The accuracy of PSNR in predicting video quality for different video scenes and frame rates
@article{HuynhThu2012TheAO, title={The accuracy of PSNR in predicting video quality for different video scenes and frame rates}, author={Q. Huynh-Thu and M. Ghanbari}, journal={Telecommunication Systems}, year={2012}, volume={49}, pages={35-48} }
Peak Signal-to-Noise Ratio (PSNR) is widely used as a video quality metric or performance indicator. Some studies have indicated that it correlates poorly with subjective quality, whilst others have used it on the basis that it provides a good correlation with subjective data. Existing literature seems to provide conflicting evidence of the accuracy of PSNR as a video quality metric. Based on experimental results, we explain a scenario where PSNR provides a reliable indication of the variation… CONTINUE READING
Topics from this paper
97 Citations
Investigating the PSNR calculation methods for video sequences with source and channel distortions
- Computer Science
- 2014 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting
- 2014
- 11
Subjective video quality prediction based on objective video quality metrics
- Computer Science
- 2018 4th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS)
- 2018
A Content-Adaptive Distortion–Quantization Model for H.264/AVC and its Applications
- Mathematics, Computer Science
- IEEE Transactions on Circuits and Systems for Video Technology
- 2014
- 10
Perceptual rate distortion optimization of 3D–HEVC using PSNR-HVS
- Computer Science
- Multimedia Tools and Applications
- 2017
- 7
A Proposal of Prediction of Peak-Signal-to-Noise-Ratio based on QoS Networks
- Computer Science
- ICWMC 2013
- 2013
Network-status aware quality adaptation algorithm for improving real-time video streaming over the internet
- Computer Science
- Multimedia Tools and Applications
- 2016
- 4
Intelligent and Selective Video Frames Discarding Policies for Improving Video Quality over Wired/Wireless Networks
- Computer Science
- 2013 IEEE International Symposium on Multimedia
- 2013
- 10
About the imperfection of objective quality metrics on high-definition video content
- Computer Science
- 2013 IEEE 15th International Workshop on Multimedia Signal Processing (MMSP)
- 2013
- 4
Performance Analysis of Video Magnification Methods
- Computer Science
- 2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT)
- 2020
References
SHOWING 1-10 OF 17 REFERENCES
Video Quality Metric for Bit Rate Control via Joint Adjustment of Quantization and Frame Rate
- Computer Science
- IEEE Transactions on Broadcasting
- 2007
- 100
An analysis of subjective quality in low bit rate video
- Computer Science
- Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)
- 2001
- 36
- PDF
A method of estimating coding PSNR using quantized DCT coefficients
- Computer Science
- IEEE Transactions on Circuits and Systems for Video Technology
- 2006
- 101
No-Reference Estimation of the Coding PSNR for H.264-Coded Sequences
- Mathematics, Computer Science
- IEEE Transactions on Consumer Electronics
- 2007
- 88
A generic method to increase the prediction accuracy of visual quality metrics
- Computer Science
- PCS 2007
- 2007
- 22
- PDF
Quality assessment for H.264 coded low-rate and low-resolution video sequences
- Computer Science
- Communications, Internet, and Information Technology
- 2004
- 36
- PDF
Why is image quality assessment so difficult?
- Computer Science
- 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing
- 2002
- 787
- PDF
Constrained bit-rate control for very low bit-rate streaming-video applications
- Computer Science
- IEEE Trans. Circuits Syst. Video Technol.
- 2001
- 45