Abstract
This chapter provides background about Three-Dimensional High Efficiency Video Coding (3D-HEVC) depth map encoding. Initially, the 3D-HEVC encoding structure is defined, relating its frame to a quadtree-like structure. The algorithms used in the intra-frame prediction of depth maps are described in detail, allowing a comparative understanding regarding the predictability of texture coding. Next, inter-frame and inter-view prediction algorithms are presented, followed by the description of standard tools used in the intra-frame, inter-frame, and inter-view predictions. This chapter finishes by describing the Common Test Conditions (CTC), which must be followed to generate results comparable to other related works.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Saldanha, M., G. Sanchez, C. Marcon, and L. Agostini. 2019. Fast 3D-HEVC depth maps encoding using machine learning. IEEE Transactions on Circuits and Systems for Video Technology 1–1: 12.
Marpe, D., H. Schwarz, S. Bosse, B. Bross, P. Helle, T. Hinz, H. Kirchhoffer, H. Lakshman, T. Nguyen, S. Oudin, et al. 2010. Video compression using nested quadtree structures, leaf merging, and improved techniques for motion representation and entropy coding. IEEE Transactions on Circuits and Systems for Video Technology 20–12: 1676–1687.
Sullivan, G.J., J.-R. Ohm, W.-J. Han, T. Wiegand, et al. 2012. Overview of the high efficiency video coding (HEVC) standard. IEEE Transactions on circuits and systems for video technology 22 (12): 1649–1668.
ITU-T VCEG and ISO/IEC MPEG. 2017. 3D-HEVC Test Model. Source: https://hevc.hhi.fraunhofer.de/svn/svn_3DVCSoftware/tags/HTM-16.0/, Sep 2017.
Merkle, P., K. Müller, D. Marpe, and T. Wiegand. 2016. Depth intra coding for 3D video based on geometric primitives. IEEE Transactions on Circuits and Systems for Video Technology 26–3: 570–582.
Lee, J., M. Park, and C. Kim. 2015. 3d-ce1: depth intra skip (dis) mode, Technical Report, ISO/IEC JTC1/SC29/WG11, 5.
Liu, H., and Y. Chen. 2014. Generic segment-wise DC for 3D-HEVC depth intra coding. IEEE International Conference on Image Processing: 3219–3222.
Lainema, J., F. Bossen, W.-J. Han, J. Min, and K. Ugur. 2012. Intra coding of the HEVC standard. IEEE Transactions on Circuits and Systems for Video Technology 22 (12): 1792–1801.
Zhao, L., L. Zhang, S. Ma, and D. Zhao. 2011. Fast mode decision algorithm for intra prediction in HEVC. IEEE Visual Communications and Image Processing: 1–4.
Tech, G., H. Schwarz, K. Müller, and T. Wiegand. 2012. 3D video coding using the synthesized view distortion change. Picture Coding Symposium: 25–28.
Müller, K., H. Schwarz, D. Marpe, C. Bartnik, S. Bosse, H. Brust, T. Hinz, H. Lakshman, P. Merkle, F.H. Rhee, et al. 2013. 3D high-efficiency video coding for multi-view vídeo and depth data. IEEE Transactions on Image Processing 22 (9): 3366–3378.
Cheng, Y.-S., Z.-Y. Chen, and P.-C. Chang. 2009. An H.264 spatio-temporal hierarchical fast motion estimation algorithm for high-definition video. IEEE International Symposium on Circuits and Systems: 880–883.
Tang, X.-l., S.-K. Dai, and C.-H. Cai. 2010. An analysis of TZSearch algorithm in JMVC. International Conference on Green Circuits and Systems: 516–520.
Winken, M., P. Helle, D. Marpe, H. Schwarz, and T. Wiegand. 2011. Transform coding in the HEVC test model. IEEE International Conference on Image Processing: 3693–3696.
Budagavi, M., A. Fuldseth, and G. Bjontegaard. 2014. High efficiency video coding (HEVC): Algorithms and architectures. Vol. 6, 141–169. Cambridge: Springer.
Marpe, D., H. Schwarz, and T. Wiegand. 2003. Context-based adaptive binary arithmetic coding in the H. 264/AVC video compression standard. IEEE Transactions on circuits and systems for video technology 13–7: 620–636.
Müller. K, and A. Vetro. 2014. Common test conditions of 3DV Core experiments, Technical Report, ISO/IEC JTC1/SC29/WG11, 7p.
Tanimoto Lab NICT. 2017. National Institute of Information and Communication Technology. Source: http://www.tanimoto.nuee.nagoya-u.ac.jp/, Sep 2017.
Ho, Y.-S., E.-K. Lee, C. Lee. 2008. M15419, multiview video test sequence and camera parameters, Technical Report, ISO/IEC JTC1/SC29/WG11, 6p.
Zhang, J.; Li, R.; Li, H.; Rusanovskyy, D.; Hannuksela, M. M.. 2011. Ghost Town Fly 3DV sequence for purposes of 3DV standardization, Technical Report, ISO/IECJTC1/SC29/WG11, 5p.
Domañski, M., T. Grajek, K. Klimaszewski, M. Kurc, O. Stankiewicz, J. Stankowski, and K. Wegner. 2009. Poznan multiview video test sequences and camera parameters, Technical Report, ISO/IEC JTC1/SC29/WG11, 6.
Rusanovskyy D., P. Aflaki, and M. Hannuksela. 2011. Undo Dancer 3DV sequence for purposes of 3DV standardization, Technical Report, ISO/IEC JTC1/SC29/WG11, 6.
NICT. 2017. National Institute of Information and Communication Technology. Source: ftp://ftp.merl.com/pub/tian/NICT-3D/Shark/.
Bjontegaard, G. 2001. Calculation of average PSNR differences between RD-curves, Technical Report, ITU-T SC16/SG16 VCEG-M33, 4.
Chen, Y, G. Tech, K. Wegner, and S. Yea. 2015. Test model 11 of 3D-HEVC and MV-HEVC, Technical Report, ISO/IEC JTC1/SC29/WG11, 58.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Sanchez, G., Agostini, L., Marcon, C. (2020). 3D-HEVC Background. In: Algorithms for Efficient and Fast 3D-HEVC Depth Map Encoding. Springer, Cham. https://doi.org/10.1007/978-3-030-25927-3_2
Download citation
DOI: https://doi.org/10.1007/978-3-030-25927-3_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-25926-6
Online ISBN: 978-3-030-25927-3
eBook Packages: EngineeringEngineering (R0)