Name
Abstract | ||
|---|---|---|
Recently, there is an increasing tendency to embed functionalities for recognizing emotions from user-generated media content in automated systems such as call-centre operations, recommendations, and assistive technologies, providing richer and more informative user and content profiles. However, to date, adding these functionalities was a tedious, costly, and time-consuming effort, requiring iden... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TMM.2018.2798287 | IEEE Transactions on Multimedia |
Keywords | Field | DocType |
Emotion recognition,Tools,Standards,Speech,Open source software,Media,Text recognition | Computer vision,Video processing,Computer science,Toolbox,Linked data,Pose,Human–computer interaction,Artificial intelligence,Face detection,Affective computing,Audio signal processing,Text processing | Journal |
Volume | Issue | ISSN |
20 | 9 | 1520-9210 |
Citations | PageRank | References |
1 | 0.37 | 0 |
Authors | ||
26 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paul Buitelaar | 1 | 994 | 121.79 |
| Ian Wood | 2 | 9 | 3.21 |
| Sapna Negi | 3 | 1 | 0.70 |
| Mihael Arcan | 4 | 39 | 18.17 |
| John Philip McCrae | 5 | 79 | 24.81 |
| Andrejs Abele | 6 | 1 | 0.70 |
| Cécile Robin | 7 | 1 | 0.37 |
| Vladimir Andryushechkin | 8 | 1 | 0.37 |
| Housam Ziad | 9 | 10 | 1.68 |
| Hesam Sagha | 10 | 268 | 15.92 |
| Maximilian Schmitt | 11 | 129 | 16.34 |
| Björn Schuller | 12 | 6749 | 463.50 |
| J. Fernando Sánchez-Rada | 13 | 79 | 8.76 |
| Carlos Á. Iglesias | 14 | 231 | 30.23 |
| Carlos Navarro | 15 | 1 | 0.37 |
| Andreas Giefer | 16 | 1 | 0.37 |
| Nicolaus Heise | 17 | 4 | 1.89 |
| Vincenzo Masucci | 18 | 1 | 0.37 |
| Francesco A. Danza | 19 | 1 | 0.37 |
| Ciro Caterino | 20 | 1 | 0.37 |
| Pavel Smrž | 21 | 38 | 6.71 |
| Michal Hradis | 22 | 132 | 14.19 |
| Filip Povolný | 23 | 7 | 0.82 |
| Marek Klimes | 24 | 1 | 0.37 |
| Petr Schwarz | 25 | 991 | 69.47 |
| Giovanni Tummarello | 26 | 1 | 0.37 |