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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yin Zhao Lu Yu |
| Copyright Year | 2010 |
| Description | Author affiliation: Zhejiang University, Hangzhou, China, 310027 (Yin Zhao; Lu Yu) |
| Abstract | Human can only perceive video distortions beyond certain intensity. Temporal variations of suprathreshold noise in a video induce annoying temporal noise (e.g., flickering artifacts). Prior studies on full-reference video quality assessment (VQA) focused mainly on spatial quality of impaired videos, and ignored or underestimated the impact of temporal noise on visual quality degradation. According to some characteristics of human visual system, we consider temporal noise as the most salient distortion in impaired videos and it can greatly influence the perceived video quality. Thus, we propose a novel and simple full-reference metric that evaluates quality of impaired videos by measuring the energy of temporal noise in them. This metric shows competitive performance with some state-of-the-art objective models on the LIVE VQA database. |
| Starting Page | 708 |
| Ending Page | 712 |
| File Size | 693757 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424474912 |
| ISSN | 1945788X |
| e-ISBN | 9781424474936 |
| DOI | 10.1109/ICME.2010.5583002 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-19 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Noise Visualization Humans Quality assessment Noise measurement Databases Peak Signal to Temporal Noise Ratio Video quality assessment temporal noise full-reference metric |
| Content Type | Text |
| Resource Type | Article |
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