Video and image based emotion recognition challenges in the wild: EmotiW 2015

Abhinav Dhall; O. V. Ramana Murthy; Roland Goecke; Jyoti Joshi; Tom Gedeon

doi:10.1145/2818346.2829994

Video and image based emotion recognition challenges in the wild: EmotiW 2015

Abhinav Dhall, O. V. Ramana Murthy, Roland Goecke, Jyoti Joshi, Tom Gedeon

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

265 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
Subtitle of host publication	Proceedings of the 2015 ACM International Conference on Multimodal Interaction
Place of Publication	New York
Publisher	Association for Computing Machinery, Inc
Pages	423-426
Number of pages	4
ISBN (Electronic)	978-1-4503-3912-4
DOIs	https://doi.org/10.1145/2818346.2829994
Publication status	Published - Nov 2015
Externally published	Yes
Event	Association for Computing Machinery (ACM) International Conference on Multimodal Interaction - Seattle, United States Duration: 9 Nov 2015 → 13 Nov 2015

Conference

Conference	Association for Computing Machinery (ACM) International Conference on Multimodal Interaction
Abbreviated title	ICMI 2015
Country/Territory	United States
City	Seattle
Period	9/11/15 → 13/11/15

Keywords

Affect analysis in the wild
Audio-video data corpus
Facial expression challenge

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10.1145/2818346.2829994Licence: In Copyright

Cite this

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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 Murthy}, {O. V.} and Roland Goecke and Jyoti Joshi and Tom Gedeon",

year = "2015",

month = nov,

doi = "10.1145/2818346.2829994",

language = "English",

pages = "423--426",

booktitle = "ICMI'2015",

publisher = "Association for Computing Machinery, Inc",

note = "Association for Computing Machinery (ACM) International Conference on Multimodal Interaction, ICMI 2015 ; Conference date: 09-11-2015 Through 13-11-2015",

}

Dhall, A, Ramana Murthy, OV, Goecke, R, Joshi, J & Gedeon, T 2015, Video and image based emotion recognition challenges in the wild: EmotiW 2015. in ICMI'2015: Proceedings of the 2015 ACM International Conference on Multimodal Interaction. Association for Computing Machinery, Inc, New York, pp. 423-426, Association for Computing Machinery (ACM) International Conference on Multimodal Interaction, Seattle, 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; Ramana Murthy, O. V.; Goecke, Roland et al.
ICMI'2015: Proceedings of the 2015 ACM International Conference on Multimodal Interaction. New York: Association for Computing Machinery, Inc, 2015. p. 423-426.

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

TY - GEN

T1 - Video and image based emotion recognition challenges in the wild

T2 - Association for Computing Machinery (ACM) International Conference on Multimodal Interaction

AU - Dhall, Abhinav

AU - Ramana Murthy, O. V.

AU - Goecke, Roland

AU - Joshi, Jyoti

AU - Gedeon, Tom

PY - 2015/11

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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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M3 - Conference contribution

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BT - ICMI'2015

PB - Association for Computing Machinery, Inc

CY - New York

Y2 - 9 November 2015 through 13 November 2015

ER -

Video and image based emotion recognition challenges in the wild: EmotiW 2015

Abstract

Conference

Keywords

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