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

Volume 14, Number 8, August 2018, pp. 1913-1921
DOI: 10.23940/ijpe.18.08.p30.19131921

Tao Yana, In-Ho Rab, Qiuwen Zhangc, Hui Wena, Hang Xua, and Shuqing Chena

aSchool of Information Engineering, Putian University, Putian, 351100, China
bSchool of Computer Information and Communication Engineering, Kunsan National University, Gunsan, 54150, South Korea
cSchool of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450002, China

(Submitted on May 11, 2018; Revised on June 16, 2018; Accepted on July 17, 2018)

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%.

 

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