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HEVC Encoding Assisted with Noise Reduction

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Optimization of encoding process in video compression is an important research problem, especially in the case of modern, sophisticated compression technologies. In this paper, we consider HEVC, for which a novel method for selection of the encoding modes is proposed. By the encoding modes we mean e.g. coding block structure, prediction types and motion vectors. The proposed selection is done basing on noise-reduced version of the input sequence, while the information about the video itself, e.g. transform coefficients, is coded basing on the unaltered input. The proposed method involves encoding of two versions of the input sequence. Further, we show realization proving that the complexity is only negligibly higher than complexity of a single encoding. The proposal has been implemented in HEVC reference software from MPEG and tested experimentally. The results show that the proposal provides up to 1.5% bitrate reduction while preserving the same quality of a decoded video.
Rocznik
Strony
285--292
Opis fizyczny
Bibliogr. 29 poz., il., rys., tab., wykr.
Twórcy
  • Chair of Multimedia Telecommunications and Microelectronics, Poznan University of Technology, Poznan, Poland
autor
  • Chair of Multimedia Telecommunications and Microelectronics, Poznan University of Technology, Poznan, Poland
autor
  • Chair of Multimedia Telecommunications and Microelectronics, Poznan University of Technology, Poznan, Poland
  • Chair of Multimedia Telecommunications and Microelectronics, Poznan University of Technology, Poznan, Poland
  • Chair of Multimedia Telecommunications and Microelectronics, Poznan University of Technology, Poznan, Poland
autor
  • Chair of Multimedia Telecommunications and Microelectronics, Poznan University of Technology, Poznan, Poland
Bibliografia
  • [1] https://www.omnicoreagency.com/youtube-statistics/
  • [2] https://www.statista.com/statistics/250934/quarterly-number-of-netflixstreaming-subscribers-worldwide/
  • [3] D. Karwowski, T. Grajek, K. Klimaszewski, O. Stankiewicz, J. Stankowski, K. Wegner, ”20 Years of Progress in Video Compression - from MPEG-1 to MPEG-H HEVC. General View on the Path of Video Coding Development”, Image Processing and Communications Challenges 8, Advances in Intelligent Systems and Computing, vol. 525, pp. 3-15, Springer, Heidelberg 2017.
  • [4] G.J. Sullivan, J.-R. Ohm, W.J. Han, T. Wiegand, ”Overview of the High Efficiency Video Coding (HEVC) standard”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 22, no. 12, pp. 1649-1668, 2012.
  • [5] T. Wiegand, G.J. Sullivan, G. Bjontegaard, A. Luthra, ”Overview of the H.264/AVC video coding standard”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 13, no. 7, pp. 560-576, 2003.
  • [6] J.-R. Ohm, G.J. Sullivan, H. Schwarz, TK Tan, T. Wiegand, ”Comparison of the coding efficiency of video coding standards - Including High Efficiency Video Coding (HEVC)”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 22, no. 12, pp. 1669-1684, 2012.
  • [7] F. Bossen, B. Bross, K. Suhring, D. Flynn, ”HEVC Complexity Analysis and Implementation”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 22, no. 12, pp. 1685-1696, 2012.
  • [8] S. Cho, M. Kim, ”Fast CU splitting and pruning for suboptimal CU partitioning in HEVC intra coding”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 23, no. 9, pp. 15551564, 2013.
  • [9] W. Jiang, H. Ma, Y. Chen, ”Gradient Based Fast Mode Decision Algorithm for Intra Prediction in HEVC”, in Proceedings of 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet), pp. 1836-1840, 2012.
  • [10] S. Jung, H. Park, ”A Fast Mode Decision Method in HEVC using Adaptive Ordering of Modes”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 26, no. 10, pp. 1846-1858, 2016.
  • [11] K. Lim, J. Lee, S. Kim, S. Lee, ”Fast PU Skip and Split Termination Algorithm for HEVC Intra Prediction”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, no. 8, pp. 1335-1346, 2015.
  • [12] B. Min, R.C.C. Cheung, ”A Fast CU Size Decision Algorithm for the HEVC Intra Encoder”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, no. 5, pp. 892896, 2015.
