Saliency-Aware Spatio-Temporal Artifact Detection for Compressed Video Quality Assessment-Reference-Cited by-同舟云学术

Saliency-Aware Spatio-Temporal Artifact Detection for Compressed Video Quality Assessment

Published:2023 Issue: Volume:30 Page:693-697
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Lin Liqun¹^ORCID,Zheng Yang¹,Chen Weiling¹^ORCID,Lan Chengdong¹^ORCID,Zhao Tiesong¹

Affiliation:

1. Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information, College of Physics and Information Engineering, Fuzhou University, Fuzhou, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/97/10036333/10145763.pdf?arnumber=10145763

Reference37 articles.

1. Perceivable artifacts in compressed video and their relation to video quality

2. WCDGAN: Weakly Connected Dense Generative Adversarial Network for Artifact Removal of Highly Compressed Images

3. Attribute Artifacts Removal for Geometry-Based Point Cloud Compression

4. A Blind Color Separation Model for Faithful Palette-based Image Recoloring

Cited by 5 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. Multi-domain awareness for compressed deepfake videos detection over social networks guided by common mechanisms between artifacts;Computer Vision and Image Understanding;2024-10

2. ADS-VQA: Adaptive sampling model for video quality assessment;Displays;2024-09

3. FLAME-VQA: A Fuzzy Logic-Based Model for High Frame Rate Video Quality Assessment;Future Internet;2023-09-01

4. Blind Video Quality Assessment for Ultra-High-Definition Video Based on Super-Resolution and Deep Reinforcement Learning;Sensors;2023-01-29

5. Video Compression Artifacts Removal with Spatial-Temporal Attention-Guided Enhancement;IEEE Transactions on Multimedia;2023