Mapped middle viewâ€™s inter-view prediction to multiview pre-diction in MVC
Keywords:3D Video, Coding Efficiency, Inter-View Redundancy, Inter-View Prediction, Multi-View Video Coding (MVC).
Based on the study of several methods involved in getting the benefit of extracting the inter-view redundancy, a new technique is suggested in this paper. The complexity of choosing the reference frames for different views is simplified. Starting with the camera placed in the center of the scene and predicting its frames from the left, right and the middle view, a map table is created per MB (Macro Block). This map table is simply extended to all the other views for respective inter-view prediction. This method of inter-view prediction applies the best for low to medium motion pictures. The complexity is way reduced as only one of the viewâ€™s prediction is derived and the same is comprehended to all other views. The method of a variable reference frame buffer where one frame from each of the buffers is stored also contributes to the reduction in complexity of the approach to inter-view prediction. Using the standard multi-view test sequences, few experimental results had proved that this approach can be opted for low motion sequences with a lesser complexity and improved compression with a coding gain of ~30%. The quality loss in PSNR (Peak Signal-to-Noise Ratio) is negligible with a loss of 0.2dB.
 T. Wiegand, G. J. Sullivan, G. BjÃ¸ntegaard, and A. Luthra,â€œOverview of the H.264/AVC video coding standard,â€ IEEE Transactions on Circuits and Systems for Video Technology, vol.13, no. 7, pp. 560â€“576, 2003. https://doi.org/10.1109/TCSVT.2003.815165.
 Yo-Sung Ho and Kwan-Jung Oh, â€œOverview of Multi-view Video Coding,â€ IWSSIP & EC-SIPMCS, 2007.
 G.Tech, Y.Chen, K. MÃ¼ller, J.R.Ohm, A.Vetro and Y.K.Wang,â€œOverview of the Multiview and 3D Extensions of High Efficiency Video Coding,â€ IEEE Transactions on Circuits and Systems for Video Technology, vol.26, no. 1, pp. 35â€“49, 2016. https://doi.org/10.1109/TCSVT.2015.2477935.
 P. Merkle, A. SmolicÂ´, K. MÃ¼ller, and T. Wiegand, â€œEfficient Prediction Structures for Multiview Video Coding,â€ IEEE Tr. On CSVT, vol. 17, No. 11, pp 1461-1473, 2007. https://doi.org/10.1109/TCSVT.2007.903665.
 ZhengZHU, Dong-xiao LI, and Ming ZHANG1, â€œOptimizing inter-view prediction structures for multi-view video coding using simulated annealing,â€ Journal of Zhejiang University, 2011. https://doi.org/10.1631/jzus.C1000016.
 K. MÃ¼ller, H. Schwarz, D. Marpe, C. Bartnik, S. Bosse, H. Brust, T. Hinz, H. Lakshman, P. Merkle, F. Hunn Rhee, G. Tech, M. Winken, and T. Wiegand, â€œ3D High-Efficiency Video Coding for Multi-View Video and Depth Dataâ€ IEEE transactions on Image Processing, vol. 22, no. 9. 2013. https://doi.org/10.1109/TIP.2013.2264820.
 Sen Wang, Yingyun Yang, and Huabing Wang, â€œMulti-view Video Coding Based on fast inter mode selection,â€ ICMT 2013 https://doi.org/10.2991/icmt-13.2013.22.
 Zongju Peng, Gangyi Jiang, Mei Yu, and Qionghai Dai, â€œFast Macroblock Mode Selection Algorithm for Multiview Video Coding,â€ EURASIP J. Image and Video Processing, vol. 2008, 393727. https://doi.org/10.1155/2008/393727.
 Li-Fu Ding, Pei-Kuei Tsung, Shao-Yi Chien, Wei-Yin Chen, and Liang-Gee Chen, â€œContent-Aware Prediction Algorithm with Inter-View Mode Decision for Multiview Video Coding,â€ IEEE Tr. On Multimedia, vol. 10, no. 8, 2008. https://doi.org/10.1109/TMM.2008.2007314.
 Xun Guo, Yan Lu, Feng Wu, and Wen Gao, â€œInter-View Direct Mode for Multiview Video Coding,â€ IEEE Tr. On CSVT, vol. 16, No. 12, pp 1527-1532, 2006. https://doi.org/10.1109/TCSVT.2006.885724.
 Yuehou Si, Mei Yu, Zongju Peng, and Gangyi Jiang, â€œA Fast Multi-Reference Frame Selection Algorithm for Multiview Video Coding,â€ Journal of Multimedia, vol. 5, no. 4, 2010. https://doi.org/10.4304/jmm.5.4.369-376.
 Joint Video Team (JVT) of ISO/IEC MPEG & ITU-T VCEG (ISO/IEC JTC1/SC29/WG11 and ITU-T SG16 Q.6) 20th Meeting: Klagenfurt, Austria, 15â€“21 July 2006. Document: JVT-T207, Filename: JVT-T207.doc.