Skip to main content
SpringerLink
Log in

A novel video scene change detection using successive estimation of statistical measure and HiBiSLI method

  • Original Research
  • Published:
International Journal of Information Technology Aims and scope Submit manuscript

Abstract

Video data watermarking becomes very essential due to digital broadcasting. Scene change detection is the initial step, required for the digital video data copy protection. This paper presents novel scene change detection algorithm based on successive estimation of statistical measure [SESAME] and HiBiSLI algorithm. The designed system detects the scene change using, covariance difference between the measures of each frame is considered. Successive difference between the statistical measures of frames are used and the difference is compared with a pre-difference value. A new algorithm, a combination of histograms, binary search and linear interpolation [HiBiSLI] filtering algorithm is introduced to filter out similar frames at the initial stage. The filtering method uses calculated threshold value. Scene detection algorithm uses ffmpeg as reference to calculate different parameter values. The performance of the designed system is evaluated using precision, recall, F-measure values and computation time. The experimental result proves that the designed system is well good in terms of its computational time, low complexity and better parameter values.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Sarbavidya S, Karforma S (2012) Applications of public key watermarking for authentication of job-card in MGNREGA. BIJIT BVICAM’s Int J Inf Technol 4(1):435–438

    Google Scholar 

  2. Muttoo SK, Kumar S (2012) A robust source coding watermark technique based on magnitude DFT decomposition. BIJIT BVICAM’s Int J Inf Technol 4(2):480–485

    Google Scholar 

  3. Chen SC, Shyu ML, Zhang CC, Kashyap RL (2001) Video Scene change detection method using unsupervised segmentation and object tracking. In: IEEE international conference on multimedia and expo, ICME 2001. IEEE, pp 56–59

  4. Li Z, Jiang J, Xiao G, Fang H (2006) An effective and fast scene change detection algorithm for MPEG compressed videos. In: ICIAR 2006, LNCS 4141, pp 206–214. doi:10.1.1.550.2061&rep=rep1

  5. Haberdar H, Shah SK (2010) Disparity map refinement for video based scene change detection using a mobile stereo camera platform. In: 20th IEEE international conference on pattern recognition. IEEExplore, pp 3890–3893. https://doi.org/10.1109/ICPR.2010.947

  6. Mustafa R, Zhu D (2015) A novel method for sensing obscene videos using scene change detection. TELKOMNIKA Indones J Electr Eng 13(2):300–304. https://doi.org/10.11591/telkomnika.v13i2.6873

    Google Scholar 

  7. Ngo C-W, Pong T-C, Zhang H-J, Chin RT (2000) Motion-based video representation for scene change detection. In: Pattern Recognition, 2000 proceedings 15th international conference, vol 1, pp 827–830. https://doi.org/10.1023/a:1020341931699

  8. Yi X, Ling N (2005) Fast pixel-based video scene change detection, In: Proc. of the IEEE international symposium on circuits and systems (ISCAS), vol 4, Kobe, Japan, May 2005, pp 3443–3446. https://doi.org/10.1109/iscas.2005.1465369

  9. Tse K, Wei J, Panchanathan S (1995) A scene change detection algorithm for MPEG compressed video sequences. In: Electrical and computer engineering, Canadian conference on, Montreal, vol 2, pp 827–830. https://doi.org/10.1109/CCECE.1995.526423

  10. Shin T, Kim JG, Lee H, Kim J (1998) A hierarchical scene change detection in an Mpeg-2 compressed video sequence MPEG-2 video bitstreams, In: Circuits and systems, 1998. ISCAS ‘98. Proceedings of the 1998 IEEE International Symposium, vol 4, pp 253–256. https://doi.org/10.1109/iscas.1998.698808

  11. Bouthemy P, Gelgon M, Ganansia F (1999) A unified approach to shot change detection and camera motion characterization. Circ Syst Video Technol IEEE Trans 9(7):1051–8251

    Article  Google Scholar 

  12. Wang X, Weng Z (2000) Scene abrupt change detection. In: Electrical and computer engineering 2000, Canadian conference, vol 2, pp 880–883

  13. Lee SW, Kim YM, Choi SW (2000) Fast Scene change detection using direct feature, extraction from MPEG compressed videos. IEEE Trans Multimed 2(4):240–254 (doi:1520-9210(00)10248-2)

    Article  Google Scholar 

  14. Chauhan AP, Parmar RR, Parmar SK, Chauhan AG (2013) Hybrid approach for video compression based on scene change detection. In: Signal processing, computing and control (ISPCC), IEEE, Solan, pp 1–5. https://doi.org/10.1109/ISPCC.2013.6663396

