Filters








246 Hits in 3.2 sec

Multimodal Emotion Recognition for AVEC 2016 Challenge

Filip Povolny, Pavel Matejka, Michal Hradis, Anna Popková, Lubomir Otrusina, Pavel Smrz, Ian Wood, Cecile Robin, Lori Lamel
2016 Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge - AVEC '16  
This paper describes a systems for emotion recognition and its application on the dataset from the AV+EC 2016 Emotion Recognition Challenge.  ...  Our multimodal fusion reached CCC=0.855 on dev set for arousal and 0.713 for valence. CCC on test set is 0.719 and 0.596 for arousal and valence respectively.  ...  INTRODUCTION This paper presents an emotion recognition system evaluated on the material defined within the Audio-Visual + Emotion Recognition Challenge (AV+EC 2016) 1 [25] .  ... 
doi:10.1145/2988257.2988268 dblp:conf/mm/PovolnyMHPOSWRL16 fatcat:vx36lkmagrf45dtb2jddntwqfi

Exploring Multimodal Visual Features for Continuous Affect Recognition

Bo Sun, Siming Cao, Liandong Li, Jun He, Lejun Yu
2016 Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge - AVEC '16  
This paper presents our work in the Emotion Sub-Challenge of the 6 th Audio/Visual Emotion Challenge and Workshop (AVEC 2016), whose goal is to explore utilizing audio, visual and physiological signals  ...  As visual features are very important in emotion recognition, we try a variety of handcrafted and deep visual features.  ...  [7] In this paper, we describe our work in the AVEC 2016 challenge. We mainly focus on dimensional emotion recognition from audio, visual and physiology modalities.  ... 
doi:10.1145/2988257.2988270 dblp:conf/mm/SunCLHY16 fatcat:cxxsk3jw4zhipgmovqmgnmnuz4

Summary for AVEC 2016

Michel Valstar, Jonathan Gratch, Björn Schuller, Fabien Ringeval, Roddy Cowie, Maja Pantic
2016 Proceedings of the 2016 ACM on Multimedia Conference - MM '16  
The sixth Audio-Visual Emotion Challenge and workshop AVEC 2016 was held in conjunction ACM Multimedia'16.  ...  This year the AVEC series addresses two distinct sub-challenges, multi-modal emotion recognition and audio-visual depression detection.  ...  Acknowledgments The challenge in general has been generously supported by the Association for the Advancement of Affective Computing (AAAC).  ... 
doi:10.1145/2964284.2980532 dblp:conf/mm/ValstarGSRCP16 fatcat:5rcflsmtkzbz5ibgzczzohhomm

AVEC 2016 - Depression, Mood, and Emotion Recognition Workshop and Challenge [article]

Michel Valstar, Jonathan Gratch, Bjorn Schuller, Fabien Ringeval, Denis Lalanne, Mercedes Torres Torres, Stefan Scherer, Guiota Stratou, Roddy Cowie, Maja Pantic
2016 arXiv   pre-print
The Audio/Visual Emotion Challenge and Workshop (AVEC 2016) "Depression, Mood and Emotion" will be the sixth competition event aimed at comparison of multimedia processing and machine learning methods  ...  The goal of the Challenge is to provide a common benchmark test set for multi-modal information processing and to bring together the depression and emotion recognition communities, as well as the audio  ...  AVEC 2016 will address emotion and depression recognition. The emotion recognition sub-challenge is a refined re-run of the AVEC 2015 challenge [27] , largely based on the same dataset.  ... 
arXiv:1605.01600v4 fatcat:j5bbsbjijzbgxh5zpclfksr4vu

End2You -- The Imperial Toolkit for Multimodal Profiling by End-to-End Learning [article]

Panagiotis Tzirakis, Stefanos Zafeiriou, Bjorn W. Schuller
2018 arXiv   pre-print
To test our toolkit, we utilise the RECOLA database as was used in the AVEC 2016 challenge.  ...  To our knowledge, this is the first toolkit that provides generic end-to-end learning for profiling capabilities in either unimodal or multimodal cases.  ...  Acknowledgments The authors would like to thank George Trigeorgis for his help in the beginning of this project.  ... 
arXiv:1802.01115v1 fatcat:hdmy3qezu5ckhcef47lbjquqk4

