Research Article
Emotion Index of Cover Song Music Video Clips Based on Facial Expression Recognition
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@INPROCEEDINGS{10.1007/978-3-319-55834-9_29, author={Georgios Kavalakis and Nikolaos Vidakis and Georgios Triantafyllidis}, title={Emotion Index of Cover Song Music Video Clips Based on Facial Expression Recognition}, proceedings={Interactivity, Game Creation, Design, Learning, and Innovation. 5th International Conference, ArtsIT 2016, and First International Conference, DLI 2016, Esbjerg, Denmark, May 2--3, 2016, Proceedings}, proceedings_a={ARTSIT \& DLI}, year={2017}, month={3}, keywords={Facial expression recognition SIFT Cover song video clips}, doi={10.1007/978-3-319-55834-9_29} }- Georgios Kavalakis
Nikolaos Vidakis
Georgios Triantafyllidis
Year: 2017
Emotion Index of Cover Song Music Video Clips Based on Facial Expression Recognition
ARTSIT & DLI
Springer
DOI: 10.1007/978-3-319-55834-9_29
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.
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