Abstract
In this chapter, performance analysis of HEVC (Recommendation ITU-T H.265 | ISO/IEC 23008-2) in comparison with AVC (Recommendation ITU-T H.264 | ISO/IEC 14996-10) in terms of both objective as well as subjective quality assessments are given. Because of the increased flexibility offered by HEVC, methods to select the best coding parameters, in a rate-distortion sense, are also described. Special care has been taken to apply a unified approach when conducting subjective and objective quality evaluation between HEVC and AVC. Our overall evaluation study results show the coding efficiency of HEVC to be about twice higher than that of AVC.
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Notes
- 1.
These fix values are pre-determined and they depend on PU size.
- 2.
The horizontal cropping removed one half of the pixels so as to enable both the HEVC and AVC encoded sequences to be displayed side-by-side on the 3840 pixel-wide 4K monitor.
- 3.
A 5° scale was selected for this study in lieu of more commonly used 7° and 3° scales, because it is known to work well to prioritize video quality improvement work during commercial encoder development.
- 4.
The 69.4 % result was derived by summing the selection counts in the HEVC B, HEVC SB and NP columns of Table 9.12 and dividing by the total number of selection counts.
- 5.
The earlier studies also used earlier versions of the HEVC draft standard and a slightly different evaluation methodology.
References
Bjntegaard G (2001) Calculation of average PSNR differences between RD-curves, ITU-T SG16 Q6 Video Coding Experts Group (VCEG), Document VCEG-M33, Austin, Apr. 2001
Bossen F (2011) Excel template for BD-rate calculation based on Piece-wise Cubic Interpolation, JCT-VC Reflector
Bossen F (2013) Common test conditions and software reference configurations, Joint Collaborative Team on Video Coding (JCT-VC), Document JCTVC-L1110, Geneva, Jan. 2014
Cover TM, Thomas JA (1991) Elements of information theory, Chapter 13. Wiley, New York
Flierl M, Girod B (2003) Generalized B pictures and the draft H.264/AVC video compression standard. IEEE Trans Circuits Syst Video Technol 13(7):587--597
H.264/MPEG-4 AVC Reference Software, Joint Model 18.5: http://iphome.hhi.de/suehring/tml/download/jm18.5.zip
Hanhart P, Ebrahimi T (2014) Calculation of average coding efficiency based on subjective quality scores. J Visual Commun Image Represent 25(3):555--564
Hanhart P, Rerabek M, De Simone F, Ebrahimi T (2012) Subjective quality evaluation of the upcoming HEVC video compression standard. In: Proc. SPIE. 8499, Applications of Digital Image Processing XXXV, no. 84990V, Oct. 2012
Hanhart P, Rerabek M, Korshunov P, Ebrahimi T (2013) Subjective evaluation of HEVC intra coding for still image compression. In: Seventh international workshop on Video Processing and Quality Metrics for Consumer Electronics (VPQM), Scottsdale, Arizona
Horowitz M, Kossentini F, Mahdi N, Xu S, Guermazi H, Tmar H, Li B, Sullivan GJ, Xu J (2012) Informal subjective quality comparison of video compression performance of the HEVC and H.264/MPEG-4 AVC standards for low-delay applications. In: Proc. SPIE. 8499, Applications of Digital Image Processing XXXV, no. 84990W, Oct. 2012
ITU-R Rec. BT.500-11 (2006) Methodology for the subjective assessment of the quality of television pictures
ITU-T Rec. P.910 (2008) Subjective video quality assessment methods for multimedia applications
ITU-R BT.2022 (2012) General viewing conditions for subjective assessment of quality of SDTV and HDTV television pictures on flat panel displays
ITU-R BT.500-13 (2012) Methodology for the subjective assessment of the quality of television pictures
McCann K, Bross B, Han WJ, Kim IK, Sugimoto K, Sullivan GJ (2013), High Efficiency Video Coding (HEVC) Test Model 13 (HM 13) Encoder Description, Joint Collaborative Team on Video Coding (JCT-VC), Document JCTVC-O1002, Geneva, Oct. 2013
Joint Collaborative Team on Video Coding (JCT-VC) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29/WG 11. HM12.1 Reference Software: https://hevc.hhi.fraunhofer.de/svn/svn-HEVCSoftware/(mainsite) and http://hevc.kw.bbc.co.uk/svn/jctvc-a124/(mirrorsite)
Karczewicz M, Ye Y, Chong I (2008) Rate distortion optimized quantization, ITU-T SG16 Q6 Video Coding Experts Group (VCEG), Document VCEG-AH21, Antalya, Jan. 2008
Nguyen T, Marpe D (2012) Performance analysis of HEVC based Intra coding for still image compression. In: PCS2012, May 2012, pp 233--236
Ohm J-R, Sullivan GJ, Schwarz H, Tan TK, Wiegand T (2012) Comparison of the coding efficiency of video coding standards --including High Efficiency Video Coding (HEVC). IEEE Trans Circuits Syst Video Technol 22(12):1669--1684
Ortega A, Ramchandran K (1999) Rate-distortion methods for image and video compression: an overview. IEEE Signal Process J 23--50
Schwarz H, Marpe D, Wiegand T (2005) Hierarchical B pictures, Joint Video Team (JVT), Document JVT-P014, Poznan, July 2005
Sullivan GJ, Wiegand T (1999) Rate-distortion optimization for video compression. IEEE Signal Process J 74 -90
VideoLANx264 SW library (2013) http://www.videolan.org/developers/x264.html. Version core l35 r2345, 30 July 2013
Acknowledgments
Regarding Sect. 9.4, the authors wish to thank 4EVER consortium, British Broadcasting Corporation (BBC), Kamerawerk GmbH and Technicolor for providing the original video test sequences used for visual testing. Our special thanks and gratitude go also to T. K. Tan, of NTT Docomo, for his help and support in the preparation of coded video test sequences used for subjective performance evaluations in Sect. 9.4. Subjective evaluations performed at EPFL were possible thanks to the Swiss National Foundation for Scientific Research (FN 200021-143696-1), EC funded Network of Excellence VideoSense, and COST Action IC1003 European Network on Quality of Experience in Multimedia Systems and Services QUALINET. Efforts by Hiromi Nemoto for set up and conducting subjective evaluations at EPFL are also acknowledged.
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Tabatabai, A. et al. (2014). Compression Performance Analysis in HEVC. In: Sze, V., Budagavi, M., Sullivan, G. (eds) High Efficiency Video Coding (HEVC). Integrated Circuits and Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-06895-4_9
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