Skip to main content
SpringerLink
Log in

Video Shot Boundary Detection Using Generalized Eigenvalue Decomposition

  • Conference paper
Computational Science and Its Applications – ICCSA 2009 (ICCSA 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5593))

Included in the following conference series:

Abstract

In this paper, we propose a novel shot boundary detection algorithm using Generalized Eigenvalue Decomposition (GED). We derive a theorem that discuss about some new features of GED which could be used in the video processing algorithms. Our innovative explanation utilizes this theorem in the detecting of boundaries of video shots. Experimental results and comparison with publicly available shot detection systems on TRECVID 2006 datasets are reported.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Grana, C., Cucchiara, R.: Linear Transition Detection as a Unified Shot Detection Approach. IEEE Trans. Circuits and Systems for Video Technology 49, 71–96 (2006)

    Google Scholar 

  2. Brezeale, D., Cook, D.J.: Automatic Video Classification: A Survey of the Literature. IEEE Transactions on systems, man, and cybernetics- Part C: Applications and reviews 38(3), 416–430 (2008)

    Article  Google Scholar 

  3. Lienhart, R.: Comparison of automatic shot boundary detection algorithms. In: Proc. SPIE Conf. Storage Retrieval Image, Video databases VII, vol. 3656, pp. 290–301 (1999)

    Google Scholar 

  4. Hanjalic, A.: Shot-boundary detection: unraveled and resolved? IEEE Trans. Circuits and Systems for Video Technology 12(2), 90–105 (2002)

    Article  Google Scholar 

  5. Cotsaces, C., Nikolaidis, N., Pitas, I.: Video shot detection and condensed representation: a review. IEEE Signal Processing Magazine 23(2), 28–37 (2006)

    Article  Google Scholar 

  6. Cernekova, Z., Pitas, I., Nikou, C.: Information Theory-Based Shot Cut/Fade Detection and Video Summarization. IEEE Trans. Circuits and Systems for Video Technology 16(1), 82–91 (2006)

    Article  Google Scholar 

  7. Pei, S.-C., Chou, Y.-Z.: Efficient MPEG Compressed Video Analysis Using Macroblock Type Information. IEEE Trans. on Multimedia 4(1), 321–333 (1999)

    Google Scholar 

  8. Lienhart, R.: Comparison of automatic shot boundary detection algorithms. In: Proc. SPIE Storage and Retrieval for Image and Video Databases VII, San Jose, CA, vol. 3656, pp. 290–301 (January 1999)

    Google Scholar 

  9. Browne, P., Smeaton, A.F., Murphy, N., O’Connor, N., Marlow, S., Berrut, C.: Evaluation and combining digital video shot boundary detection algorithms. Presented at the 4th Irish Machine Vision and Information Processing Conf., Belfast, Ireland (2000)

    Google Scholar 

  10. Dailianas, A., Allen, R.B., England, P.: Comparison of automatic video segmentation algorithms. In: Proc. SPIE Photonics East 1995: Integration Issues in Large Commercial Media Delivery Systems, vol. 2615, pp. 2–16 (October 1995)

    Google Scholar 

  11. Ahanger, G., Little, T.: A survey of technologies for parsing and indexing digital video. J. Vis. Commun. Image Represent. 7(1), 28–43 (1996)

    Article  Google Scholar 

  12. Patel, N.V., Sethi, I.K.: Video shot detection and characterization for video databases. Pattern Recognit. 30(4), 583–592 (1997)

    Article  Google Scholar 

  13. Tsekeridou, S., Pitas, I.: Content-based video parsing and indexing based on audio-visual interaction. IEEE Trans. Circuits Syst. Video Technol. 11(4), 522–535 (2001)

    Article  Google Scholar 

  14. Huang, C.-L., Liao, B.-Y.: A robust scene-change detection method for video segmentation. IEEE Trans. Circuits. Syst. Video Technol. 11(12), 1281–1288 (2001)

    Article  Google Scholar 

  15. Hanjalic, A.: Shot-boundary detection: Unraveled and resolved? IEEE Trans. Circuits. Syst. Video Technol. 12(2), 90–105 (2002)

    Article  Google Scholar 

  16. Butz, T., Thiran, J.: Shot boundary detection with mutual information. In: Proc. 2001 IEEE Int. Conf. Image Processing, vol. 3, pp. 422–425 (October 2001)

    Google Scholar 

  17. Lienhart, R.: Reliable dissolve detection. In: Proc. SPIE Storage and Retrieval for Media Databases 2001, vol. 4315, pp. 219–230 (January 2001)

    Google Scholar 

  18. Amiri, A., Fathy, M.: Generalized Eigenvalues and Eigenvectors of Rectangular Matrices based on Radic’s Determinant: Definitions and Properties. Journal of Computing and Informatics (to appear, 2009)

    Google Scholar 

  19. Radic, M.: Areas of Certain Polygons in Connection with Determinants of Rectangular Matrices. Beitrage zur Algebra and Geometric Contributions to Algebra and Geometry 49, 71–96 (2008)

    MathSciNet  MATH  Google Scholar 

  20. Radic, M.: About a Determinant of Rectangular 2×n Matrix and its Geometric Interpretation. Beitrage Zur Algebra und Geometric Contributions to Algebra and Geometry 46, 321–349 (2005)

    MathSciNet  MATH  Google Scholar 

  21. Cheng, W., Xu, D., Jiang, Y., Lang, C.: Information Theoric Metrics in Shot Boundary Detection. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds.) KES 2005. LNCS (LNAI), vol. 3683, pp. 388–394. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Computer Engineering Department, Iran University of Science and Technology, 1684613114 Narmak, Tehran, Iran

    Ali Amiri & Mahmood Fathy

Authors
  1. Ali Amiri
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mahmood Fathy
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Perugia, Via Vanvitelli, 1, 06123, Perugia, Italy

    Osvaldo Gervasi

  2. School of Business Systems, Clayton, Monash University, 3800, Victoria, Australia

    David Taniar

  3. L.I.S.U.T. - D.A.P.I.T., University of Basilicata, Viale dell’Ateneo Lucano 10, 85100, Potenza, Italy

    Beniamino Murgante

  4. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, 06123, Perugia, Italy

    Antonio Laganà

  5. School of Computing, Computer Communication Laboratory, SoongSil University, 1-1 Sang-do 5 Dong, Dong-jak Ku, 156-743, Seoul, Korea

    Youngsong Mun

  6. Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Amiri, A., Fathy, M. (2009). Video Shot Boundary Detection Using Generalized Eigenvalue Decomposition. In: Gervasi, O., Taniar, D., Murgante, B., Laganà, A., Mun, Y., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2009. ICCSA 2009. Lecture Notes in Computer Science, vol 5593. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02457-3_64

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-02457-3_64

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02456-6

  • Online ISBN: 978-3-642-02457-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation