in the current basic unit layer and MAD unit represents the predicted MAD value of the current basic unit. QP CTU represents the quantization parameter of the i-th CTU in the current basic unit layer, and QP unit represents the quantitative parameters of the current basic unit.…”

“…However, this method does not utilize the inter-viewpoint correlation, and the code rate control accuracy is lower than the average bit rate error of 1.56%. Yan and Ra [22] proposed slightly allocation algorithm based on similarity analysis among viewpoints for 3D video coding. Vizzotto et al considered only two viewpoints in the rate control algorithm for stereo video coding [23].…”