Skip to main content
SpringerLink
Log in

Reducing input data via image categorization to improve the speed of copyright content management systems

  • Regular Paper
  • Published:
Optical Review Aims and scope Submit manuscript

Abstract

An optical correlator has the advantage of high data transfer speed and parallel operation. However, in copyright content management systems (CCMSs), the numerous video files that need to be downloaded from the Internet and input to the optical correlator constitute a bottleneck. This paper proposes an image categorization method for CCMSs that uses the difference in the color features between animation and live-action images to remove this bottleneck and increase the speed of CCMSs. The results of experiments conducted indicate that the proposed method achieves a live-action video true rejection rate of 86.7 % and an animation video false rejection rate of 13.3 %. This indicates that the proposed method can improve the overall speed of a CCMS more than twice the original speed.

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
Fig. 6
Fig. 7

Similar content being viewed by others

References

  1. E. Watanabe, L. Kitabayashi, T. Takahashi, J. Mizuno, M. Kubo, K. Kodate: ISCIT (2010), p. 401

  2. L. Lin, C. Chen, M.L. Shyu, S.C. Chen, MultiMedia. IEEE 18, 32 (2011)

    Google Scholar 

  3. Y. Sun, K. Sudo, Y. Taniguchi: TREC Video retrieval evaluation 2013

  4. X. Wu, S. Satoh, IEEE Trans. Circuits Syst. Video Technol. 23, 1054 (2013)

    Article  Google Scholar 

  5. A. Sarkar, P. Ghosh, E. Moxley, B.S. Manjunath, Proc. SPIE 6820, 68200E (2008)

    Article  ADS  Google Scholar 

  6. D. Matsubara, A. Hiroike: IEEE International Symposium on Multimedia (2009) p. 312

  7. A. VanderLugt, IEEE Trans. Inf. Theory 10, 139 (1964)

    Article  Google Scholar 

  8. C.S. Weaver, J.W. Goodman, Appl. Opt. 5, 1248 (1966)

    Article  ADS  Google Scholar 

  9. X. Zeng, T. Inoue, N. Fukuchi, J. Bai, Opt. Express 19, 12594 (2011)

    Article  ADS  Google Scholar 

  10. Y. Kobayashi, H. Toyoda, N. Mukohzaka, N. Yoshida, T. Hara, Opt. Rev. 3, 403 (1996)

    Article  Google Scholar 

  11. A. Kutanov, Y. Ichioka, Opt. Rev. 3, 258 (1996)

    Article  Google Scholar 

  12. T. Manzur, J. Zeller, S. Serati, Appl. Opt. 51, 4976 (2012)

    Article  ADS  Google Scholar 

  13. X. Zeng, J. Bai, C. Hou, G. Yang, Opt. Lett. 36, 1383 (2011)

    Article  ADS  Google Scholar 

  14. T. Zheng, L. Cao, Q. He, G. Jin, Appl. Opt. 52, 2841 (2013)

    Article  ADS  Google Scholar 

  15. E. Watanabe, Y. Ichikawa, R. Akiyama, K. Kodate, Jpn. J. Appl. Phys. 47, 5964 (2008)

    Article  ADS  Google Scholar 

  16. E. Watanabe, K. Ikeda, K. Kodate, Proc. SPIE 8498, 84980A (2012)

    Article  ADS  Google Scholar 

  17. L. Kitabayashi, E. Watanabe, K. Kodate: J Intellect Prop Assoc Jap 7 (2011) 43 (in Japanese)

  18. H. Horimai, X. Tan, J. Li, Appl. Opt. 44, 2575 (2005)

    Article  ADS  Google Scholar 

  19. Number of Films Released in Japan. http://unijapan.org/statistics/release.html UNIJAPAN (in Japanese)

  20. K. Ikeda, E. Watanabe: Imaging and Applied Optics (2014) JW3A.5

  21. K. Fukunaga: Introduction to statistical pattern recognition, 2nd edn. (Academic Press, 1990)

  22. Report on Results of Field Survey on Intellectual Property Rights Infringement. http://www.meti.go.jp/meti_lib/report/2012fy/E002243.pdf. Japan’s Ministry of Economy, Trade and Industry (in Japanese)

Download references

Acknowledgments

The authors would like to thank Professor K. Kodate and Doctor J. Mizuno at Photonic System Solutions Inc. for valuable discussions throughout this work.

Author information

Authors and Affiliations

  1. The University of Electro-Communications, Chofu, Tokyo, 182-8585, Japan

    Kanami Ikeda & Eriko Watanabe

Authors
  1. Kanami Ikeda
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Eriko Watanabe
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Kanami Ikeda.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ikeda, K., Watanabe, E. Reducing input data via image categorization to improve the speed of copyright content management systems. Opt Rev 22, 93–98 (2015). https://doi.org/10.1007/s10043-015-0034-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10043-015-0034-4

Keywords

Search

Navigation