AVEC 2016

Michel Valstar, Maja Pantic, Jonathan Gratch, Björn Schuller, Fabien Ringeval, Dennis Lalanne, Mercedes Torres Torres, Stefan Scherer, Giota Stratou, Roddy Cowie
2016 Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge - AVEC '16  
AVEC 2016 will address emotion and depression recognition. The emotion recognition sub-challenge is a refined re-run of the AVEC 2015 challenge [27] , largely based on the same dataset.  ...  CONCLUSION We introduced AVEC 2016 -the third combined open Audio/Visual Emotion and Depression recognition Challenge.  ... 
doi:10.1145/2988257.2988258 dblp:conf/mm/ValstarGSRLTSSC16 fatcat:5slb4a7xvbf5bgqnkek244jhme

Multi-Modal Audio, Video and Physiological Sensor Learning for Continuous Emotion Prediction

Kevin Brady, Youngjune Gwon, Pooya Khorrami, Elizabeth Godoy, William Campbell, Charlie Dagli, Thomas S. Huang
2016 Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge - AVEC '16  
The Audio Video Emotion Challenge (AVEC) 2016 provides a well-defined framework for developing and rigorously evaluating innovative approaches for estimating the arousal and valence states of emotion as  ...  This paper provides an overview of our AVEC Emotion Challenge system, which uses multi-feature learning and fusion across all available modalities.  ...  MITLL-UIUC AVEC ARCHITECTURE An architectural overview for the channel-level processing of our emotion recognition system for AVEC 2016 is illustrated in Figure 1 .  ... 
doi:10.1145/2988257.2988264 dblp:conf/mm/BradyGKGCDH16 fatcat:l6ncvm2qibfthnoabp6poxkcuu

Continuous Multimodal Emotion Recognition Approach for AVEC 2017 [article]

Narotam Singh Indian Institute of Technology Ropar)
2017 arXiv   pre-print
This paper reports the analysis of audio and visual features in predicting the continuous emotion dimensions under the seventh Audio/Visual Emotion Challenge (AVEC 2017), which was done as part of a B.Tech  ...  We applied multimodal fusion on the output models to get the Concordance correlation coefficient on Development set as well as Test set.  ...  Teams which participated in AVEC 2016 competition [21] also used physiological features like the heart rate (HR), ECG signals, the skin conductance response (SCR), the skin conductance level (SCL), etc  ... 
arXiv:1709.05861v2 fatcat:2v7jtjjlfzempp6s4tbh4yrr7a

End-to-End Multimodal Emotion Recognition Using Deep Neural Networks

Panagiotis Tzirakis, George Trigeorgis, Mihalis A. Nicolaou, Bjorn W. Schuller, Stefanos Zafeiriou
2017 IEEE Journal on Selected Topics in Signal Processing  
the prediction of spontaneous and natural emotions on the RECOLA database of the AVEC 2016 research challenge on emotion recognition.  ...  Automatic affect recognition is a challenging task due to the various modalities emotions can be expressed with.  ...  the prediction of spontaneous and natural emotions on the RECOLA database of the AVEC 2016 research challenge on emotion recognition.  ... 
doi:10.1109/jstsp.2017.2764438 fatcat:xklci45igveoplg727vyis3rcu

Multimodal Analysis of Impressions and Personality in Human-Computer and Human-Robot Interactions

Hatice Gunes
2016 Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge - AVEC '16  
Personality traits such as extroversion, agreeableness, and openness to experience, are tightly coupled with human abilities and behaviour encountered in daily lives: emotional expression, success in interpersonal  ...  use nowadays, such as assistive technologies, embodied virtual agents, and social robots, lack the capability of understanding and predicting their human user's personality, and adapting appropriately for  ...  AVEC'16 October 16-16 2016, Amsterdam, Netherlands c 2016 Copyright held by the owner/author(s). DOI: http://dx.doi.org/10.1145/2988257.2988271 ACM ISBN 978-1-4503-4516-3/16/10.  ... 
doi:10.1145/2988257.2988271 dblp:conf/mm/Gunes16 fatcat:fxjigx6devbb7hxpo2kukvwidi

