Skip to main content

Texture-Based Fast CU Size Decision and Intra Mode Decision Algorithm for VVC

  • Conference paper
  • First Online:
MultiMedia Modeling (MMM 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11961))

Included in the following conference series:

Abstract

Versatile Video Coding (VVC) is the next generation video coding standard. Compared with HEVC/H.265, in order to improve coding efficiency, its complexity of intra coding increases significantly. Too much encoding time makes it difficult for real-time coding and hardware implementation. To tackle this urgent problem, a texture-based fast CU size decision and intra mode decision algorithm is proposed in this paper. The contributions of the proposed algorithm include two aspects. (1) Aiming at the latest adopted QTMT block partitioning scheme in VVC, some redundant splitting tree and direction are skipped according to texture characteristics and differences between sub-parts of CU. (2) A fast intra mode decision scheme is proposed which considers complexity and texture characteristics. Some hierarchical modifications are applied including reducing the number of checked Intra Prediction Modes (IPM) and candidate modes in Rough Modes Decision (RMD) and RD check stage respectively. Compared with the latest VVC reference software VTM-4.2, the proposed algorithm can achieve approximately 46% encoding time saving on average with only 0.91% BD-RATE increase or 0.046 BD-PSNR decrease.

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 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
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. Van der Auwera, G., Seregin, V., Said, A., Ramasubramonian, A.K., Karczewicz, M.: CE3: simplified PDPC (Test 2.4.1), document JVET-K0063. In: Proceedings of 11th JVET Meeting, Ljubljana, SI, July 2018

    Google Scholar 

  2. Chen, H., Yang, H., Chen, J.: CE4: affine motion compensation with fixed sub-block size (Test 1.1), document JVET-K0184. In: Proceedings of 11th JVET Meeting, Ljubljana, SI, July 2018

    Google Scholar 

  3. De-Luxán-Hernández, S., et al.: CE3: Intra sub-partitions coding mode (Tests 1.1.1 and 1.1.2), document JVET -M0102. In: Proceedings of 13th JVET Meeting, Marrakech, MA, Jan 2019

    Google Scholar 

  4. Bross, B.: Versatile video coding (Draft 1), document JVET-J1001. In: Proceedings of 10th JVET Meeting, San Diego, US, Apr 2018

    Google Scholar 

  5. Choi, N., Piao, Y., Choi, K., Kim, C.: CE3.3 related: intra 67 modes coding with 3MPM, document JVET-K0529, JVET-K0368. In: Proceedings of 11th JVET meeting, Ljubljana, SI, July 2018

    Google Scholar 

  6. Chen, J., et al.: Coding tools investigation for next generation video coding, ITU-T SG16 Doc. COM16CC806, Feb 2015

    Google Scholar 

  7. Öztekin, A., Erçelebi, E.: An early split and skip algorithm for fast intra CU selection in HEVC. J. Real-Time Image Process. 12, 273–283 (2016)

    Article  Google Scholar 

  8. Zhang, M., Lai, D., Liu, Z., An, C.: A novel adaptive fast partition algorithm based on CU complexity analysis in HEVC. Multimedia Tools Appl. 78, 1035–1051 (2019)

    Article  Google Scholar 

  9. Jamali, M., Coulombe, S.: Coding unit splitting early termination for fast HEVC intra coding based on global and directional gradients. In: 2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP), pp. 1–5 (2016)

    Google Scholar 

  10. Chang, L., Liu, Z., Wang, L., Li, X: Enhance the HEVC fast intra CU mode decision based on convolutional neural network by corner power estimation. In: 2018 Data Compression Conference (DCC), p. 400 (2018)

    Google Scholar 

  11. Ogata, J., Ichige, K.: Fast intra mode decision method based on outliers of DCT coefficients and neighboring block information for H. 265/HEVC. In: 2018 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1–5 (2018)

    Google Scholar 

  12. Jamali, M., Coulombe, S.: Fast HEVC intra mode decision based on RDO cost prediction. IEEE Trans. Broadcast. 65(1), 109–122 (2019)

    Article  Google Scholar 

  13. Jin, Z., An, P., Shen, L.: Fast QTBT partition algorithm for JVET intra coding based on CNN. In: Pacific Rim Conference on Multimedia (PCM), pp. 59–69 (2017)

    Chapter  Google Scholar 

  14. Lin, T., Jiang, H., Huang, J., Chang, P.: Fast intra coding unit partition decision in H. 266/FVC based on spatial features. J. Real-Time Image Process. 1–18 (2018)

    Google Scholar 

  15. Amestoy, T., Mercat, A., Hamidouche, W., Bergeron, C., Menard, D.: Random forest oriented fast QTBT frame partitioning. In: 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1837–1841 (2019)

    Google Scholar 

  16. Yang, H., Shen, L., Dong, X., Ding, Q., An, P., Jiang, G.: Low complexity CTU partition structure decision and fast intra mode decision for Versatile video coding. In: IEEE Transactions on Circuits and Systems for Video Technology (2019)

    Google Scholar 

  17. VTM-4.2. https://vcgit.hhi.fraunhofer.de/jvet/VVCSoftware_VTM/tree/VTM-4.2

  18. Bjontegaard, G.: Calculation of average PSNR differences between RD curves, document VCEG-M33. Texas, USA (2001)

    Google Scholar 

Download references

Acknowledgments

This work is supported by Key R&D Program of Guangdong Province (No. 2019B010135002).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fan Liang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Cao, J., Tang, N., Wang, J., Liang, F. (2020). Texture-Based Fast CU Size Decision and Intra Mode Decision Algorithm for VVC. In: Ro, Y., et al. MultiMedia Modeling. MMM 2020. Lecture Notes in Computer Science(), vol 11961. Springer, Cham. https://doi.org/10.1007/978-3-030-37731-1_60

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-37731-1_60

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37730-4

  • Online ISBN: 978-3-030-37731-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics