A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Filters
Multimodal Emotion Recognition for AVEC 2016 Challenge
2016
Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge - AVEC '16
Preserved Fulltext
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
2016
Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge - AVEC '16
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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
2016
Proceedings of the 2016 ACM on Multimedia Conference - MM '16
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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]
2016
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Other Versions
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]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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
2016
Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge - AVEC '16
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2016
Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge - AVEC '16
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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]
2017
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
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
2017
IEEE Journal on Selected Topics in Signal Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Other Versions
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
2016
Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge - AVEC '16
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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
2016
Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge - AVEC '16
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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
2016
Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge - AVEC '16
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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
2018
Proceedings of the 2018 on Audio/Visual Emotion Challenge and Workshop - AVEC'18
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2017
Proceedings of the 7th Annual Workshop on Audio/Visual Emotion Challenge - AVEC '17
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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