Emotion Recognition in the Wild Challenge 2014: Baseline, Data and Protocol

Abhinav DHALL, Roland GOECKE, Jyoti Joshi, Karan Sikka, Tamas Gedeon

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    97 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 ‘in 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 languageEnglish
    Title of host publicationICMI'14 Proceedings of the 16th International Conference on Multimodal Interaction
    Editors Salah, Cohn, Schuller
    Place of PublicationUSA
    PublisherAssociation for Computing Machinery (ACM)
    Pages461-466
    Number of pages6
    ISBN (Print)9781450328852
    DOIs
    Publication statusPublished - 2014
    Event16th International Conference on Multimodal Interaction - Istanbul, Istanbul, Turkey
    Duration: 12 Nov 201416 Nov 2014

    Conference

    Conference16th International Conference on Multimodal Interaction
    CountryTurkey
    CityIstanbul
    Period12/11/1416/11/14

    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 Salah, Cohn, & Schuller (Eds.), ICMI'14 Proceedings of the 16th International Conference on Multimodal Interaction (pp. 461-466). USA: Association for Computing Machinery (ACM). https://doi.org/10.1145/2663204.2666275
    DHALL, Abhinav ; GOECKE, Roland ; Joshi, Jyoti ; Sikka, Karan ; Gedeon, Tamas. / Emotion Recognition in the Wild Challenge 2014: Baseline, Data and Protocol. ICMI'14 Proceedings of the 16th International Conference on Multimodal Interaction. editor / Salah ; Cohn ; Schuller. USA : Association for Computing Machinery (ACM), 2014. pp. 461-466
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    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 ‘in 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 Salah, Cohn & Schuller (eds), ICMI'14 Proceedings of the 16th International Conference on Multimodal Interaction. Association for Computing Machinery (ACM), USA, pp. 461-466, 16th 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; Sikka, Karan; Gedeon, Tamas.

    ICMI'14 Proceedings of the 16th International Conference on Multimodal Interaction. ed. / Salah; Cohn; Schuller. USA : Association for Computing Machinery (ACM), 2014. p. 461-466.

    Research output: A Conference proceeding or a Chapter in BookConference contribution

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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 ‘in 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 Salah, Cohn, Schuller, editors, ICMI'14 Proceedings of the 16th International Conference on Multimodal Interaction. USA: Association for Computing Machinery (ACM). 2014. p. 461-466 https://doi.org/10.1145/2663204.2666275