Skip to main content

Multilevel ML Assistance to High Efficiency Video Coding

  • Conference paper
  • First Online:
Advances in Computer Communication and Computational Sciences

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 924))

  • 1168 Accesses

Abstract

High efficiency video coding (HEVC) standard also known as H.265 is an emerging international standard for video coding developed by joint collaborative team on video coding which is completed in January 2013. It provides around twice as much compression as H.264 for same the visual quality of the video. This bit rate reduction up to 50% comes with the increased complexity in encoder. The complexity is introduced mainly due to the additional angular modes for intraprediction, introduction of larger coding units and their flexible partitioning structure. HEVC encoders are expected to be much complex than H.264/AVC and will be an area of active research in future. This paper proposes a machine learning-based multilevel assistance to intra- and interprediction stage of video coding so as to reduce the computational complexity and avoid the huge wastage of computational efforts. Also brings the context awareness to improve the overall performance of the system.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Cisco Visual Networking Index: Forecast and Methodology, CISCO White Paper, pp. 2016–2021, 6 June 2017

    Google Scholar 

  2. Lei, H., Yang, Z.: Fast intra prediction mode decision for high efficiency video coding. In: 2nd International Symposium on Computer, Communication, Control and Automation (3CA 2013). Atlantis Press, pp. 34–37

    Google Scholar 

  3. Lin, Y.C., Lai, J.C.: A fast depth-correlation algorithm for intra coding in HEVC. Int. J. Sci. Eng. 4(2), 269–272 (2014)

    Google Scholar 

  4. Helle, P., Oudin, S., Bross, B., Marpe, D., Bici, M.O., Ugur, K., Jung, J., Clare, G., Wiegand, T.: Block merging for Quadtree-based partitioning in HEVC. IEEE Trans. Circuits Syst. Video Technol. 22(12), 1720–1731 (2012)

    Article  Google Scholar 

  5. Lee, J., Kim, S., Lim, S., Lee, S.: A fast CU size decision algorithm for HEVC. IEEE Trans. Circuits Syst. Video Technol. https://doi.org/10.1109/tcsvt.2014.2339612 (2013)

    Article  Google Scholar 

  6. Ahn, S., Lee, B., Kim, M.: A novel fast CU encoding scheme based on spatio-temporal encoding parameters for HEVC inter coding. IEEE Trans. Circuits Syst. Video Technol. https://doi.org/10.1109/tcsvt.2014.2360031,2014

  7. Park, C., Hong, G. S., Kim, B. G.: novel intermode prediction algorithm for high efficiency video coding encoder, vol. 2014, p. 8, Article ID 196035. Hindawi Publishing Corporation Advances in Multimedia. http://dx.doi.org/10.1155/2014/196035

    Article  Google Scholar 

  8. Zhang, H., Ma, Z.: Fast intra mode decision for High Efficiency Video Coding (HEVC). IEEE Trans. Circuits Syst. Video Technol. 24(4), 660–668 (2014)

    Article  Google Scholar 

  9. Yongfei, Z., Zhe, L., Mingfei, Z., Bo, L.: Fast residual quad-tree coding for the emerging high efficiency video coding standard. Commun. Software, China Commun. pp. 155–166 (2014)

    Article  Google Scholar 

  10. Khan, M. U. K., Shafique, M., Henkel, J.: Fast hierarchical intra angular mode selection for high efficiency video coding. IEEE Int. Conf. Image Proc. ICIP 2014, pp. 3681–3685 (2014)

    Google Scholar 

  11. Kamisli, F.: Intra prediction based on markov process modelling of images. IEEE Trans. Image Proc. 22(10), 3916–3925 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  12. Lin, J.L., Chen, Y.W., Huang, Y.W., Lei, S.M.: Motion vector coding in the HEVC standard. IEEE J. Sel. Top. Signal Proc. 7(6), 957–968 (2013)

    Article  Google Scholar 

  13. Pan, Z., Zhang, Y., Kwong, S., Xu, L., Wang, X., Xu, L.: Early termination for Tzsearch In Hevc Motion Estimation. In: IEEE International Conference on Acoustic Speech and Signal Processing, ICASSP 2013, pp. 1389–1393. [14] Lee Prangnell, Technical report on Improving Linear Transformation & Quantization in HEVC, HEVC Research, University of Warwick (2014)

    Google Scholar 

  14. Grellert, M., Zatt, B., Bampi, S., da Silva Cruz, L. A.: Fast coding unit partition decision for HEVC using support vector machines. IEEE Trans. Circuits Syst. Video Technol. (2018)

    Google Scholar 

  15. Zhu, L., Zhang, Y., Wang, R., Kwong, S., Peng, Z.: Binary and multi-class learning based low complexity optimization for HEVC encoding. IEEE Trans. Broadcasting (2017)

    Google Scholar 

  16. Lin, Y.C., Lai, J.C.: Feature-based fast coding unit partition algorithm for high efficiency video coding. J. Appl. Res. Technol. 13, 205–219 (2015)

    Article  Google Scholar 

  17. Li, Y., Liu, Y., Yang, H., Yang, D.: An adaptive search range method for HEVC with K nearest neighbour algorithm. IEEE VCIP (2015)

    Google Scholar 

  18. Wu, X., Wang, H., Wei, Z.: Bayesian rule based fast TU depth decision algorithm for high efficiency video coding. VCIP 2016, Chengdu, China, 27–30 Nov 2016

    Google Scholar 

  19. Shen, X., Yu, L., Che, J.: Fast coding unit size selection for HEVC based on Bayesian Decision rule. In: Picture Coding Symposium 2012, Poland (2012)

    Google Scholar 

  20. Correa, G., Assuncao, P.A., Agostini, L.V., da Silva Cruz, L.A.: Fast HEVC encoding decisions using data mining. IEEE Trans. Circuits Syst. Video Technol. 25(4), 660 (2015)

    Article  Google Scholar 

  21. Correa, G., Assuncao, P., Agostini, L., da Silva Cruz, L. A.:Four-step algorithm for early termination in HEVC inter-frame prediction based on decision tree. IEEE Visual Commun. Image Proc. (2014)

    Google Scholar 

  22. Ruiz-Coll, D., Adzic, V., Fernández-Escribano, G., Kalva, H., Martínezand, J. L., Cuenca, P.: Fast partitioning algorithm for HEVC intra frame coding using machine learning. ICIP (2014)

    Google Scholar 

  23. Mu, F., Song, L., Yang, X., Lu, Z.: Fast coding unit depth decision for HEVC. IEEE Int. Conf. Multimedia Expo Workshops (2014)

    Google Scholar 

  24. Leng, J., Sun, L., Ikenaga, T.: Content based hierarchical fast coding unit decision algorithm for HEVC. In: 2011 International Conference on Multimedia and Signal Processing

    Google Scholar 

  25. Sullivan, G.J., Ohm, J.R., Wiegand, T., Han, W.J.: Overview of the High Efficiency Video Coding (HEVC) standard. IEEE Trans. Circuits Syst. Video Technol. 22(12), 1649–1668 (2012)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chhaya Shishir Pawar .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Pawar, C.S., Sawarkar, S.D. (2019). Multilevel ML Assistance to High Efficiency Video Coding. In: Bhatia, S., Tiwari, S., Mishra, K., Trivedi, M. (eds) Advances in Computer Communication and Computational Sciences. Advances in Intelligent Systems and Computing, vol 924. Springer, Singapore. https://doi.org/10.1007/978-981-13-6861-5_27

Download citation

Publish with us

Policies and ethics