Emotion recognition in the wild challenge 2014: baseline, data and protocol

Abhinav Dhall; Roland Goecke; Jyoti Joshi; Karan Sikka; Tom Gedeon

doi:10.1145/2663204.2666275

Emotion recognition in the wild challenge 2014: baseline, data and protocol

Abhinav Dhall, Roland Goecke, Jyoti Joshi, Karan Sikka, Tom Gedeon

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-review

179 Citations (Scopus)

Abstract

The Second Emotion Recognition In The Wild Challenge (EmotiW) 2014 consists of an audio-video based emotion classification challenge, which mimics the real-world conditions. Traditionally, emotion recognition has been performed on data captured in constrained lab-controlled like environment. While this data was a good starting point, such lab controlled data poorly represents the environment and conditions faced in real-world situations. With the exponential increase in the number of video clips being uploaded online, it is worthwhile to explore the performance of emotion recognition methods that work ìn the wild'. The goal of this Grand Challenge is to carry forward the common platform defined during EmotiW 2013, for evaluation of emotion recognition methods in real-world conditions. The database in the 2014 challenge is the Acted Facial Expression In Wild (AFEW) 4.0, which has been collected from movies showing close-to-real-world conditions. The paper describes the data partitions, the baseline method and the experimental protocol.

Original language	English
Title of host publication	Proceedings of the 16th International Conference on Multimodal Interaction
Editors	Oya Aran, Louis-Philippe Morency, Philip R. Cohen
Place of Publication	New York NY USA
Publisher	Association for Computing Machinery (ACM)
Pages	461-466
Number of pages	6
ISBN (Electronic)	9781450328852
DOIs	https://doi.org/10.1145/2663204.2666275
Publication status	Published - 2014
Externally published	Yes
Event	Multimodal Learning Analytics Workshop and Grand Challenges 2014 - Istanbul, Türkiye Duration: 12 Nov 2014 → 12 Nov 2014 Conference number: 3rd http://icmi.acm.org.ezproxy.lib.monash.edu.au/2014/

Workshop

Workshop	Multimodal Learning Analytics Workshop and Grand Challenges 2014
Abbreviated title	MLA 2014
Country/Territory	Türkiye
City	Istanbul
Period	12/11/14 → 12/11/14
Other	Event = 16th ACM International Conference on Multimodal Interaction, ICMI 2014 - Istanbul, Turkey Duration: Nov 12 2014 → Nov 16 2014 Proceedings title = ICMI 2014 - Proceedings of the 2014 International Conference on Multimodal Interaction
Internet address	http://icmi.acm.org.ezproxy.lib.monash.edu.au/2014/

Keywords

Audio-video data corpus
Emotion recognition in the wild
EmotiW challenge

Access to Document

10.1145/2663204.2666275

Cite this

@inproceedings{019a36d6e6934f2593d6b88cc02acd3d,

title = "Emotion recognition in the wild challenge 2014: baseline, data and protocol",

abstract = "The Second Emotion Recognition In The Wild Challenge (EmotiW) 2014 consists of an audio-video based emotion classification challenge, which mimics the real-world conditions. Traditionally, emotion recognition has been performed on data captured in constrained lab-controlled like environment. While this data was a good starting point, such lab controlled data poorly represents the environment and conditions faced in real-world situations. With the exponential increase in the number of video clips being uploaded online, it is worthwhile to explore the performance of emotion recognition methods that work {\`i}n the wild'. The goal of this Grand Challenge is to carry forward the common platform defined during EmotiW 2013, for evaluation of emotion recognition methods in real-world conditions. The database in the 2014 challenge is the Acted Facial Expression In Wild (AFEW) 4.0, which has been collected from movies showing close-to-real-world conditions. The paper describes the data partitions, the baseline method and the experimental protocol.",

keywords = "Audio-video data corpus, Emotion recognition in the wild, EmotiW challenge",

author = "Abhinav Dhall and Roland Goecke and Jyoti Joshi and Karan Sikka and Tom Gedeon",

year = "2014",

doi = "10.1145/2663204.2666275",

language = "English",

pages = "461--466",

editor = "Aran, {Oya } and Morency, {Louis-Philippe } and {R. Cohen}, {Philip }",

booktitle = "Proceedings of the 16th International Conference on Multimodal Interaction",

publisher = "Association for Computing Machinery (ACM)",

address = "United States of America",

note = "Multimodal Learning Analytics Workshop and Grand Challenges 2014, MLA 2014 ; Conference date: 12-11-2014 Through 12-11-2014",

url = "http://icmi.acm.org.ezproxy.lib.monash.edu.au/2014/",

}

Dhall, A, Goecke, R, Joshi, J, Sikka, K & Gedeon, T 2014, Emotion recognition in the wild challenge 2014: baseline, data and protocol. in O Aran, L-P Morency & P R. Cohen (eds), Proceedings of the 16th International Conference on Multimodal Interaction. Association for Computing Machinery (ACM), New York NY USA, pp. 461-466, Multimodal Learning Analytics Workshop and Grand Challenges 2014, Istanbul, Türkiye, 12/11/14. https://doi.org/10.1145/2663204.2666275

Emotion recognition in the wild challenge 2014: baseline, data and protocol. / Dhall, Abhinav; Goecke, Roland; Joshi, Jyoti et al.
Proceedings of the 16th International Conference on Multimodal Interaction. ed. / Oya Aran; Louis-Philippe Morency; Philip R. Cohen. New York NY USA: Association for Computing Machinery (ACM), 2014. p. 461-466.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-review

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AU - Joshi, Jyoti

AU - Sikka, Karan

AU - Gedeon, Tom

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AB - The Second Emotion Recognition In The Wild Challenge (EmotiW) 2014 consists of an audio-video based emotion classification challenge, which mimics the real-world conditions. Traditionally, emotion recognition has been performed on data captured in constrained lab-controlled like environment. While this data was a good starting point, such lab controlled data poorly represents the environment and conditions faced in real-world situations. With the exponential increase in the number of video clips being uploaded online, it is worthwhile to explore the performance of emotion recognition methods that work ìn the wild'. The goal of this Grand Challenge is to carry forward the common platform defined during EmotiW 2013, for evaluation of emotion recognition methods in real-world conditions. The database in the 2014 challenge is the Acted Facial Expression In Wild (AFEW) 4.0, which has been collected from movies showing close-to-real-world conditions. The paper describes the data partitions, the baseline method and the experimental protocol.

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Y2 - 12 November 2014 through 12 November 2014

ER -

Emotion recognition in the wild challenge 2014: baseline, data and protocol

Abstract

Workshop

Keywords

Access to Document

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