Efficient Partition Decision Based on Visual Perception and Machine Learning for H.266/Versatile Video Coding

Author:

Chen Mei-Juan1ORCID,Lee Cheng-An1,Tsai Yu-Hsiang1,Yang Chieh-Ming1,Yeh Chia-Hung2ORCID,Kau Lih-Jen3ORCID,Chang Chuan-Yu4ORCID

Affiliation:

1. Department of Electrical Engineering, National Dong Hwa University, Hualien, Taiwan

2. Department of Electrical Engineering, National Taiwan Normal University, Taipei, Taiwan

3. Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan

4. Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, Yunlin, Taiwan

Funder

Ministry of Science and Technology, Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 15 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. Efficient inter partitioning of versatile video coding based on supervised contrastive learning;Knowledge-Based Systems;2024-07

2. A Genetic Approach-Based Intra Coding Algorithm for H.266/VVC;Informatics and Automation;2024-05-28

3. Fast CU size decision and intra-prediction mode decision method for H.266/VVC;EURASIP Journal on Image and Video Processing;2024-03-18

4. Small Object-Aware Video Coding for Machines via Feature-Motion Synergy;IEEE Geoscience and Remote Sensing Letters;2024

5. Adaptive Video Coding Framework with Spatial-Temporal Fusion for Optimized Streaming in Next-Generation Networks;Intelligent Communication and Computing for Next Generation Wireless Communication Networks;2023-12-30

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