Username   Password       Forgot your password?  Forgot your username? 


Low Complexity Texture Video Coding for Multi-View Video System Reliability

Volume 14, Number 8, August 2018, pp. 1842-1847
DOI: 10.23940/ijpe.18.08.p21.18421847

Shuru Liu, Shuaichao Wei, and Qiuwen Zhang

College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450002, China

(Submitted on May 20, 2018; Revised on June 19, 2018; Accepted on July 26, 2018)


3D extension of high efficiency video coding (3D-HEVC) has become a video compression international standard for multi-view video system applications. The mode prediction process must search for optimal prediction modes and depth levels with a minimum rate-distortion cost for the coding unit (CU). New coding techniques with improved texture video coding efficiency have been introduced; however, they also increase computational burden, which obstructs 3D-HEVC encoder reliability applications. Therefore, the development of a novel texture video coding is necessary to reduce 3D-HEVC computational complexity. In this paper, the proposed algorithm will exploit an adjusted method of DE and ME based on motion homogeneity of texture videos. The algorithm includes early SKIP/Merge mode decision and adaptive motion search range adjustment. As shown by the simulation results, the proposed fast texture video coding method can reduce computational complexity by approximately 56.6% on average while resulting in a tiny loss of quality.


References: 11

              1. H. Urey, K. V. Chellappan, E. Erden, and P. Surman, “State of the Art in Stereoscopic and Autostereoscopic Displays,” Proceedings of the IEEE, Vol. 99, No. 4,pp. 540-555, 2011
              2. Y. Chen and A. Vetro, “Next-Generation 3D Formats with Depth Map Support,” IEEE MultiMedia, Vol. 21, No.2, pp. 90-94, 2017
              3. G. J. Sullivan, J. M. Boyce, C. Ying, J. -R. Ohm, C. A. Segall, and A. Vetro, “Standardized Extensions of High Efficiency Video Coding (HEVC),” Journal of Selected Topics in Signal Processing, Vol. 7, No. 6, pp. 1001-1016, 2013.
              4. L. Shen, Z. Zhang, and P. An, “Fast CU Size Decision and Mode Decision Algorithm for HEVC Intra Coding,” IEEE Transactions on Consumer Electronics, Vol. 59, No. 1, pp. 207-213, 2013
              5. C. Zhou, F. Zhou, and Y. Chen, “Spatio-Temporal Correlation-based Fast Coding Unit Depth Decision for High Efficiency Video Coding,” Journal of Electronic Imaging, Vol. 22, No. 4, pp. 043001, 2013
              6. T. Zhao, Z. Wang, and S. Kwong, “Flexible Mode Selection and Complexity Allocation in High Efficiency Video Coding,” Journal of Selected Topics in Signal Processing, Vol. 7, No. 6, pp. 1135-1144, 2013
              7. K. Lee, H. Lee, J. Kim, and Y. Choi, “A Novel Algorithm for Zero Block Detection in High Efficiency Video Coding,” Journal of Selected Topics in Signal Processing, Vol. 7, No. 6, pp. 1124-1134, 2013
              8. J. Xiong, H. Li, Q. Wu, and F. Meng, “A Fast HEVC Inter CU Selection Method based on Pyramid Motion Divergence,” IEEE Transactions on Multimedia, Vol. 16, No. 2, pp. 559-564, 2014
              9. Q. Zhang, J. Zhao, X. Huang, and Y. Gan, “A Fast and Efficient Coding Unit Size Decision Algorithm based on Temporal and Spatial Correlation,” Optik-International Journal for Light and Electron Optics, Vol. 126, No. 21, pp. 2793-2798, 2015
              10. H. R. Tohidypour, M. T. Pourazad, and P. Nasiopoulos, “Online-Learning-based Complexity Reduction Scheme for 3D-HEVC,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 26 , No. 10, pp. 1870-1883, 2016
              11. N. Zhang, D. Zhao, Y. Chen, J. Lin, and W. Gao, “Fast Encoder Decision for Texture Coding in 3D-HEVC,” Signal Processing: Image Communication, Vol. 29, No. 9, pp. 951-961, 2014


                          Please note : You will need Adobe Acrobat viewer to view the full articles.Get Free Adobe Reader

                          This site uses encryption for transmitting your passwords.