Predicting full-reference video quality measures using HEVC bitstream-based no-reference features
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7128763/7148077/07148118.pdf?arnumber=7148118
Cited by 8 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. A Novel Video Quality Evaluation Method Based on Coarse-to-fine Strategy in Traffic Scenario;2022 International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM);2022-08
2. LSB-based pre-embedding video steganography with rotating & shifting poly-pattern block matrix;PeerJ Computer Science;2022-01-06
3. Neural network solution for a real-time no-reference video quality assessment of H.264/AVC video bitstreams;Multimedia Tools and Applications;2021-10-27
4. How to Train No Reference Video Quality Measures for New Coding Standards using Existing Annotated Datasets?;2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP);2021-10-06
5. Unsupervised deep learning for real-time assessment of video streaming services;Multimedia Tools and Applications;2017-05-31
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