Resolution-Improvement Scheme for Wireless Video Transmission

  • Liang Zhou
  • Athanasios Vasilakos
  • Yan Zhang
  • Gabiel-Miro Muntean
Part of the Studies in Computational Intelligence book series (SCI, volume 280)

Abstract

In recent years, wireless video transmission has emerged as one of the high growth applications of wireless communication technology. However, this error-prone network is packet based where many potential reasons may result in packet loss which has a devastating effect on the visual quality of images at the receiver. In this work, we study a coordinated application of Error-Resilient (ER) and Super-Resolution (SR) to enhance the resolution of image transmitted over wireless networks. Compressed video bitstreams require protection from channel errors in a wireless channel. The 3-D set partitioning in hierarchical trees (SPIHT) coder has proved its efficiency and its real-time capability in compression of video. A forward-error-correcting (FEC) channel (RCPC) code combined with a single automatic-repeat request (ARQ) proved to be an effective means for protecting the bitstream. Furthermore, a robust SR algorithm is proposed in the presence of different kinds of packet loss rate to enhance the image resolution. Experimental results indicate that the proposed robust resolution-enhancement scheme outperforms the competing methods from the aspects of PSNR (Peak-Signal-to-Noise Ratio) and visual quality under different packet loss rates.

Keywords

Packet Loss Packet Loss Rate Error Concealment Super Resolution Unequal Error Protection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Kung, W., Kim, C., Kuo, C.: Spatial and temporal error concealment techniques for video transmission over noisy channels. IEEE Transactions on Circuits and Systems for Video Technology 167, 789–802 (2006)CrossRefGoogle Scholar
  2. 2.
    Hwang, J., Chen, J., Huang, Y., Tsai, T.: Layered video coding based on displaced frame difference prediction and multi-resolution block matching. IEEE Transactions on Communications 529, 1504–1513 (2004)CrossRefGoogle Scholar
  3. 3.
    Zhou, L., Zheng, B., Wei, A., Geller, B., Cui, J.: A Robust Resolution-Enhancement Scheme for Video Transmission over Mobile Ad-Hoc Networks. IEEE Transactions on Broadcasting 542, 312–321 (2008)CrossRefGoogle Scholar
  4. 4.
    Mathew, R., Arnold, J.: Efficient layered video coding using data partitioning. Signal Process: Image Communication 14, 761–782 (1999)CrossRefGoogle Scholar
  5. 5.
    Kim, C., Lee, S.: Multiple description coding of motion fields for robust video transmission. IEEE Transactions on Circuits System Video Technology 119, 999–1010 (2001)Google Scholar
  6. 6.
    Wang, Y., Lin, S.: Error-resilient video coding using multiple description motion compensation. IEEE Transactions on Circuit System Video Technology 122, 438–452 (2002)CrossRefGoogle Scholar
  7. 7.
    Zhang, R., Regunathan, S., Rose, K.: Video coding with optimal inter/intra-mode switching for packet loss resilience. IEEE Journal of Selected Areas Communication 186, 966–976 (2000)CrossRefGoogle Scholar
  8. 8.
    Steinbach, E., Farber, N., Girod, B.: Standard compatible extension of H. 263 for robust video transmission in mobile environment. IEEE Transactions on Circuit System Video Technology 76, 872–881 (1997)CrossRefGoogle Scholar
  9. 9.
    Park, S., Kang, M.: Super-Resolution Image Reconstruction: A Technical Overview. IEEE Signal Processing Magazine 203, 21–36 (2003)CrossRefGoogle Scholar
  10. 10.
    Lie, W., Gao, Z.: Video Error Concealment by Integrating Greedy suboptimization and Kalman Filtering Techniques. IEEE Transactions on Circuits and Systems Video Technology 168, 982–992 (2006)CrossRefGoogle Scholar
  11. 11.
    Shapiro, J.: Embedded image coding using zerotrees of wavelet coefficient. IEEE Transactions on Signal Processing 416, 3445–3462 (1993)CrossRefGoogle Scholar
  12. 12.
    Said, A., Pearlman, W.: A New, fast and efficient image codec based on set partitioning in hierarchical trees. IEEE Transactions on Circuits System, Video Technology 64, 243–250 (1996)CrossRefGoogle Scholar
  13. 13.
    Chen, Y., Pearlman, W.: Three-dimensional subband coding of video using the zero-tree method. In: SPIE Visual Communication Image Processing, pp. 1302–1309 (1996)Google Scholar
  14. 14.
    Kim, B., Pearlman, W.: An embedded wavelet video coder using three-dimensional set partitioning in hierarchical trees. In: Proceeding Data Compression Conference, pp. 251–260 (1997)Google Scholar
  15. 15.
    Sriraja, Y., Karp, T.: A packetized SPIHT algorithm with over complete wavelet coefficients for increased robustness. Eurasip journal on applied signal processing, special issue on frames and over complete representations in signal processing, communications, and information theory 13, 112–120 (2005)Google Scholar
  16. 16.
    Kim, J., Mersereau, R., Altunbasak, Y.: Distributed Video Streaming Using Multiple Description Coding and Unequal Error Protection. IEEE Transactions on Image Processing 147, 849–861 (2005)Google Scholar
  17. 17.
    Gogate, N., Chung, D., Panwar, S., Wang: Supporting image and video applications in a multihop radio environment using path diversity and multiple description coding. IEEE Transactions on Circuits System Video Technology 126, 777–792 (2002)CrossRefGoogle Scholar
  18. 18.
    Mohr, A., Riskin, E., Ladner, R.: Unequal loss protection: Graceful degradation of image quality over packet erasure channel through forward error correction. IEEE Journal Selected Areas Communication 186, 818–828 (2000)Google Scholar
  19. 19.
    Horn, U., Stuhlmuller, K., Girod, B.: Robust internet video transmission based on scalable coding and unequal error protection. Signal Processing: Image Communication 152, 77–94 (1999)CrossRefGoogle Scholar
  20. 20.
    Bajic, I.: Adaptive MAP Error Concealment for Dispersively Packetized Wavelet-Coded Images. IEEE Transactions on Image Processing 155, 1226–1235 (2006)CrossRefMathSciNetGoogle Scholar
  21. 21.
    Kim, J., Mersereau, R., Altunbasak, Y.: Error-resilient image and video transmission over the internet using unequal error protection. IEEE Trans. on Image Processing 122, 121–131 (2003)Google Scholar
  22. 22.
    Nasipuri, A., Castaneda, R., Das, S.: Performance of multipath routing for on-demand protocols in mobile ad-hoc networks. ACM/Kluwer mobile networks and applications 62, 339–349 (2001)CrossRefGoogle Scholar
  23. 23.
    Kang, M., Alouini, M.: Transmission of Multiple Description Codes Over Wireless Channels Using Channel Balancing. IEEE Transactions on Wireless Communications 45, 2070–2075 (2005)CrossRefGoogle Scholar
  24. 24.
    Bajic, I., Woods, J.: Domain-based multiple description coding of images and video. IEEE Transactions on Image Processing 1210, 1211–1225 (2003)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Liang Zhou
    • 1
  • Athanasios Vasilakos
    • 2
  • Yan Zhang
    • 3
  • Gabiel-Miro Muntean
    • 4
  1. 1.UEI, ENSTA-ParisTechParisFrance
  2. 2.Department of Computer and Telecommunications EngineeringUniversity of Western MacedoniaGreece
  3. 3.Simula Research LaboratoryNorway
  4. 4.School of Electronic EngineeringDublin City UniversityIreland

Personalised recommendations