Skip to main content

Feasibility of Personalized Affective Video Summaries

  • Chapter

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4868))

Abstract

Video summaries present the content of a video stream concisely while trying to preserve its original, essential message. By means of a feasibility study, this article investigates whether users’ physiological responses to video content can adequately serve as a basis for the creation of affective video summaries that are personalized for an individual user.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Zhu, X., Wu, X., Fan, J., Elmagarmid, A.K., Aref, W.G.: Exploring Video Content Structure for Hierarchical Summarization. Multimedia Systems 10(2), 98–115 (2004)

    Article  Google Scholar 

  2. Li, Z., Schuster, G.M., Katsaggelos, A.K.: MINMAX Optimal Video Summarization. IEEE Transactions on Circuits and Systems for Video Technology 15(10), 1245–1256 (2005)

    Article  Google Scholar 

  3. Money, A.G., Agius, H.: Video Summarisation: A Conceptual Framework and Survey of the State of the Art. Journal of Visual Communication and Image Representation 19(2), 121–143 (2008)

    Article  Google Scholar 

  4. Everingham, M., Sivic, J., Zisserman, A.: Hello! My name is.. Buffy. In: 17th British Machine Vision Conference, vol. III, pp. 899–908 (2006), http://www.macs.hw.ac.uk/bmvc2006/BMVC06%20Proceedings%20III.pdf

  5. Sivic, J., Schaffalitzky, F., Zisserman, A.: Object Level Grouping for Video Shots. International Journal of Computer Vision 67(2), 189–210 (2006)

    Article  Google Scholar 

  6. Wang, Y., Liu, Z., Huang, J.: Multimedia Content Analysis: Using Both Audio and Visual Clues. IEEE Signal Processing Magazine 17(6), 12–36 (2000)

    Article  Google Scholar 

  7. Shao, X., Xu, C., Maddage, N.C., Tian, Q., Kankanhalli, M.S., Jin, J.S.: Automatic Summarization of Music Videos. ACM Transactions on Multimedia Computing, Communications, and Applications 2(2), 127–148 (2006)

    Article  Google Scholar 

  8. Hanjalic, A.: Adaptive Extraction of Highlights from a Sport Video Based on Excitement Modeling. IEEE Transactions on Multimedia 7(6), 1114–1122 (2005)

    Article  Google Scholar 

  9. Hanjalic, A., Xu, L.: User-Oriented Affective Video Content Analysis. In: IEEE Workshop on Content-Based Access of Image and Video Libraries, pp. 50–57. IEEE Computer Society, Los Alamitos (2001)

    Chapter  Google Scholar 

  10. de Silva, G., Yamasaki, T., Aizawa, K.: Evaluation of Video Summarization for a Large Number of Cameras in Ubiquitous Home. In: 13th Annual ACM International Conference on Multimedia, pp. 820–828. ACM Press, New York (2005)

    Chapter  Google Scholar 

  11. Jaimes, A., Echigo, T., Teraguchi, M., Satoh, F.: Learning Personalized Video Highlights from Detailed MPEG-7 Metadata. In: IEEE International Conference on Image Processing, vol. I, pp. 133–136. IEEE, Piscataway (2002)

    Google Scholar 

  12. Takahashi, Y., Nitta, N., Babaguchi, N.: Video Summarization for Large Sports Video Archives. In: IEEE International Conference on Multimedia and Expo., pp. 1170–1173. IEEE, Piscataway (2005)

    Chapter  Google Scholar 

  13. Aizawa, K., Tancharoen, D., Kawasaki, S., Yamasaki, T.: Efficient Retrieval of Life Log Based on Context to Content. In: 1st ACM Workshop on Continuous Archival and Retrieval of Personal Experiences, pp. 22–31. ACM Press, New York (2004)

    Chapter  Google Scholar 

  14. Rui, Y., Zhou, S.X., Huang, T.S.: Efficient Access to Video Content in a Unified Framework. In: IEEE International Conference on Multimedia Computing and Systems, vol. 2, pp. 735–740. IEEE Computer Society, Los Alamitos (1999)

