HEVC coding unit decision based on 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/s11760-021-02086-y.pdf
Reference20 articles.
1. Sullivan, G.J., Ohm, J.R., Han, W.-J., et al.: Overview of the high efficiency video coding (HEVC) standard. IEEE Trans. Circuits Syst. Video Technol. 22(12), 1649–1668 (2012)
2. Wiegand, T., Sullivan, G.J., Bjontegaard, G., et al.: Overview of the H. 264/AVC video coding standard. IEEE Trans. Circuits Syst. Video Technol. 13(7), 560–576 (2003)
3. Bossen, F., Bross, B., Suhring, K., et al.: HEVC complexity and implementation analysis. IEEE Trans. Circuits Syst. Video Technol. 22(12), 1685–1696 (2012)
4. Cebrian-Marquez, G., Martínez, J.L., Cuenca, P.: Adaptive inter CU partitioning based on a look-ahead stage for HEVC. Signal Process. Image Commun. 76, 97–108 (2019)
5. Wang, S., Luo, F., Ma, S., et al.: Low complexity encoder optimization for HEVC. J. Vis. Commun. Image Represent. 35, 120–131 (2016)
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1. KSVM-Based Fast Intra Mode Prediction in HEVC Using Statistical Features and Sparse Autoencoder;IEEE Access;2024
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