Video and Image based Emotion Recognition Challenges in the Wild: EmotiW 2015

Abhinav DHALL; Ramana ORUGANTI; Roland GOECKE; Jyoti Joshi; Tamas Gedeon

doi:10.1145/2818346.2829994

Video and Image based Emotion Recognition Challenges in the Wild: EmotiW 2015

Abhinav DHALL, Ramana ORUGANTI, Roland GOECKE, Jyoti Joshi, Tamas Gedeon

Information Systems

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

243 Citations (Scopus)

Abstract

The third Emotion Recognition in the Wild (EmotiW) challenge 2015 consists of an audio-video based emotion and static image based facial expression recognition sub-challenges, which mimics real-world conditions. The two sub-challenges are based on the Acted Facial Expression in the Wild (AFEW) 5.0 and the Static Facial Expression in the Wild (SFEW) 2.0 databases, respectively. The paper describes the data, baseline method, challenge protocol and the challenge results. A total of 12 and 17 teams participated in the video based emotion and image based expression sub-challenges, respectively.

Original language	English
Title of host publication	ICMI 2015 - Proceedings of the 2015 ACM International Conference on Multimodal Interaction
Editors	Philip R Cohen
Place of Publication	Seattle, USA
Publisher	The Association for Computing Machinery
Pages	423-426
Number of pages	4
ISBN (Electronic)	9781450339124
ISBN (Print)	9781450339124
DOIs	https://doi.org/10.1145/2818346.2829994
Publication status	Published - 9 Nov 2015
Event	17th ACM International conference on multimodal interaction - Seattle, Seattle, United States Duration: 9 Nov 2015 → 13 Nov 2015

Publication series

Name	ICMI 2015 - Proceedings of the 2015 ACM International Conference on Multimodal Interaction

Conference

Conference	17th ACM International conference on multimodal interaction
Abbreviated title	ICMI 2015
Country/Territory	United States
City	Seattle
Period	9/11/15 → 13/11/15

Access to Document

10.1145/2818346.2829994

Cite this

DHALL, A., ORUGANTI, R., GOECKE, R., Joshi, J., & Gedeon, T. (2015). Video and Image based Emotion Recognition Challenges in the Wild: EmotiW 2015. In P. R. Cohen (Ed.), ICMI 2015 - Proceedings of the 2015 ACM International Conference on Multimodal Interaction (pp. 423-426). (ICMI 2015 - Proceedings of the 2015 ACM International Conference on Multimodal Interaction). The Association for Computing Machinery. https://doi.org/10.1145/2818346.2829994

DHALL, Abhinav ; ORUGANTI, Ramana ; GOECKE, Roland et al. / Video and Image based Emotion Recognition Challenges in the Wild: EmotiW 2015. ICMI 2015 - Proceedings of the 2015 ACM International Conference on Multimodal Interaction. editor / Philip R Cohen. Seattle, USA : The Association for Computing Machinery, 2015. pp. 423-426 (ICMI 2015 - Proceedings of the 2015 ACM International Conference on Multimodal Interaction).

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title = "Video and Image based Emotion Recognition Challenges in the Wild: EmotiW 2015",

abstract = "The third Emotion Recognition in the Wild (EmotiW) challenge 2015 consists of an audio-video based emotion and static image based facial expression recognition sub-challenges, which mimics real-world conditions. The two sub-challenges are based on the Acted Facial Expression in the Wild (AFEW) 5.0 and the Static Facial Expression in the Wild (SFEW) 2.0 databases, respectively. The paper describes the data, baseline method, challenge protocol and the challenge results. A total of 12 and 17 teams participated in the video based emotion and image based expression sub-challenges, respectively.",

keywords = "Affect analysis in the wild, Audio-video data corpus, Facial expression challenge",

author = "Abhinav DHALL and Ramana ORUGANTI and Roland GOECKE and Jyoti Joshi and Tamas Gedeon",

year = "2015",

month = nov,

day = "9",

doi = "10.1145/2818346.2829994",

language = "English",

isbn = "9781450339124",

series = "ICMI 2015 - Proceedings of the 2015 ACM International Conference on Multimodal Interaction",

publisher = "The Association for Computing Machinery",

pages = "423--426",

editor = "Cohen, {Philip R}",

booktitle = "ICMI 2015 - Proceedings of the 2015 ACM International Conference on Multimodal Interaction",

note = "17th ACM International conference on multimodal interaction, ICMI 2015 ; Conference date: 09-11-2015 Through 13-11-2015",

}

DHALL, A, ORUGANTI, R, GOECKE, R, Joshi, J & Gedeon, T 2015, Video and Image based Emotion Recognition Challenges in the Wild: EmotiW 2015. in PR Cohen (ed.), ICMI 2015 - Proceedings of the 2015 ACM International Conference on Multimodal Interaction. ICMI 2015 - Proceedings of the 2015 ACM International Conference on Multimodal Interaction, The Association for Computing Machinery, Seattle, USA, pp. 423-426, 17th ACM International conference on multimodal interaction, Seattle, Washington, United States, 9/11/15. https://doi.org/10.1145/2818346.2829994

Video and Image based Emotion Recognition Challenges in the Wild: EmotiW 2015. / DHALL, Abhinav; ORUGANTI, Ramana; GOECKE, Roland et al.
ICMI 2015 - Proceedings of the 2015 ACM International Conference on Multimodal Interaction. ed. / Philip R Cohen. Seattle, USA: The Association for Computing Machinery, 2015. p. 423-426 (ICMI 2015 - Proceedings of the 2015 ACM International Conference on Multimodal Interaction).

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

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AU - ORUGANTI, Ramana

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AU - Joshi, Jyoti

AU - Gedeon, Tamas

PY - 2015/11/9

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N2 - The third Emotion Recognition in the Wild (EmotiW) challenge 2015 consists of an audio-video based emotion and static image based facial expression recognition sub-challenges, which mimics real-world conditions. The two sub-challenges are based on the Acted Facial Expression in the Wild (AFEW) 5.0 and the Static Facial Expression in the Wild (SFEW) 2.0 databases, respectively. The paper describes the data, baseline method, challenge protocol and the challenge results. A total of 12 and 17 teams participated in the video based emotion and image based expression sub-challenges, respectively.

AB - The third Emotion Recognition in the Wild (EmotiW) challenge 2015 consists of an audio-video based emotion and static image based facial expression recognition sub-challenges, which mimics real-world conditions. The two sub-challenges are based on the Acted Facial Expression in the Wild (AFEW) 5.0 and the Static Facial Expression in the Wild (SFEW) 2.0 databases, respectively. The paper describes the data, baseline method, challenge protocol and the challenge results. A total of 12 and 17 teams participated in the video based emotion and image based expression sub-challenges, respectively.

KW - Affect analysis in the wild

KW - Audio-video data corpus

KW - Facial expression challenge

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BT - ICMI 2015 - Proceedings of the 2015 ACM International Conference on Multimodal Interaction

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DHALL A, ORUGANTI R, GOECKE R, Joshi J, Gedeon T. Video and Image based Emotion Recognition Challenges in the Wild: EmotiW 2015. In Cohen PR, editor, ICMI 2015 - Proceedings of the 2015 ACM International Conference on Multimodal Interaction. Seattle, USA: The Association for Computing Machinery. 2015. p. 423-426. (ICMI 2015 - Proceedings of the 2015 ACM International Conference on Multimodal Interaction). doi: 10.1145/2818346.2829994

Video and Image based Emotion Recognition Challenges in the Wild: EmotiW 2015

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