@inproceedings{7def135f4c284dbc94947c2e0bfb850f,
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 {\textquoteleft}in the wild{\textquoteright}. 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, EmotiW challenge, Emotion recognition in the wild",
author = "Abhinav DHALL and Roland GOECKE and Jyoti Joshi and Karan Sikka and Tamas Gedeon",
note = "{\textcopyright}2014 ACM; 16th International Conference on Multimodal Interaction ; Conference date: 12-11-2014 Through 16-11-2014",
year = "2014",
doi = "10.1145/2663204.2666275",
language = "English",
isbn = "9781450328852",
series = "ICMI 2014 - Proceedings of the 2014 International Conference on Multimodal Interaction",
publisher = "Association for Computing Machinery (ACM)",
pages = "461--466",
editor = "Salah and Cohn and Schuller",
booktitle = "ICMI 2014 - Proceedings of the 2014 International Conference on Multimodal Interaction",
address = "United States",
}