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

George Kavallakis, Nikolaos Vidakis, Georgios Triantafyllidis

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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.
Original languageEnglish
Title of host publication5th EAI International Conference: ArtsIT, Interactivity & Game Creation
PublisherSpringer
Publication date2017
Pages248-255
ISBN (Print)978-3-319-55833-2
ISBN (Electronic)978-3-319-55834-9
DOIs
Publication statusPublished - 2017
Event5th EAI International Conference: ArtsIT, Interactivity & Game Creation - Esbjerg, Denmark
Duration: 2 May 20163 May 2016

Conference

Conference5th EAI International Conference: ArtsIT, Interactivity & Game Creation
CountryDenmark
CityEsbjerg
Period02/05/201603/05/2016
SeriesLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume196
ISSN1867-8211

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Kavallakis, G., Vidakis, N., & Triantafyllidis, G. (2017). Emotion Index of Cover Song Music Video Clips based on Facial Expression Recognition. In 5th EAI International Conference: ArtsIT, Interactivity & Game Creation (pp. 248-255). Springer. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Vol.. 196 https://doi.org/10.1007/978-3-319-55834-9_29
Kavallakis, George ; Vidakis, Nikolaos ; Triantafyllidis, Georgios. / Emotion Index of Cover Song Music Video Clips based on Facial Expression Recognition. 5th EAI International Conference: ArtsIT, Interactivity & Game Creation. Springer, 2017. pp. 248-255 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Vol. 196).
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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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Kavallakis, G, Vidakis, N & Triantafyllidis, G 2017, Emotion Index of Cover Song Music Video Clips based on Facial Expression Recognition. in 5th EAI International Conference: ArtsIT, Interactivity & Game Creation. Springer, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 196, pp. 248-255, 5th EAI International Conference: ArtsIT, Interactivity & Game Creation, Esbjerg, Denmark, 02/05/2016. https://doi.org/10.1007/978-3-319-55834-9_29

Emotion Index of Cover Song Music Video Clips based on Facial Expression Recognition. / Kavallakis, George; Vidakis, Nikolaos; Triantafyllidis, Georgios.

5th EAI International Conference: ArtsIT, Interactivity & Game Creation. Springer, 2017. p. 248-255 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Vol. 196).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Kavallakis G, Vidakis N, Triantafyllidis G. Emotion Index of Cover Song Music Video Clips based on Facial Expression Recognition. In 5th EAI International Conference: ArtsIT, Interactivity & Game Creation. Springer. 2017. p. 248-255. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Vol. 196). https://doi.org/10.1007/978-3-319-55834-9_29