  15. Ding J, Yang F (2008) Adaptive group-of-pictures and scene change detection methods based on existing H.264 advanced video coding information. Image Process IET 2(2):85–94. https://doi.org/10.1049/iet-ipr:20070014

  16. Ford RM, Robson C, Daniel T, Gerlach M (1997) Metrics for scene change detection in digital video sequences. In: IEEE international conference on multimedia computing and systems, Ottawa. IEEExplore, pp 610–611. https://doi.org/10.1109/MMCS.1997.609780

  17. Mittalkod PS, Srinivasan GN (2013) Shot boundary detection : an improved algorithm. Int J Eng Sci Res 4:8504–8512

    Google Scholar 

  18. Fernando WAC, Canagarajah CN, Bull DR (2001) Scene change detection algorithms for content based video indexing and retrieval. Electron Commun Eng J 13(3):117–126. https://doi.org/10.1049/ecej:20010302

    Article  Google Scholar 

  19. Dimou A (2005) Scene change detection for H.264 using dynamic threshold techniques. In: Proceedings of 5th EURASIP conference on speech and image processing, multimedia communications and service. doi:10.1.1.92.9213&rep=rep1…p

  20. Yi X, Ling N (2005) Fast pixel-based video scene change detection. In: IEEE international symposium on circuits and systems. Kobe, pp 3443–3446. https://doi.org/10.1109/ISCAS.2005.1465369

  21. Shukla D, Mithlesh CS, Sharma M (2015) A survey on different video scene change detection techniques. In: International Journal of Science and Research (IJSR). National Conference on Knowledge, Innovation in Technology and Engineering (NCKITE), 10–11 April 2015 Kruti Institute of Technology & Engineering (KITE), Raipur, pp 214–219

  22. Leelavathy N, Prasad EV, Kumar SS (2012) A scene based video watermarking in discrete multi wavelet domain. Int J Multi Discip Sci Eng. 3(7):12–16

    Google Scholar 

  23. Meenakshi K, Srinivasa Rao C, Satya Prasad K (2014) A scene based video watermarking using slant transform. IETE J Res 60(4):276–287. http://www.tandfonline.com/doi/…/03772063.2014.961570

  24. Radwan NI, Salem NM, El Adawy MI (2012) Histogram correlation for video scene change detection. In: Wyld DC et al (eds) Advances in computer science, engineering & applications. AISC, vol 166, pp 765–773. https://link.springer.com/…/978-3-642-30157-5_76.pdf

  25. Chhasatia NJ, Trivedi CU, Shah KA (2013) Performance evaluation of localized person based scene detection and retrieval in video. In: Image information processing (ICIIP), 2013 IEEE second international conference, Shimla, pp 78–83. https://doi.org/10.1109/iciip.2013.6707559

  26. Hong S, Cho B, Choe Y (2013) Adaptive thresholding for scene change detection. In: Consumer electronics IEEE third international conference on consumer electronics, Berlin (ICCE-Berlin), pp 75–78. https://doi.org/10.1109/icce-berlin.2013.6698056

  27. Shukla D, Sharma M, Mithlesh CM (2015) Scene change detection using block processing method. J Appl Sci Res TJASR 2(2):103–110. http://www.journals.wsrpublishing.com/index.php/tjasr/…/22

  28. Adhikari P, Neeta G, Jyothi D, Hogade BG (2008) Abrupt scene change detection. World Acad Sci Eng Technol 42:711–716

    Google Scholar 

  29. Yeo BL, Liu B (1995) Rapid scene analysis on compressed video. IEEE Trans Circ Syst Video Technol 5(6):533–544. https://doi.org/10.1109/76.475896

    Article  Google Scholar 

Download references

Acknowledgements

The author would like to thank Electronics and Telecommunication Engineering department, Bhilai Institute of Technology, Durg (C.G), India or providing facilities to carry out this work. We would also like to thank the editor and the anonymous reviewers for their valuable suggestions

Author information

Authors and Affiliations

  1. Department of Information Technology, Shri Shankaracharya Group of Institution, Bhilai, 490020, India

    Dolley Shukla

  2. Department of Electr. and Telecomm. Engineering, Bhilai Institute of Technology, Durg, 491001, India

    Manisha Sharma

Authors
  1. Dolley Shukla
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Manisha Sharma
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Dolley Shukla.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Shukla, D., Sharma, M. A novel video scene change detection using successive estimation of statistical measure and HiBiSLI method. Int. j. inf. tecnol. 11, 47–54 (2019). https://doi.org/10.1007/s41870-018-0146-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s41870-018-0146-8

Keywords

Search

Navigation