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Acceleration of the integer motion estimation in JEM through pre-analysis techniques

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Abstract

ITU-T Video Coding Expert Group and ISO/IEC Moving Picture Expert Group are studying the potential need for standardization of the future video coding technology with a compression capability that significantly exceeds that of the current High Efficiency Video Coding (HEVC) standard, including its current extensions. Both groups are working together on this exploration activity in a collaboration effort known as Joint Video Exploration Team to evaluate compression technology designs proposed by their experts in this area. Preliminary results show that the new model achieves 25% bitrate reduction, but at a cost of extremely high computational complexity (11\(\times {}\)) with respect to HEVC. This paper proposes a pre-analysis algorithm designed to extract motion information of a frame, which is later used in the Motion Estimation (ME) module to speed up the encoder, showing that around 27% of the reference frames can be skipped and that more than 62% of the time is saved in the integer ME operation with a negligible impact of 0.11% in BD-rate.

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References

  1. ISO/IEC, ITU-T (2016) High efficiency video coding (HEVC). ITU-T Recommendation H.265 and ISO/IEC 23008-2 (version 4)

  2. ISO/IEC, ITU-T (2017) Advanced video coding for generic audiovisual services. ITU-T Recommendation H.264 and ISO/IEC 14496-10 (version 12)

  3. Ohm JR, Sullivan GJ, Schwarz H, Tan Thiow Keng, 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. https://doi.org/10.1109/TCSVT.2012.2221192

    Article  Google Scholar 

  4. Cisco (2017) Cisco visual networking index: forecast and methodology, 2016–2021. https://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/complete-white-paper-c11-481360.html. Accessed 31 Jul 2017

  5. Chen J, Alshina E, Sullivan GJ, Ohm JR, Boyce J (2016) Algorithm description of joint exploration test model 3. Technical Report JVET-C1001

  6. Karczewicz M, Alshina E (2016) JVET AHG report: tool evaluation (AHG1). Technical Report JVET-D0001

  7. Sullivan GJ, Ohm JR, Han Woo-Jin, Wiegand T (2012) Overview of the high efficiency video coding (HEVC) standard. IEEE Trans Circuits Syst Video Technol 22(12):1649–1668. https://doi.org/10.1109/TCSVT.2012.2221191

    Article  Google Scholar 

  8. Kim IK, Min J, Lee T, Han WJ, Park J (2012) Block partitioning structure in the HEVC standard. IEEE Trans Circuits Syst Video Technol 22(12):1697–1706. https://doi.org/10.1109/TCSVT.2012.2223011

    Article  Google Scholar 

  9. ISO/IEC, ITU-T (2017) Joint exploration test model (JEM) reference software. https://jvet.hhi.fraunhofer.de/. Accessed 15 Jan 2017

  10. ISO/IEC, ITU-T (2016) HEVC test model (HM) reference software. https://hevc.hhi.fraunhofer.de/. Accessed 15 Jan 2017

  11. Suehring K, Li X (2016) JVET common test conditions and software reference configurations. Technical Report JVET-B1010

  12. Bjøntegaard G (2008) Improvements of the BD-PSNR model. Technical Report VCEG-AI11, 35th VCEG Meeting, ITU-T SG16 Q6

  13. Cebrián-Márquez G, Hernández-Losada JL, Martínez JL, Cuenca P, Tang M, Wen J (2015) Accelerating HEVC using heterogeneous platforms. J Supercomput 71(2):613–628. https://doi.org/10.1007/s11227-014-1313-8

    Article  Google Scholar 

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Acknowledgements

This work was jointly supported by the Spanish Ministry of Economy and Competitiveness (MINECO) and the European Commission (FEDER funds) under the Project TIN2015-66972-C5-2-R, and by the Spanish Ministry of Education, Culture and Sports under the Grants FPU13/04601 and FPU16/05692.

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Authors and Affiliations

  1. Albacete Research Institute of Informatics (I3A), University of Castilla-La Mancha, Albacete, Spain

    David García-Lucas, Gabriel Cebrián-Márquez, Antonio Jesús Díaz-Honrubia & Pedro Cuenca

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  1. David García-Lucas
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  2. Gabriel Cebrián-Márquez
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  3. Antonio Jesús Díaz-Honrubia
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  4. Pedro Cuenca
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Correspondence to Antonio Jesús Díaz-Honrubia.

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García-Lucas, D., Cebrián-Márquez, G., Díaz-Honrubia, A.J. et al. Acceleration of the integer motion estimation in JEM through pre-analysis techniques. J Supercomput 75, 1203–1214 (2019). https://doi.org/10.1007/s11227-018-2352-3

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  • DOI: https://doi.org/10.1007/s11227-018-2352-3

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