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 contribution › peer-review

183 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	ICMI '14
Subtitle of host publication	Proceedings of the 16th International Conference on Multimodal Interaction
Place of Publication	New York, NY
Publisher	Association for Computing Machinery, Inc
Pages	461-466
Number of pages	6
ISBN (Electronic)	9781450328852
DOIs	https://doi.org/10.1145/2663204.2666275
Publication status	Published - 12 Nov 2014
Externally published	Yes
Event	16th ACM International Conference on Multimodal Interaction - Istanbul, Turkey Duration: 12 Nov 2014 → 16 Nov 2014 Conference number: 16th

Publication series

Name	ICMI 2014 - Proceedings of the 2014 International Conference on Multimodal Interaction

Conference

Conference	16th ACM International Conference on Multimodal Interaction
Abbreviated title	ICMI 2014
Country/Territory	Turkey
City	Istanbul
Period	12/11/14 → 16/11/14
Other	Welcome to Istanbul and to the 16th edition of the ACM International Conference on Multimodal Interaction, ICMI 2014. ICMI is the premier international forum for multidisciplinary research on multimodal humanhuman and human-computer interaction, interfaces, and system development. The conference focuses on theoretical and empirical foundations, component technologies, and combined multimodal processing techniques that define the field of multimodal interaction.

Keywords

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

Access to Document

10.1145/2663204.2666275Licence: In Copyright

Cite this

Dhall, A., Goecke, R., Joshi, J., Sikka, K., & Gedeon, T. (2014). Emotion recognition in the wild challenge 2014: Baseline, data and protocol. In ICMI '14: Proceedings of the 16th International Conference on Multimodal Interaction (pp. 461-466). (ICMI 2014 - Proceedings of the 2014 International Conference on Multimodal Interaction). Association for Computing Machinery, Inc. https://doi.org/10.1145/2663204.2666275

Dhall, Abhinav ; Goecke, Roland ; Joshi, Jyoti et al. / Emotion recognition in the wild challenge 2014 : Baseline, data and protocol. ICMI '14: Proceedings of the 16th International Conference on Multimodal Interaction. New York, NY : Association for Computing Machinery, Inc, 2014. pp. 461-466 (ICMI 2014 - Proceedings of the 2014 International Conference on Multimodal Interaction).

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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.",

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Dhall, A, Goecke, R, Joshi, J, Sikka, K & Gedeon, T 2014, Emotion recognition in the wild challenge 2014: Baseline, data and protocol. in ICMI '14: Proceedings of the 16th International Conference on Multimodal Interaction. ICMI 2014 - Proceedings of the 2014 International Conference on Multimodal Interaction, Association for Computing Machinery, Inc, New York, NY, pp. 461-466, 16th ACM International Conference on Multimodal Interaction, Istanbul, Turkey, 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.
ICMI '14: Proceedings of the 16th International Conference on Multimodal Interaction. New York, NY: Association for Computing Machinery, Inc, 2014. p. 461-466 (ICMI 2014 - Proceedings of the 2014 International Conference on Multimodal Interaction).

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

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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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Dhall A, Goecke R, Joshi J, Sikka K, Gedeon T. Emotion recognition in the wild challenge 2014: Baseline, data and protocol. In ICMI '14: Proceedings of the 16th International Conference on Multimodal Interaction. New York, NY: Association for Computing Machinery, Inc. 2014. p. 461-466. (ICMI 2014 - Proceedings of the 2014 International Conference on Multimodal Interaction). doi: 10.1145/2663204.2666275

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

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Conference

Keywords

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