A fast H.266/QTMT intra coding scheme based on predictions of learned models-Reference-Cited by-同舟云学术

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A fast H.266/QTMT intra coding scheme based on predictions of learned models

Published:2024-07-19 Issue:6 Volume:47 Page:703-718
ISSN:0253-3839
Container-title:Journal of the Chinese Institute of Engineers
language:en
Short-container-title:Journal of the Chinese Institute of Engineers

Author:

Chen Jiann-Jone¹,Huang Yu-Huan¹,Yu Han-Yen²,Tsai Yao-Hong³

Affiliation:

1. Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan

2. Industrial Talent Training, Institute Technology Research Institute, Taipei, Taiwan

3. Department of Information Management, Hsuan Chuang University, Hsinchu, Taiwan

Funder

the Taiwan NSTC project

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/02533839.2024.2368463

Reference38 articles.

1. Abadi, M., P. Barham, J. Chen, Z. Chen, A. Davis, J. Dean, M. Devin, et al. 2016. “TensorFlow: A System for Large-Scale Machine Learning.” In Proceedings of the 12th USENIX Conference on Operating Systems Design and Implementation, Savannah, GA, USA, 2–4 November, 2016. 265–283. New York: ACM Digital Library.

2. VVC Complexity and Software Implementation Analysis

3. Fast QTMT Partition Decision Algorithm in VVC Intra Coding based on Variance and Gradient

4. Fast CU Splitting and Pruning for Suboptimal CU Partitioning in HEVC Intra Coding

5. Low-Complexity Intra Coding in Versatile Video Coding

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