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Improved HEVC \(\lambda \)-domain rate control algorithm for HDR video

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Abstract

Widespread high dynamic range (HDR) video distribution via transmission and broadcast is imminent in the near future. However, the rate control (RC) algorithms in video coding standards, like high-efficiency video coding (HEVC), are optimized and designed for low dynamic range (LDR) content—making them inefficient in the rate-distortion (RD) sense, when applied to HDR video compression and distribution. In this paper, we propose a non-normative change to the HM16.2 HEVC \(\lambda \)-domain RC algorithm to achieve high-fidelity HDR video distribution. A new \(\lambda \)-QP relation is modeled for HDR content after assessing the suitable RD model. The results indicate that the proposed RC algorithm outperforms the default RC algorithm in HEVC, achieving on average performance gains of 1.40 dB, 0.685 units, and 0.0155 units in terms of PU-PSNR, HDR-VDP-2.2 Q factor, and HDR-VQM, respectively. Further, proposed method has bit estimation accuracy similar to the default HEVC RC algorithm. Also, the subjective evaluations corroborate the significance of the performance gained in the objective metrics.

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References

  1. Luthra, A., Francois, E., Husak, W.: Call for evidence (CfE) for HDR and WCG video coding. ISO/IEC JTC1/SC29/WG11 MPEG2014 N, 15083 (2015)

  2. Li, Bin, Li, Houqiang, Li, Li, Zhang, Jinlei: \( \lambda - \) domain rate control algorithm for high efficiency video coding. IEEE Trans. Image Process. 23(9), 3841–3854 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  3. Chiang, Tihao, Zhang, Ya-Qin: A new rate control scheme using quadratic rate distortion model. IEEE Trans. Circuits Syst. Video Technol. 7(1), 246–250 (1997)

    Article  Google Scholar 

  4. He, Zhihai, Kim, Yong Kwan, Mitra, Sanjit K: Low-delay rate control for DCT video coding via \(\rho -\)domain source modeling. IEEE Trans. Circuits Syst. Video Technol. 11(8), 928–940 (2001)

    Article  Google Scholar 

  5. Boitard, R., Mantiuk, R.K., Pouli, T.: Evaluation of color encodings for high dynamic range pixels. SPIE J. Electron. Imaging 9394, 93941 (2015)

    Google Scholar 

  6. Boitard, Ronan, Pourazad, Mahsa T, Nasiopoulos, Panos, Slevinsky, Jim: Demystifying high-dynamic-range technology: a new evolution in digital media. IEEE Consum. Electron. Mag. 4(4), 72–86 (2015)

    Article  Google Scholar 

  7. Reinhard, E., Heidrich, W., Debevec, P., Pattanaik, S., Ward, G., Myszkowski, K.: High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting. Morgan Kaufmann, Burlington (2010)

    Google Scholar 

  8. Li, B, Xu, J., Dong, Z., Li, H.: QP refinement according to Lagrange multiplier for high efficiency video coding. In: IEEE International Symposium on Circuits and Systems (ISCAS) 477–480 (2013)

  9. Bai, L., Song, L., Xie, R., Zhang, L., Luo, Z.: Rate control model for high dynamic range video. In: Visual Communications and Image Processing (VCIP), 2017 IEEE, pp. 1–4. IEEE (2017)

  10. Perez-Daniel, K.R., Sanchez, V.: Luma-aware multi-model rate-control for HDR content in HEVc. In: 2017 IEEE International Conference on Image Processing (ICIP), pp. 1022–1026. IEEE (2017)

  11. High Efficiency Video Coding (HEVC) HM reference software. https://hevc.hhi.fraunhofer.de/svn/svn_HEVCSoftware/tags/HM-16.2/

  12. Aydın, T.O., Mantiuk, R., Seidel, H.-P.: Extending quality metrics to full luminance range images. SPIE J. Electron. Imaging 6806, 68060B (2008)

    Google Scholar 

  13. Sullivan, Gary J, Ohm, Jens, Han, Woo-Jin, Wiegand, Thomas: Overview of the high efficiency video coding (HEVC) standard. IEEE Trans. Circuits Syst. Video Technol. 22(12), 1649–1668 (2012)

    Article  Google Scholar 

  14. Krawczyk, G.: HDR video environment map samples (2012). http://resources.mpi-inf.mpg.de/hdr/video/

  15. Kronander, J., Gustavson, S., Bonnet, G., Ynnerman, A., Unger, J.: LiU HDRv repository (2014). http://www.hdrv.org/Resources.php

  16. Lasserre, S., LeLéannec, F., Francois, E.: Description of HDR sequences proposed by Technicolor. ISO/IEC JTC1/SC29/WG11 JCTVC-P0228], IEEE, San Jose, USA (2013)

  17. Song, L., Liu, Y., Yang, X., Zhai, G., Xie, R., Zhang, W.: The SJTU HDR video sequence dataset. In: Proceedings of International Conference on Quality of Multimedia Experience (QoMEX 2016), p. 100 (2016)

  18. Bossen, F.: Common test conditions and software reference configurations. In: Joint Collaborative Team on Video Coding (JCT-VC) of ITU-T SG16 WP3 and ISO/IEC JTC1/SC29/WG11, 5th Meeting (2011)

  19. Mantiuk, R. K.: Practicalities of predicting quality of high dynamic range images and video. In: IEEE International Conference on Image Processing (ICIP), pp. 904–908 (2016)

  20. High dynamic range television for production and international programme exchange (2016)

  21. Narwaria, Manish, Mantiuk, Rafal K, Da Silva, Mattheiu Perreira, Le Callet, Patrick: HDR-VDP-2.2: a calibrated method for objective quality prediction of high-dynamic range and standard images. SPIE J. Electron. Imaging 24(1), 010501–010501 (2015)

    Article  Google Scholar 

  22. Narwaria, Manish, Da Silva, Matthieu Perreira, Le Callet, Patrick: HDR-VQM: an objective quality measure for high dynamic range video. Elsevier J. Signal Process. Image Commun. 35, 46–60 (2015)

    Article  Google Scholar 

  23. Bjontegaard, G.: Calculation of average PSNR differences between RD-curves. ITU SG16 Doc. VCEG-M33 (2001)

  24. Wang, Miaohui, Ngan, King Ngi, Li, Hongliang: An efficient frame-content based intra frame rate control for high efficiency video coding. IEEE Signal Process. Lett. 22(7), 896–900 (2015)

    Article  Google Scholar 

  25. ITU Radiocommunication Assembly: Methodology for the Subjective Assessment of the Quality of Television Pictures. International Telecommunication Union, Geneva (2003)

    Google Scholar 

  26. UHD Premium Specifications. http://www.uhdalliance.org/uhdalliancepressreleasejanuary42016/#more1227

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Authors and Affiliations

  1. Department of Electrical Engineering, University of Engineering and Technology (UET) Taxila, Taxila, Pakistan

    Junaid Mir

  2. Center for Vision Speech and Signal Processing (CVSSP), University of Surrey, Guildford, UK

    Dumidu S. Talagala, Anil Fernando & Syed Sameed Husain

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  1. Junaid Mir
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  2. Dumidu S. Talagala
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  3. Anil Fernando
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  4. Syed Sameed Husain
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Correspondence to Junaid Mir.

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Mir, J., Talagala, D.S., Fernando, A. et al. Improved HEVC \(\lambda \)-domain rate control algorithm for HDR video. SIViP 13, 439–445 (2019). https://doi.org/10.1007/s11760-018-01411-2

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