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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fuzheng Yang Shuai Wan Yilin Chang Hong Ren Wu |
| Copyright Year | 1994 |
| Abstract | A novel objective no-reference metric is proposed for video quality assessment of digitally coded videos containing natural scenes. Taking account of the temporal dependency between adjacent images of the videos and characteristics of the human visual system, the spatial distortion of an image is predicted using the differences between the corresponding translational regions of high spatial complexity in two adjacent images, which are weighted according to temporal activities of the video. The overall video quality is measured by pooling the spatial distortions of all images in the video. Experiments using reconstructed video sequences indicate that the objective scores obtained by the proposed metric agree well with the subjective assessment scores. |
| Sponsorship | IEEE Signal Processing Society |
| Starting Page | 685 |
| Ending Page | 688 |
| Page Count | 4 |
| File Size | 147552 |
| File Format | |
| ISSN | 10709908 |
| Volume Number | 12 |
| Issue Number | 10 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-10-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Quality assessment Video compression Humans Visual system PSNR Distortion measurement Video sequences Layout Image reconstruction Wireless application protocol no-reference (NR) metrics Digital video quality assessment (VQA) human visual system (HVS) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Signal Processing Electrical and Electronic Engineering |
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