  • [13] D. Palomino, E. Cavichioli, A. Susin, L. Agostini, M. Shafique, J. Henkel, ”Fast HEVC Intra Mode Decision Algorithm Based on New Evaluation Order in the Coding Tree Block”, Picture Coding Symposium (PCS), 2013.
  • [14] L. Shen, Z. Zhang, Z. Liu, ”Effective CU Size Decision for HEVC Intracoding”, IEEE Transactions on Image Processing, vol. 23, no. 10, pp. 42324241, October 2014.
  • [15] J. Siast, J. Stankowski, M. Domaski, ”Hierarchical fast selection of intraframe prediction mode in HEVC”, International Journal of Electronics and Telecommunications, Vol. 62, No. 2, pp. 147-151, 2016.
  • [16] T. L. Silva, L. A. Silva Cruz, L. V. Agostini, ”HEVC Intra Mode Decision Acceleration Based on Tree Depth Levels Relationship”, Picture Coding Symposium (PCS), 2013.
  • [17] G. Tian, S. Goto, ”Content Adaptive Prediction Unit Size Decision Algorithm for HEVC Intra Coding”, Picture Coding Symposium (PCS), pp. 405-408, 2012.
  • [18] D. Xu, Q. Lin, X. Dong, ”Fast intracoding unit size decision algorithm for high-efficiency video coding”, Journal of Electronic Imaging, vol. 23, no. 1, January 2014.
  • [19] H. Zhang, Q. Liu, Z. Ma, ”Priority Classification Based Fast Intra Mode Decision for High Efficiency Video Coding”, Picture Coding Symposium (PCS) 2013.
  • [20] W. Zhao, T. Onoye, T. Song, ”Hierarchical Structure based Fast Mode Decision for H.265/HEVC”, IEEE Transactions on Circuit and Systems for Video Technology, vol. 25, no. 10, pp. 1651-1664, 2015.
  • [21] L. Zhao, L. Zhang, S. Ma, and D. Zhao, ”Fast mode decision algorithm for intra prediction in HEVC”, IEEE Visual Communications and Image Processing (VCIP), pp. 1-4, 2011.
  • [22] ”HM 15.0 Reference Software”. 2014. Joint Collaborative Team on Video Coding (JCT-VC) of ITU-T SG 16 WP 3 and ISO / IEC JTC 1 /SC29/WG11, https://hevc.hhi.fraunhofer.de/svn/svn HEVCSoftware/tags/HM-15.0.
  • [23] B.C. Song, K.W. Chun, ”Motion-compensated temporal prefiltering for noise reduction in a video encoder”, 2004 International Conference on Image Processing, ICIP ’04, pp. 1221-1224, 2004.
  • [24] O. Stankiewicz, K. Wegner, D. Karwowski, J. Stankowski, K. Klimaszewski, T. Grajek, ”Encoding mode selection in HEVC with the use of noise reduction”, International Conference on Systems, Signals and Image Processing (IWSSIP), Poznan, Poland, 2017.
  • [25] V. Sze, M. Budagavi, ”High Throughput CABAC Entropy Coding in HEVC”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 22, no. 12, pp. 1778-1791, 2012.
  • [26] M. Fizick, A. Balakhnin, T. Schniede ”Mv-tools web-page” http://avisynth.org.ru/mvtools/mvtools.html - online 1 Dec 2013.
  • [27] R. Berg, K. Post, W. Dijkhof, E. Peche, B. Rudiak-Gould, ”Avi-Synth webpage”, www.avisynth.org - online 1 Dec 2013.
  • [28] F. Bossen. ”Common test conditions and reference software configurations”, Joint Collaborative Team on Video Coding (JCT-VC) of ITU-T SG16 WP3 and ISO / IEC JTC1 / SC29 / WG11, Doc. JCTVC-J1100, 2012.
  • [29] G. Bjøntegaar, ”Calculation of average PSNR differences between RD curves”, ITU-T SG16 / Q6, Doc. VCEG-M33, 2001.
Uwagi
1. Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
2. Research project was supported by The National Centre for Research and Development, POLAND, Grant no. LIDER/023/541/L-4/12/NCBR/2013.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-728f8501-7543-479d-a011-770b40678483
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