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https://open.uns.ac.rs/handle/123456789/6589| Nаziv: | Full-reference SSIM metric for video quality assessment with saliency-based features | Аutоri: | Romani E. da Silva W. Fonseca K. Ćulibrk, Dubravko Pohl A. |
Dаtum izdаvаnjа: | 1-јан-2015 | Čаsоpis: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Sažetak: | © Springer International Publishing Switzerland 2015. 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 fullreference 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. | URI: | https://open.uns.ac.rs/handle/123456789/6589 | ISBN: | 9783319232218 | ISSN: | 3029743 | DOI: | 10.1007/978-3-319-23222-5_66 |
| Nаlаzi sе u kоlеkciјаmа: | FTN Publikacije/Publications |
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