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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Soundararajan, R. Bovik, A. C. |
| Copyright Year | 1991 |
| Abstract | We present a family of reduced reference video quality assessment (QA) models that utilize spatial and temporal entropic differences. We adopt a hybrid approach of combining statistical models and perceptual principles to design QA algorithms. A Gaussian scale mixture model for the wavelet coefficients of frames and frame differences is used to measure the amount of spatial and temporal information differences between the reference and distorted videos, respectively. The spatial and temporal information differences are combined to obtain the spatio-temporal-reduced reference entropic differences. The algorithms are flexible in terms of the amount of side information required from the reference that can range between a single scalar per frame and the entire reference information. The spatio-temporal entropic differences are shown to correlate quite well with human judgments of quality, as demonstrated by experiments on the LIVE video quality assessment database. |
| Sponsorship | IEEE Circuits and Systems Society |
| Starting Page | 684 |
| Ending Page | 694 |
| Page Count | 11 |
| File Size | 4844821 |
| File Format | |
| ISSN | 10518215 |
| Volume Number | 23 |
| Issue Number | 4 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-04-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Entropy Video recording Quality assessment GSM Indexes Humans reduced reference video quality assessment human visual system motion information natural video statistics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Media Technology |
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