An efficient low-complexity block partition scheme for VVC intra coding

Author:

Song Yun,Zeng Biao,Wang MiaohuiORCID,Deng Zelin

Funder

national natural science foundation of china

Publisher

Springer Science and Business Media LLC

Subject

Information Systems

Reference38 articles.

1. JVET Group: VVC Reference Software. [online] https://vcgit.hhi.fraunhofer.de/jvet/ VVCSoftware_VTM/-/tags/VTM-6.3 (2019)

2. Amestoy, T., Mercat, A., Hamidouche, W., Menard, D., Bergeron, C.: Tunable VVC frame partitioning based on lightweight machine learning. IEEE Trans. Image Process. 29, 1313–1328 (2019)

3. Bakkouri, S., Elyousfi, A.: Machine learning-based fast cu size decision algorithm for 3D-hevc inter-coding. Springer J. Real-Time Image Process. 18(3), 983–995 (2021)

4. Bjøntegaard, G.: Calculation of average PSNR differences between RD-curves. In: Proceedings of the VCEG-M33, p 1–4 (2001)

5. Bossen, F., Boyce, J., Suehring, K., Li, X., Seregin, V.: JVET common test conditions and software reference configurations. In: Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29/WG 11 11th Meeting, p 1–6 (2018)

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