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No-reference Perceptual Quality Metric for H . 264 / Avc Encoded Video
| Content Provider | Semantic Scholar |
|---|---|
| Author | Brand̃ao, Toḿas Queluz, Maria Paula |
| Copyright Year | 2009 |
| Abstract | This paper extends a no-reference PSNR algorithm, previously derived by the authors, by incorporating a spatiotemporal model of the human visual system (HVS). Video errors due the H.264/AVC encoding process are firstly estimated using the received DCT coefficients and the corresponding quantization steps. In order to obtain a metric for the visible video distortion, the estimated errors are then weighted using an HVS model based on the spatio-temporal contrast sensitivity function derived by Kelly and Daly. Th e video related inputs for the perceptual model are the motion vectors and the frame rate, which are also extracted from the received encoded video. In order to validate the results , a set of video sequences that span a wide range of content have been encoded at different bitrates and their quality ha s been subjectively assessed. Results show that the quality scores computed by the proposed metric are well correlated with the mean opinion scores resulting from the subjective assessment. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://amalia.img.lx.it.pt/~tgsb/H264_test/papers/tb_mpq_vpqm2010.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
