AVEC 2017--Real-life depression, and affect recognition workshop and challenge
The Audio/Visual Emotion Challenge and Workshop (AVEC 2017) “Real-life depression, and affect” will be the seventh competition event aimed at comparison of multimedia processing and machine learning methods for automatic audiovisual depression and emotion analysis, with all participants competing un...
| Main Authors: | , , , , , , , , , |
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| Format: | Conference or Workshop Item |
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2017
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| Online Access: | https://eprints.nottingham.ac.uk/45489/ |
| _version_ | 1848797141254799360 |
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| author | Ringeval, Fabien Schuller, Björn Valstar, Michel Gratch, Jonathan Cowie, Roddy Scherer, Stefan Mozgai, Sharon Cummins, Nicholas Schmitt, Maximilian Pantic, Maja |
| author_facet | Ringeval, Fabien Schuller, Björn Valstar, Michel Gratch, Jonathan Cowie, Roddy Scherer, Stefan Mozgai, Sharon Cummins, Nicholas Schmitt, Maximilian Pantic, Maja |
| author_sort | Ringeval, Fabien |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | The Audio/Visual Emotion Challenge and Workshop (AVEC 2017) “Real-life depression, and affect” will be the seventh competition event aimed at comparison of multimedia processing and machine learning methods for automatic audiovisual depression and emotion analysis, with all participants competing under strictly the same conditions. .e goal of the Challenge is to provide a common benchmark test set for multimodal information processing and to bring together the depression and emotion recognition communities, as well as the audiovisual processing communities, to compare the relative merits of the various approaches to depression and emotion recognition from real-life data. .is paper presents the novelties introduced this year, the challenge guidelines, the data used, and the performance of the baseline system on the two proposed tasks: dimensional emotion recognition (time and value-continuous), and dimensional depression estimation (value-continuous). |
| first_indexed | 2025-11-14T19:59:09Z |
| format | Conference or Workshop Item |
| id | nottingham-45489 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:59:09Z |
| publishDate | 2017 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-454892020-05-04T19:13:37Z https://eprints.nottingham.ac.uk/45489/ AVEC 2017--Real-life depression, and affect recognition workshop and challenge Ringeval, Fabien Schuller, Björn Valstar, Michel Gratch, Jonathan Cowie, Roddy Scherer, Stefan Mozgai, Sharon Cummins, Nicholas Schmitt, Maximilian Pantic, Maja The Audio/Visual Emotion Challenge and Workshop (AVEC 2017) “Real-life depression, and affect” will be the seventh competition event aimed at comparison of multimedia processing and machine learning methods for automatic audiovisual depression and emotion analysis, with all participants competing under strictly the same conditions. .e goal of the Challenge is to provide a common benchmark test set for multimodal information processing and to bring together the depression and emotion recognition communities, as well as the audiovisual processing communities, to compare the relative merits of the various approaches to depression and emotion recognition from real-life data. .is paper presents the novelties introduced this year, the challenge guidelines, the data used, and the performance of the baseline system on the two proposed tasks: dimensional emotion recognition (time and value-continuous), and dimensional depression estimation (value-continuous). 2017-10-23 Conference or Workshop Item PeerReviewed Ringeval, Fabien, Schuller, Björn, Valstar, Michel, Gratch, Jonathan, Cowie, Roddy, Scherer, Stefan, Mozgai, Sharon, Cummins, Nicholas, Schmitt, Maximilian and Pantic, Maja (2017) AVEC 2017--Real-life depression, and affect recognition workshop and challenge. In: 7th Audio/Visual Emotion Challenge and Workshop, 23 October 2017, Mountain View, California, USA. Affective Computing; Social Signal Processing; Automatic Emotion/Depression Recognition |
| spellingShingle | Affective Computing; Social Signal Processing; Automatic Emotion/Depression Recognition Ringeval, Fabien Schuller, Björn Valstar, Michel Gratch, Jonathan Cowie, Roddy Scherer, Stefan Mozgai, Sharon Cummins, Nicholas Schmitt, Maximilian Pantic, Maja AVEC 2017--Real-life depression, and affect recognition workshop and challenge |
| title | AVEC 2017--Real-life depression, and affect recognition workshop and challenge |
| title_full | AVEC 2017--Real-life depression, and affect recognition workshop and challenge |
| title_fullStr | AVEC 2017--Real-life depression, and affect recognition workshop and challenge |
| title_full_unstemmed | AVEC 2017--Real-life depression, and affect recognition workshop and challenge |
| title_short | AVEC 2017--Real-life depression, and affect recognition workshop and challenge |
| title_sort | avec 2017--real-life depression, and affect recognition workshop and challenge |
| topic | Affective Computing; Social Signal Processing; Automatic Emotion/Depression Recognition |
| url | https://eprints.nottingham.ac.uk/45489/ |