A general parametric model for perceptual video quality estimation
| Autor: | Jose Joskowicz, J. Carlos López Ardao |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Video Graphics Array
Computer science business.industry Speech recognition ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION computer.file_format Smacker video Video quality Sum of absolute differences Rate–distortion optimization MPEG-2 Parametric model Codec Computer vision Artificial intelligence business computer |
| Zdroj: | 2010 IEEE International Workshop Technical Committee on Communications Quality and Reliability (CQR 2010). |
| DOI: | 10.1109/cqr.2010.5619912 |
| Popis: | In this paper a general 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 proposed model takes into account video content, using an objective estimation of the spatial-temporal activity, based on the average SAD (Sum of Absolute Differences) for the clip. Studies were made for more than 2000 processed video clips, coded in MPEG-2 and H.264/AVC, in bit rate ranges from 25 kb/s to 12 Mb/s, in SD, VGA, CIF and QCIF display formats. The results shows that the proposed model fits very well to the perceived video quality, in any combination of codec, bit rate and display format. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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