High-Level Geometry-based Features of Video Modality for Emotion Prediction

Raphaël Weber, Vincent Barrielle, Catherine Soladié, Renaud Séguier
2016 Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge - AVEC '16  
In this paper, we present our contribution to the 6th Audio/Visual Emotion Challenge (AVEC 2016), which aims at predicting the continuous emotional dimensions of arousal and valence.  ...  The automatic analysis of emotion remains a challenging task in unconstrained experimental conditions.  ...  results in the framework of the AVEC 2016 challenge and Section 5 concludes the paper.  ... 
doi:10.1145/2988257.2988262 dblp:conf/mm/WeberBSS16 fatcat:it7oo4m255dnzclilojq3pylxa

Online Affect Tracking with Multimodal Kalman Filters

Krishna Somandepalli, Rahul Gupta, Md Nasir, Brandon M. Booth, Sungbok Lee, Shrikanth S. Narayanan
2016 Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge - AVEC '16  
In this paper, we introduce a computational framework for tracking these affective dimensions from multimodal data as an entry to the Multimodal Affect Recognition Sub-Challenge of the 2016 Audio/Visual  ...  Emotion Challenge and Workshop (AVEC2016).  ...  The AVEC 2016 challenge uses the REmote COLlaborative and Affective interactions (RECOLA [6] ) dataset for the Multimodal Affect Recognition Sub-Challenge (MASC).  ... 
doi:10.1145/2988257.2988259 dblp:conf/mm/SomandepalliGNB16 fatcat:yyoh4rdo7fcobh5m5lw6qmvzzq

AVEC 2018 Workshop and Challenge

Fabien Ringeval, Adrien Michaud, Elvan Ciftçi, Hüseyin Güleç, Albert Ali Salah, Maja Pantic, Björn Schuller, Michel Valstar, Roddy Cowie, Heysem Kaya, Maximilian Schmitt, Shahin Amiriparian (+2 others)
2018 Proceedings of the 2018 on Audio/Visual Emotion Challenge and Workshop - AVEC'18  
The goal of the Challenge is to provide a common benchmark test set for multimodal information processing and to bring together the health and emotion recognition communities, as well as the audiovisual  ...  The Audio/Visual Emotion Challenge and Workshop (AVEC 2018) "Bipolar disorder, and cross-cultural affect recognition" is the eighth competition event aimed at the comparison of multimedia processing and  ...  AVEC 2018 is themed around two topics: bipolar disorder (for the first time in a challenge), and emotion recognition.  ... 
doi:10.1145/3266302.3266316 dblp:conf/mm/RingevalSVCKSAC18 fatcat:56rflyxnvfd3jlz2y4bici5du4

AVEC 2017

Fabien Ringeval, Maja Pantic, Björn Schuller, Michel Valstar, Jonathan Gratch, Roddy Cowie, Stefan Scherer, Sharon Mozgai, Nicholas Cummins, Maximilian Schmitt
2017 Proceedings of the 7th Annual Workshop on Audio/Visual Emotion Challenge - AVEC '17  
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  ...  e Audio/Visual Emotion Challenge and Workshop (AVEC 2017) "Real-life depression, and a ect" will be the seventh competition event aimed at comparison of multimedia processing and machine learning methods  ...  ) emotional dimensions: arousal and valence. e Depression Sub-Challenge (DSC) is a re ned rerun of the AVEC 2016 challenge [29] , based on the DAIC-WOZ data set [10] , and involving human-agent interactions  ... 
doi:10.1145/3133944.3133953 dblp:conf/mm/RingevalSVGCSMC17 fatcat:6fv37g4unvg3dfpokhet33h24e

Incomplete Cholesky Decomposition based Kernel Cross Modal Factor Analysis for Audiovisual Continuous Dimensional Emotion Recognition

2019 KSII Transactions on Internet and Information Systems  
Finally, extensive experiments are conducted to evaluate the ICDKCFA approach on the AVEC 2016 Multimodal Affect Recognition Sub-Challenge dataset.  ...  A novel algorithm, namely the incomplete Cholesky decomposition based kernel cross factor analysis (ICDKCFA), is presented and employed for continuous dimensional audiovisual emotion recognition, in this  ...  Extensive experiments were conducted to evaluate the ICDKCFA approach on the AVEC 2016 Multimodal Affect Recognition Sub-Challenge dataset.  ... 
doi:10.3837/tiis.2019.02.018 fatcat:vgtttfmk5jgfrkwz45hkr6zily
« Previous Showing results 1 — 15 out of 246 results