Conference paper
No-Reference Video Quality Assessment using MPEG Analysis
We present a method for No-Reference (NR) Video Quality Assessment (VQA) for decoded video without access to the bitstream. This is achieved by extracting and pooling features from a NR image quality assessment method used frame by frame. We also present methods to identify the video coding and estimate the video coding parameters for MPEG-2 and H.264/AVC which can be used to improve the VQA.
The analysis differs from most other video coding analysis methods since it is without access to the bitstream. The results show that our proposed method is competitive with other recent NR VQA methods for MPEG-2 and H.264/AVC.
Language: | English |
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Publisher: | IEEE |
Year: | 2013 |
Pages: | 161-164 |
Proceedings: | Picture Coding Symposium (PCS 2013) |
ISBN: | 1479902926 , 1479902934 , 1479902942 , 9781479902927 , 9781479902934 and 9781479902941 |
Types: | Conference paper |
DOI: | 10.1109/PCS.2013.6737708 |
ORCIDs: | Forchhammer, Søren |
Databases Estimation H.264/AVC H.264/AVC analysis MPEG analysis MPEG-2 MPEG-2 analysis NR image quality assessment method NR video quality assessment PSNR Quality assessment Quantization (signal) Transform coding VQA Video coding Video quality assessment no reference video quality assessment no-reference quantization estimation video coding video coding analysis methods video coding parameters video decoding