@inproceedings{26a8ad5aa57c4204810929ad73a84a2e,
title = "Emotion Index of Cover Song Music Video Clips based on Facial Expression Recognition",
abstract = "This paper presents a scheme of creating an emotion index of cover song music video clips by recognizing and classifying facial expressions of the artist in the video. More specifically, it fuses effective and robust algorithms which are employed for expression recognition, along with the use of a neural network system using the features extracted by the SIFT algorithm. Also we support the need of this fusion of different expression recognition algorithms, because of the way that emotions are linked to facial expressions in music video clips. ",
author = "George Kavallakis and Nikolaos Vidakis and Georgios Triantafyllidis",
year = "2017",
doi = "10.1007/978-3-319-55834-9_29",
language = "English",
isbn = "978-3-319-55833-2",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer",
pages = "248--255",
booktitle = "5th EAI International Conference: ArtsIT, Interactivity & Game Creation",
address = "Germany",
note = "5th EAI International Conference: ArtsIT, Interactivity & Game Creation, ArtsIT ; Conference date: 02-05-2016 Through 03-05-2016",
}