Int J Performability Eng ›› 2019, Vol. 15 ›› Issue (7): 1813-1821.doi: 10.23940/ijpe.19.07.p7.18131821

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Bit Allocation Algorithm based on SSIM for 3D Video Coding

Tao Yana,*, In-Ho Rab,*, Hui Wena, Hang Xua, and Linyun Huanga   

  1. a School of Information Engineering, Putian University, Putian, 351100, China
    b School of Computer, Information and Communication Engineering, Kunsan National University, Gunsan, 54150, South Korea
  • Submitted on ;
  • Contact: * E-mail address: yantaoshu@aliyun.com
  • About author:Tao Yan received his Ph.D. in communication and information systems from Shanghai University in 2010. He is an associate professor in the School of Information Engineering at Putian University. His major research interests include Multiview high efficiency video coding, rate control, and video codec optimization. He currently presides in the National Natural Science Foundation project (No. 61741111). In-Ho Ra received his Ph.D. in computer engineering from Chung-Ang University in 1995. He is a professor in the School of Computer, Information and Communication at Kusan National University. His major research interests include blockchain. He currently presides in the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2016R1A2B4013002)Hui Wen received his Ph.D. from the College of Information Engineering at Shenzhen University. His research interests include machine learning and neural networks. Hang Xu received his B.S. degree in software engineering and Ph.D. in computer science and technology from Xiamen University in 2012 and 2018, respectively. He is currently a lecturer in the School of Information Engineering at Putian University. His current research interests include evolutionary computation and the Internet of things. Dr. Xu has been a member of the IEEE Computational Intelligence Society since 2015, IEEE student member from 2015 to 2018, and IEEE member since 2018.Linyun Huang received her B.S degree from the Department of Electronics Science and Technology at MinJiang University in 2014 and her M.S. degree and Ph.D. from the Department of Biomedical and Electronic Engineering at Chonnam National University. She currently works at Putian University. Her research interests include nonlinear dynamics, chaos dynamics, robot control, and intelligent systems.
  • Supported by:
    This work was supported by the Natural Science Foundation of China (No. 61741111), the Program for New Century Excellent Talents in Fujian Province University, the Natural Science Foundation of Jiangxi (No. 20161BAB212031, 20181BAB202011), the Natural Science Foundation of Fujian (No. 2019J01060722), and the National Research Foundation of Korea (NRF) with funds from the South Korean government (MSIP) (No. 2016R1A2B4013002).

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.

Key words: 3D video coding, structural similarity index measurement, rate control, bit allocation