Name
Abstract | ||
|---|---|---|
Quality of Experience of multimedia content is investigated to understand the overall acceptability of the content as perceived by the end user. Recent perspectives stress the need to focus not only on perceptual aspects of the content but also on the interaction between perception and cognitive–emotional aspects. Our contribution lies on this direction by presenting a contactless approach to estimate heart rate variability by evaluating face skin color variations in a video sequence. The proposed framework allows to analyze long video sequences depicting a subject and it is robust with respect to small movements and illumination changes. The system is validated on a dataset of 64 sequences where users observe 3D movies selected to induce heart rate variations. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.image.2019.07.004 | Signal Processing: Image Communication |
Keywords | Field | DocType |
Heart rate estimation,Heart rate variability,3D video,Quality of experience | Computer vision,End user,Computer science,Heart rate variability,Human–computer interaction,Quality of experience,Artificial intelligence,Heart rate,Perception | Journal |
Volume | ISSN | Citations |
78 | 0923-5965 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mattia Bonomi | 1 | 0 | 0.68 |
| Federica Battisti | 2 | 293 | 25.35 |
| Giulia Boato | 3 | 373 | 40.80 |
| Miguel Barreda-Ángeles | 4 | 30 | 6.46 |
| Marco Carli | 5 | 252 | 28.85 |
| Patrick Le Callet | 6 | 1252 | 111.66 |