Motion-aware video quality assessment
| Autor: | Marina Georgia Arvanitidou, Thomas Sikora |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Image quality
business.industry Computer science Distortion (optics) Work (physics) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020206 networking & telecommunications 02 engineering and technology Machine learning computer.software_genre Video quality Motion (physics) Visualization Distortion 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence Dimension (data warehouse) business computer |
| Zdroj: | ACSSC |
| DOI: | 10.1109/acssc.2017.8335727 |
| Popis: | This work focuses on considering motion towards improving video quality assessment algorithms. The improvement refers to improving computational video quality assessment algorithms in order to be in closer agreement with the subjective evaluation of video quality. We propose a motion saliency model that exploits motion features on spatial level and also an approach for consideration of global motion in the temporal dimension, leading to further improvements in the accuracy of video quality assessment. We perform evaluation by integrating our approaches in existing objective quality models and also by comparing them to existing related state-of-the-art video quality assessment methods. |
| Databáze: | OpenAIRE |
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