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Analysis of frame-compatible subsampling structures for efficient 3DTV broadcast

  • Raúl MohedanoEmail author
  • Carlos Muñoz
  • Julián Cabrera
  • Fernando Jaureguizar
  • Narciso García
Article

Abstract

The evolution of the television market is led by 3DTV technology, and this tendency can accelerate during the next years according to expert forecasts. However, 3DTV delivery by broadcast networks is not currently developed enough, and acts as a bottleneck for the complete deployment of the technology. Thus, increasing interest is dedicated to stereo 3DTV formats compatible with current HDTV video equipment and infrastructure, as they may greatly encourage 3D acceptance. In this paper, different subsampling schemes for HDTV compatible transmission of both progressive and interlaced stereo 3DTV are studied and compared. The frequency characteristics and preserved frequency content of each scheme are analyzed, and a simple interpolation filter is specially designed. Finally, the advantages and disadvantages of the different schemes and filters are evaluated through quality testing on several progressive and interlaced video sequences.

Keywords

3DTV Frame-compatible format Side-by-side Subsampling Interpolation 

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References

  1. Díez-Ajenjo M. A., Capilla P. (2010) Spatio-temporal contrast sensitivity in the cardinal directions of the colour space. A review. Journal of Optometry 3(1): 2–19CrossRefGoogle Scholar
  2. Dubois E. (1985) The sampling and reconstruction of time-varying imagery with application in video systems. Proceedings of the IEEE 73(4): 502–522CrossRefGoogle Scholar
  3. Fairchild M. D. (2005) Color appearance models (2nd ed.). Wiley-IS&T, Chichester, UK, pp 26–30Google Scholar
  4. HDMI Licensing, LLC. (May 2009). High definition multimedia interface: Specification version 1.4a.Google Scholar
  5. ISO/IEC JTC1/SC29/WG11. (2010). Draft call for proposals on 3D video coding technology, Output Doc. N11679.Google Scholar
  6. ITU-R Broadcasting Service. (1994). Test pictures and sequences for subjective assessments of digital codecs conveying signals produced according to Rec. ITU-R BT.601, Recommendation ITU-R BT.802-1.Google Scholar
  7. ITU-R Broadcasting Service. (2002). Methodology for the subjective assessment of quality of television pictures, Recommendation ITU-R BT.500-11.Google Scholar
  8. ITU-R Broadcasting Service. (2009). Features of three-dimensional television video systems for broadcasting, report ITU-R BT.2160.Google Scholar
  9. ITU-T and ISO/IEC JTC1. (2010). Advanced video coding for generic audiovisual services, ITU-T recommendation H.264 and ISO/IEC 14496-10 (MPEG-4 AVC).Google Scholar
  10. Kelly D. H. (1979) Motion and vision II: Stabilized spatio-temporal threshold surface. Journal of the Optical Society of America 69(10): 1340–1349CrossRefGoogle Scholar
  11. Kelly D. H. (1983) Spatiotemporal variation of chromatic and achromatic contrast thresholds. Journal of the Optical Society of America 73(6): 742–749CrossRefGoogle Scholar
  12. King, P. (2011). Global 3D-enabled device sales forecast. Strategy Analytics Inc. http://www.strategyanalytics.com/default.aspx?mod=reportabstractviewer&a0=6153
  13. Mannos J. L., Sakrison D. J. (1974) The effects of a visual fidelity criterion on the encoding of images. IEEE Transactions on Information Theory 20(4): 525–536zbMATHCrossRefGoogle Scholar
  14. Merkle P., Muller K., Wiegand T. (2010) 3D Video: Acquisition, coding, and display. IEEE Transactions on Consumer Electronics 56(2): 946–950CrossRefGoogle Scholar
  15. Nintendo®. (2011). Nintendo 3DS TM hardware specifications. March 27, 2011. http://www.nintendo.com/3ds/hardware/specs
  16. Oppenheim A. V., Schafer R. W. (2009) Discrete-time signal processing. Prentice Hall, New Jersey, USAGoogle Scholar
  17. Sullivan J. R., Ray L. A., Miller R. (1991) Design of minimum visual modulation halftone patterns. IEEE Transactions on Systems, Man and Cybernetics 21(1): 33–38CrossRefGoogle Scholar
  18. Theußl, T., Hauser, H., Gröller, E., Sullivan, J. R., Ray, L. A., & Miller, R. (2000). Mastering windows: Improving reconstruction. IEEE/ACM SIGGRAPH Symposium on Volume Visualization, pp. 101–108.Google Scholar
  19. Vetro A., Tourapis A. M., Muller K., Chen T. (2011) 3D-TV content storage and transmission. IEEE Transactions on Broadcasting 57(2(Part 2)): 384–394CrossRefGoogle Scholar
  20. Wang Z., Bovik A. C. (2009) Mean squared error: Love it or leave it?. IEEE Signal Processing Magazine 26(1): 98–117CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Raúl Mohedano
    • 1
    Email author
  • Carlos Muñoz
    • 1
  • Julián Cabrera
    • 1
  • Fernando Jaureguizar
    • 1
  • Narciso García
    • 1
  1. 1.Grupo de Tratamiento de ImágenesUniversidad Politécnica de Madrid, E.T.S.I. TelecomunicaciónMadridSpain

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