Skip to main content

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

  • Conference paper
  • First Online:
Interactivity, Game Creation, Design, Learning, and Innovation (ArtsIT 2016, DLI 2016)

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
eBook
USD 39.99
Price excludes VAT (USA)
Softcover Book
USD 54.99
Price excludes VAT (USA)

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Agresti, A.: Categorical DATA Analysis. Wiley, New York (1990)

    MATH  Google Scholar 

  2. Steinberg, D., Colla, P.: CART™ Interface and Documentation. Salford Systems, San Diego (1997)

    Google Scholar 

  3. Balakrishnama, S., Ganapathiraju, A.: Linear Discriminant Analysis - A Brief Tutorial. Mississippi State Univ., Starkville (1998)

    Google Scholar 

  4. Hall, P., Park, B.U., Samworth, R.J.: Choice of neighbor order in nearest-neighbor classification. Annal. Stat. 36, 2135–2152 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  5. Wang, J., Plataniotis, K.N., Lu, J., Venetsanopoulos, A.N.: Kernel quadratic discriminant analysis for small sample size problem. Pattern Recogn. 41(5), 1528–1538 (2008)

    Article  MATH  Google Scholar 

  6. Lowe D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 60, 91–110 (2004)

    Article  Google Scholar 

  7. Kienzle, W., Bakir, G., Franz, M., Scholkopf, B.: Face detection - efficient and rank deficient. In: Advances in Neural Information Processing Systems 17, pp. 673–680 (2005)

    Google Scholar 

  8. Foo, J.J., Sinha, R.: Pruning SIFT for scalable near-duplicate image matching. In: Proceedings of the Eighteenth Conference on Australasian Database, vol. 63, pp 63–71 (2007)

    Google Scholar 

  9. Moreels P., Perona P.: Common-frame model for object recognition. In: Advances in Neural Information Processing Systems, pp. 953–960 (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Georgios Triantafyllidis .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Cite this paper

Kavalakis, G., Vidakis, N., Triantafyllidis, G. (2017). Emotion Index of Cover Song Music Video Clips Based on Facial Expression Recognition. In: Brooks, A., Brooks, E. (eds) Interactivity, Game Creation, Design, Learning, and Innovation. ArtsIT DLI 2016 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 196. Springer, Cham. https://doi.org/10.1007/978-3-319-55834-9_29

Download citation

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

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-55833-2

  • Online ISBN: 978-3-319-55834-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics