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Related Experiment Videos

Distributed video streaming using multiple description coding and unequal error protection.

Joohee Kim1, Russell M Mersereau, Yucel Altunbasak

  • 1Center for Signal and Image Processing, Georgia Institute of Technology, Atlanta, GA 30332-0250, USA. joohee@inha.ac.kr

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|July 21, 2005
PubMed
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This study introduces a novel distributed video streaming framework using unbalanced multiple description coding (MDC) and unequal error protection. The method enhances video quality by 1-6 dB over varied network paths, outperforming balanced MDC.

Area of Science:

  • Computer Science
  • Electrical Engineering
  • Multimedia Systems

Background:

  • Distributed video streaming faces challenges with varying network path characteristics.
  • Multiple Description Coding (MDC) offers robustness but often assumes balanced path conditions.
  • Unequal error protection is crucial for optimizing data transmission over heterogeneous networks.

Purpose of the Study:

  • To propose a distributed video streaming framework utilizing unbalanced MDC and unequal error protection.
  • To develop a rate allocation algorithm that minimizes distortion over multipath transport with differing path characteristics.
  • To improve the quality of experience for video streaming over diverse and time-varying network conditions.

Main Methods:

  • Implementation of an unbalanced MDC approach tailored for wavelet-based video coders.

Related Experiment Videos

  • Development of a TCP-friendly rate allocation algorithm for coordinated transmission and channel coding rate adjustments.
  • Simulations evaluating performance under time-varying network conditions with asymmetric path bandwidths.

    • Main Results:

    • The proposed unbalanced MDC combined with the rate allocation algorithm achieved 1-6 dB higher peak signal-to-noise ratio (PSNR) compared to balanced MDC.
    • The framework effectively exploits multipath transport benefits even when path characteristics are significantly different.
    • Demonstrated superior performance under dynamic network conditions.

    Conclusions:

    • The proposed unbalanced MDC and rate allocation strategy significantly enhances video streaming quality over heterogeneous networks.
    • This framework provides a robust solution for real-world video transmission scenarios with unpredictable network dynamics.
    • The findings offer a valuable contribution to efficient and high-quality distributed video streaming.