Rate control algorithm for multiview video coding based on human visual characteristics

被引:0
|
作者
Yan T. [1 ]
Ra I.-H. [2 ]
Zhang Q. [3 ]
Wen H. [1 ]
Xu H. [1 ]
Chen S. [1 ]
机构
[1] School of Information Engineering, Putian University, Putian
[2] School of Computer Information and Communication Engineering, Kunsan National University, Gunsan
[3] School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou
基金
新加坡国家研究基金会; 中国国家自然科学基金;
关键词
Frame complexity; Human visual characteristics; MVC (multi-view video coding); Rate control;
D O I
10.23940/ijpe.18.08.p30.19131921
中图分类号
学科分类号
摘要
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%. © 2018 Totem Publisher, Inc. All rights reserved.
引用
收藏
页码:1913 / 1921
页数:8
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