Rate Control Algorithm for Multiview Video Coding based on Human Visual Characteristics

Abstract

In order to satisfy transmission and application, this paper illustrates the drawback of the current rate-distortion model and the characteristics of multi-view video coding (MVC). This paper proposes a bit allocation and rate control scheme for MVC based on frame complexity and human visual characteristics. Firstly, the proposed algorithm improves the quadratic rate-distortion (R-D) model. Then, the proposed algorithm reasonably allocates bit-rate among views based on frame complexity and human visual characteristics. This paper turns the bit allocation among views into a multi-objective optimization problem. Finally, this paper proposes a view layer and frame layer bit allocation algorithm for MVC according to frame complexity and the previously coded information. Simulation results show that the proposed algorithm can effectively control bit rate for MVC, where the average rate control error of our algorithm is 1.08%.

Bit Allocation Algorithm based on SSIM for 3D Video Coding

“…The above multi-view video coding rate control algorithm does not take into account the combination of human visual characteristics for rate control. Research on human visual characteristics shows that people pay more attention to some areas with large information in the scene and are sensitive to the distortion of these areas [16][17]. Therefore, an effective subjective video quality evaluation based on the perceived characteristics of HVS is established.…”