New spatiotemporal method for assessing video quality
| Autor: | David B. L. Bong, Woei Tan Loh |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computational complexity theory
Image quality business.industry Computer science media_common.quotation_subject Visibility (geometry) Frame (networking) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Video quality Computer Science Applications Computer vision Quality (business) Computer Vision and Pattern Recognition Artificial intelligence business media_common |
| Zdroj: | International Journal of Computational Vision and Robotics. 8:336 |
| ISSN: | 1752-914X 1752-9131 |
| DOI: | 10.1504/ijcvr.2018.10014146 |
| Popis: | The existence of temporal effects and temporal distortions in a video differentiate the way it is assessed from an image. Temporal effects and distortions can enhance or depress the visibility of spatial effects in a video. Thus, the temporal part of videos plays a significant role in determining the video quality. In this study, a spatiotemporal video quality assessment (VQA) method is proposed due to the importance of temporal effects and distortions in assessing video quality. Instead of measuring the frame quality on a frame basis, the quality of several averaged frames is measured. The proposed spatiotemporal VQA method is significantly improved compared with image quality assessment (IQA) methods applied on a frame basis. When combined with IQA methods, the proposed spatiotemporal VQA method has comparable performance with state-of-the-art VQA methods. The computational complexity of the proposed temporal method is also lower when compared with current VQA methods. |
| Databáze: | OpenAIRE |
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