Skip to main content
SpringerLink
Log in

Performance of multi camera views’ detection using MPEG-7 visual signature tools

  • Special Issue
  • Published:
Opto-Electronics Review

Abstract

The paper presents experimental results for the detection of related video streams (views) of multi camera system using MPEG-7 visual signature tools. This detection can be used for identification of video streams stored in video repositories which constitute the same multi camera recording set. Two signature tools have been investigated: Image Signature descriptor and Video Signature descriptor. The motivation for the usage of the tools designed primarily for replica detection is the fact that the video material produced by multi camera system typically consists of a few related video streams which are similar to each other and, thus, the video streams produced by multi camera system can be regarded as semi-replicas as they contain predominantly the same scenes or objects recorded at the same time. Experiments show that only in some restricted scenarios of a multi camera system setup the MPEG-7 visual signature tools can be used for reliable detection of multi camera views. These reliable scenarios include systems having cameras with perpendicular optical axes and “far” scene.

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

Similar content being viewed by others

References

  1. B.S. Manjunath, P. Salembier, and T. Sikora, Introduction to MPEG-7: Multimedia Content Description Interface, edited by John Wiley & Sons Inc., New York, 2002.

    Google Scholar 

  2. M. Bober and P. Brasnett, “MPEG-7 visual signature tools”, IEEE I. Conf. Multimedia and Expo, pp. 1540–1543, New York, 2009.

  3. P. Brasnett, S. Paschalakis, and M. Bober, “Recent developments on standardisation of MPEG-7 visual signature tools”, IEEE I. Conf. Multimedia and Expo, pp. 1347–1352, Singapore, 2010.

  4. P. Brasnett and M. Bober, “Fast and robust image identification”, 19th Int. C. Patt. Recog., pp. 871–876, Tampa, 2008.

  5. P. Brasnett and M. Bober, “A Robust visual identifier using the trace transform”, Proc. Visual Information Engineering Conference, pp. 25–27, London, 2007.

  6. M. Bober and S. Paschalakis, “MPEG image and video signature”, in MPEG Representation of Digital Media, pp. 81–95, edited by L. Chiariglione, Springer, New York, 2012.

    Chapter  Google Scholar 

  7. A. Vetro, M. McGuire, W. Matusik, A. Behrens, J. Lee, and H. Pfister, “Multiview video test sequences from MERL”, ISO/IEC JTC1/SC29/WG11 doc. M12077, Busan, Korea, 2005.

  8. M. Domański, T. Grajek, K. Klimaszewski, M. Kurc, O. Stankiewicz, J. Stankowski, and K. Wegner, “Poznań multiview video test sequences and camera parameters”, ISO/IEC JTC1/SC29/WG11 doc. M17050, Xian, China, 2009.

  9. A. Smolic, “MPEG-3DAV FhG-HHI Test Data”, available at https://www.3dtv-research.org/downloadlist.php?dat&s=61

Download references

Author information

Authors and Affiliations

  1. Institute of Radioelectronics, Warsaw University of Technology, 15/19 Nowowiejska Str., 00-665, Warszawa, Poland

    K. Wnukowicz & G. Galiński

Authors
  1. K. Wnukowicz
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. G. Galiński
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to K. Wnukowicz.

About this article

Cite this article

Wnukowicz, K., Galiński, G. Performance of multi camera views’ detection using MPEG-7 visual signature tools. Opto-Electron. Rev. 21, 79–85 (2013). https://doi.org/10.2478/s11772-012-0044-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.2478/s11772-012-0044-8

Keywords

Search

Navigation