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Machine learning based fast H.264/AVC to HEVC transcoding exploiting block partition similarity

  • Published:2016-07 Issue: Volume:38 Page:824-837
  • ISSN:1047-3203
  • Container-title:Journal of Visual Communication and Image Representation
  • language:en
  • Short-container-title:Journal of Visual Communication and Image Representation

Author:

Zhu Linwei,Zhang Yun,Li Na,Jiang Gangyi,Kwong Sam

Funder

National Natural Science Foundation of China

Shenzhen Overseas High-Caliber Personnel Innovation and Entrepreneurship Project

Guangdong Special Support Program for Youth Science and Technology Innovation Talents

National High-tech R&D Program of China

Zhejiang Provincial Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Media Technology,Signal Processing

Reference30 articles.

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning-based fast transcoding for low-power video communication in Internet of Things;Signal, Image and Video Processing;2022-03-27

2. Fast Rules to Speedup HEVC to VVC Transcoding;25th Pan-Hellenic Conference on Informatics;2021-11-26

3. Low complexity high efficiency coding of light fields using ensemble classifiers;Journal of Visual Communication and Image Representation;2020-01

4. Fast H.264 to HEVC Transcoding: A Deep Learning Method;IEEE Transactions on Multimedia;2019-07

5. Reinforcement learning based coding unit early termination algorithm for high efficiency video coding;Journal of Visual Communication and Image Representation;2019-04
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