A parametric model for perceptual video quality estimation
| Autor: | J. Carlos López Ardao, Jose Joskowicz |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Computer science
business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Video processing Video quality Scalable Video Coding Video compression picture types Rate–distortion optimization Computer vision Artificial intelligence Electrical and Electronic Engineering PEVQ business Subjective video quality Block-matching algorithm |
| Zdroj: | Telecommunication Systems. 49:49-62 |
| ISSN: | 1572-9451 1018-4864 |
| DOI: | 10.1007/s11235-010-9352-9 |
| Popis: | In this paper, a parametric model is proposed which provides estimation for the perceived quality of video, coded with different codecs, at any bit rate and display format. The video quality metric used is one of the standardized Full Reference models in Recommendations ITU-T J.144 and ITU-R BT.1683. The proposed model is based on the video quality estimation described in Recommendation ITU-T G.1070, but incorporates different enhancements, allowing a much better estimation of the perceptual MOS values, especially in low bit rate ranges. The error obtained with the proposed model, regarding to the ITU models, is between the ITU algorithms error margins, according to the subjective tests developed by the VQEG. Studies were made for more than 1500 processed video clips, coded in MPEG-2 and H.264/AVC, in bit rate ranges from 50 kb/s to 12 Mb/s, in SD, VGA, CIF and QCIF display formats. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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