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

doi:10.23940/ijpe.18.08.p30.19131921

Abstract

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%.

Submitted on May 11, 2018; Revised on June 16, 2018; Accepted on July 17, 2018
References: 13

Tao Yan, In-Ho Ra, Qiuwen Zhang, Hui Wen, Hang Xu, and Shuqing Chen. Rate Control Algorithm for Multiview Video Coding based on Human Visual Characteristics [J]. Int J Performability Eng, 2018, 14(8): 1913-1921.

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References 0

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