Name
Title | ||
|---|---|---|
Full-Reference SSIM Metric for Video Quality Assessment with Saliency-Based Features. |
Abstract | ||
|---|---|---|
This paper uses models of visual attention in order to estimate the human visual perception and thus improve metrics of Video Quality Assessment. This work reports on the use of the saliency based model in a full-reference structural similarity metric for creating new metrics that take into account regions that greatly attract the human attention. Correlation results with the differential mean opinion score values from the LIVE Video Quality Database are presented and discussed. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-23222-5_66 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
Video quality assessment,Salient model,Human visual system | Differential mean opinion score,Computer vision,Pattern recognition,Human visual system model,Salience (neuroscience),Computer science,Subjective video quality,Structural similarity,Visual attention,Correlation,Artificial intelligence,Video quality | Conference |
Volume | ISSN | Citations |
9281 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 6 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eduardo Romani | 1 | 0 | 0.34 |
| Wyllian Bezerra da Silva | 2 | 0 | 0.34 |
| Keiko V. Ono Fonseca | 3 | 12 | 7.48 |
| Dubravko Culibrk | 4 | 279 | 20.02 |
| Alexandre de A. Prado Pohl | 5 | 1 | 4.76 |