Fast multi-type tree partitioning for versatile video coding using machine learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s11760-022-02204-4.pdf
Reference23 articles.
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3. Amna, M., Imen, W., Ezahra, S.F., et al.: Fast intra-coding unit partition decision in H. 266/FVC based on deep learning. J. Real Time Image Process. 17(6), 1971–1981 (2020)
4. Jin, Z., An, P., Yang, C., et al.: Fast QTBT partition algorithm for intra frame coding through convolutional neural network. IEEE Access 6, 54660–54673 (2018)
5. Yang, H., Shen, L., Dong, X., et al.: Low-complexity CTU partition structure decision and fast intra mode decision for versatile video coding. IEEE Trans. Circuits Syst. Video Technol. 30(6), 1668–1682 (2019)
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