    Google Scholar 

  15. Zimmerman, J., Dimitrova, N., Agnihotri, L., Janevski, A., Nikolovska, L.: Interface Design for MyInfo: A Personal News Demonstrator Combining Web and TV Content. In: IFIP TC13 International Conference on Human-Computer Interaction (INTERACT), pp. 41–48. IOS Press, Amsterdam (2003)

    Google Scholar 

  16. Smeulders, A.W.M., Worring, M., Santini, S., Gupta, A., Jain, R.: Content-Based Image Retrieval at the End of the Early Years. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(12), 1349–1380 (2000)

    Article  Google Scholar 

  17. Simon, H.A.: Comments. In: Sydnor Clark, M., Fiske, S.T. (eds.) Affect and Cognition, pp. 333–342. Erlbaum, Hillsdale (1982)

    Google Scholar 

  18. Gomez, P., Danuser, B.: Affective and Physiological Responses to Environmental Noises and Music. International Journal of Psychophysiology 53(2), 91–103 (2004)

    Article  Google Scholar 

  19. Cacioppo, J.T., Berntson, G.G., Klein, D.J., Poehlmann, K.M.: The Psychophysiology of Emotion Across the Lifespan. Annual Review of Gerontology and Geriatrics 17, 27–74 (1997)

    Google Scholar 

  20. Carlson, N.R.: Psychology of Behaviour. Allyn and Bacon, Boston (2001)

    Google Scholar 

  21. Philippot, P., Chapelle, C., Blairy, S.: Respiratory Feedback in the Generation of Emotion. Cognition & Emotion 16(5), 605–627 (2002)

    Article  Google Scholar 

  22. Brown, W.A., Corriveau, D.P., Monti, P.M.: Anger Arousal by a Motion Picture: A Methodological Note. American Journal of Psychiatry 134, 930–931 (1977)

    Google Scholar 

  23. Detenber, B.H., Simons, R.F., Bennett, G.: Roll ’Em!: The Effects of Picture Motion on Emotional Responses. Journal of Broadcasting & Electronic Media 42(1), 113–127 (1998)

    Google Scholar 

  24. Lang, A., Bolls, P., Potter, R., Kawahara, K.: The effects of Production Pacing and Arousing Content on the Information Processing of Television Messages. Journal of Broadcasting and Electronic Media 43(4), 451–476 (1999)

    Google Scholar 

  25. Agius, H., Crockford, C., Money, A.G.: Emotion and Multimedia Content. In: Furht, B. (ed.) Encyclopedia of Multimedia, pp. 222–223. Springer, New York (2006)

    Google Scholar 

  26. McIntyre, G., Göcke, R.: The Composite Sensing of Affect. In: Peter, C., Beale, R. (eds.) Affect and Emotion in Human-Computer Interaction. LNCS, vol. 4868. Springer, Heidelberg (2008)

    Google Scholar 

  27. van Reekum, C., Johnstone, T., Banse, R., Etter, A., Wehrle, T., Scherer, K.R.: Psychophysiological Responses to Appraisal Dimensions in a Computer Game. Cognition and Emotion 18(5), 663–688 (2004)

    Article  Google Scholar 

  28. Loviscach, J., Oswald, D.: In the Mood: Tagging Music with Affects. In: Peter, C., Beale, R. (eds.) Affect and Emotion in Human-Computer Interaction. LNCS, vol. 4868. Springer, Heidelberg (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Christian Peter Russell Beale

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Money, A.G., Agius, H. (2008). Feasibility of Personalized Affective Video Summaries. In: Peter, C., Beale, R. (eds) Affect and Emotion in Human-Computer Interaction. Lecture Notes in Computer Science, vol 4868. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85099-1_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-85099-1_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85098-4

  • Online ISBN: 978-3-540-85099-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics