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

George Kavallakis, Nikolaos Vidakis, Georgios Triantafyllidis

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Resumé

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.
OriginalsprogEngelsk
Titel5th EAI International Conference: ArtsIT, Interactivity & Game Creation
ForlagSpringer
Publikationsdato2017
Sider248-255
ISBN (Trykt)978-3-319-55833-2
ISBN (Elektronisk)978-3-319-55834-9
DOI
StatusUdgivet - 2017
Begivenhed5th EAI International Conference: ArtsIT, Interactivity & Game Creation - Esbjerg, Danmark
Varighed: 2 maj 20163 maj 2016

Konference

Konference5th EAI International Conference: ArtsIT, Interactivity & Game Creation
LandDanmark
ByEsbjerg
Periode02/05/201603/05/2016
NavnLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Vol/bind196
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. I 5th EAI International Conference: ArtsIT, Interactivity & Game Creation (s. 248-255). Springer. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Bind. 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. s. 248-255 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Bind 196).
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Kavallakis, G, Vidakis, N & Triantafyllidis, G 2017, Emotion Index of Cover Song Music Video Clips based on Facial Expression Recognition. i 5th EAI International Conference: ArtsIT, Interactivity & Game Creation. Springer, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, bind 196, s. 248-255, Esbjerg, Danmark, 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. s. 248-255 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Bind 196).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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