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2017 | OriginalPaper | Chapter

Emotion Index of Cover Song Music Video Clips Based on Facial Expression Recognition

Authors : Georgios Kavalakis, Nikolaos Vidakis, Georgios Triantafyllidis

Published in: Interactivity, Game Creation, Design, Learning, and Innovation

Publisher: Springer International Publishing

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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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previous chapter An Adaptation Framework for Turning Real Life Events into Games: The Design Process of the Refugee Game
next chapter The Opportunities of Applying the 360° Video Technology to the Presentation of Cultural Events
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Metadata
Title
Emotion Index of Cover Song Music Video Clips Based on Facial Expression Recognition
Authors
Georgios Kavalakis
Nikolaos Vidakis
Georgios Triantafyllidis
Copyright Year
2017
Book
Interactivity, Game Creation, Design, Learning, and Innovation

Print ISBN: 978-3-319-55833-2

Electronic ISBN: 978-3-319-55834-9

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-55834-9_29

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