A Machine Learning Approach for Fast CU Partitioning and Time Complexity Reduction in Video Coding-Reference-Cited by-同舟云学术

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A Machine Learning Approach for Fast CU Partitioning and Time Complexity Reduction in Video Coding

Published:2021-12-17 Issue: Volume: Page:
ISSN:
Container-title:2021 5th International Conference on Electrical Information and Communication Technology (EICT)
language:
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Author:

Islam Md. Zahirul¹,Ahmed Boshir¹

Affiliation:

1. Rajshahi University of Engineering & Technology,Department of Computer Science & Engineering,Rajshahi,Bangladesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9733402/9733430/09733593.pdf?arnumber=9733593

Reference25 articles.

1. Editorial: Introduction to the Issue on Deep Learning for Image/Video Restoration and Compression

2. Learned Fast HEVC Intra Coding

3. Iterative Training of Neural Networks for Intra Prediction

4. CtuNet: A Deep Learning-based Framework for Fast CTU Partitioning of H265/HEVC Intra- coding

5. Fast CU split decisions for HEVC inter coding using support vector machines

Cited by 3 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. Time Complexity Reduction of CU Splitting in HEVC Intra Coding Using Zerocross Edge Detection Method;2023 26th International Conference on Computer and Information Technology (ICCIT);2023-12-13

2. Fast CTU Splitting Using Edge Detection in Video Coding;2023 6th International Conference on Electrical Information and Communication Technology (EICT);2023-12-07

3. FSVM- and DAG-SVM-Based Fast CU-Partitioning Algorithm for VVC Intra-Coding;Symmetry;2023-05-12

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