AV+ EC 2015--the first affect recognition challenge bridging across audio, video, and physiological data
We present the first Audio-Visual+ Emotion recognition Challenge and workshop (AV+EC 2015) aimed at comparison of multimedia processing and machine learning methods for automatic audio, visual and physiological emotion analysis. This is the 5th event in the AVEC series, but the very first Challenge...
| Main Authors: | , , , , , , , |
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| Format: | Conference or Workshop Item |
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2015
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| Online Access: | https://eprints.nottingham.ac.uk/31305/ |
| _version_ | 1848794172730900480 |
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| author | Ringeval, Fabien Schuller, Björn Valstar, Michel Jaiswal, Shashank Marchi, Erik Lalanne, Denis Cowie, Roddy Pantic, Maja |
| author_facet | Ringeval, Fabien Schuller, Björn Valstar, Michel Jaiswal, Shashank Marchi, Erik Lalanne, Denis Cowie, Roddy Pantic, Maja |
| author_sort | Ringeval, Fabien |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | We present the first Audio-Visual+ Emotion recognition Challenge and workshop (AV+EC 2015) aimed at comparison of multimedia processing and machine learning methods for automatic audio, visual and physiological emotion analysis. This is the 5th event in the AVEC series, but the very first Challenge that bridges across audio, video and physiological data. The goal of the Challenge is to provide a common benchmark test set for multimodal information processing and to bring together the audio, video and physiological emotion recognition communities, to compare the relative merits of the three approaches to emotion recognition under well-defined and strictly comparable conditions and establish to what extent fusion of the approaches is possible and beneficial. This paper presents the challenge, the dataset and the performance of the baseline system. |
| first_indexed | 2025-11-14T19:11:58Z |
| format | Conference or Workshop Item |
| id | nottingham-31305 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:11:58Z |
| publishDate | 2015 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-313052020-05-04T20:11:48Z https://eprints.nottingham.ac.uk/31305/ AV+ EC 2015--the first affect recognition challenge bridging across audio, video, and physiological data Ringeval, Fabien Schuller, Björn Valstar, Michel Jaiswal, Shashank Marchi, Erik Lalanne, Denis Cowie, Roddy Pantic, Maja We present the first Audio-Visual+ Emotion recognition Challenge and workshop (AV+EC 2015) aimed at comparison of multimedia processing and machine learning methods for automatic audio, visual and physiological emotion analysis. This is the 5th event in the AVEC series, but the very first Challenge that bridges across audio, video and physiological data. The goal of the Challenge is to provide a common benchmark test set for multimodal information processing and to bring together the audio, video and physiological emotion recognition communities, to compare the relative merits of the three approaches to emotion recognition under well-defined and strictly comparable conditions and establish to what extent fusion of the approaches is possible and beneficial. This paper presents the challenge, the dataset and the performance of the baseline system. 2015 Conference or Workshop Item PeerReviewed Ringeval, Fabien, Schuller, Björn, Valstar, Michel, Jaiswal, Shashank, Marchi, Erik, Lalanne, Denis, Cowie, Roddy and Pantic, Maja (2015) AV+ EC 2015--the first affect recognition challenge bridging across audio, video, and physiological data. In: 5th International Workshop on Audio/Visual Emotion Challenge (AVEC), 26-30 October 2015, Brisbane, Australia. affective computing emotion recognition speech facial expression physiological signals challenge http://dl.acm.org/citation.cfm?doid=2808196.2811642 |
| spellingShingle | affective computing emotion recognition speech facial expression physiological signals challenge Ringeval, Fabien Schuller, Björn Valstar, Michel Jaiswal, Shashank Marchi, Erik Lalanne, Denis Cowie, Roddy Pantic, Maja AV+ EC 2015--the first affect recognition challenge bridging across audio, video, and physiological data |
| title | AV+ EC 2015--the first affect recognition challenge bridging across audio, video, and physiological data |
| title_full | AV+ EC 2015--the first affect recognition challenge bridging across audio, video, and physiological data |
| title_fullStr | AV+ EC 2015--the first affect recognition challenge bridging across audio, video, and physiological data |
| title_full_unstemmed | AV+ EC 2015--the first affect recognition challenge bridging across audio, video, and physiological data |
| title_short | AV+ EC 2015--the first affect recognition challenge bridging across audio, video, and physiological data |
| title_sort | av+ ec 2015--the first affect recognition challenge bridging across audio, video, and physiological data |
| topic | affective computing emotion recognition speech facial expression physiological signals challenge |
| url | https://eprints.nottingham.ac.uk/31305/ https://eprints.nottingham.ac.uk/31305/ |