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Related Experiment Videos

Resource-constrained rate control for Motion JPEG2000.

Joseph C Dagher1, Ali Bilgin, Michael W Marcellin

  • 1Department of Electrical and Computer Engineering, The University of Arizona, Tucson, AZ 85721, USA. joseph@ece.arizona.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 5, 2008
PubMed
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Highly scalable video coding ensures consistent quality across variable bitrate networks. New rate allocation methods improve quality control for multiplexed video streams, demonstrating significant benefits with Motion JPEG2000.

Area of Science:

  • Computer Science
  • Electrical Engineering

Background:

  • Heterogeneous networks and time-varying channels necessitate advanced video coding solutions.
  • Fine scalability in image and video coders is crucial for adaptable traffic management.

Purpose of the Study:

  • To develop rate allocation methods for constant quality video under buffer constraints.
  • To extend these methods for multiplexed video sequences, ensuring uniform quality across channels.

Main Methods:

  • Proposed two leaky-bucket rate allocation algorithms for scalable video coding.
  • Extended a specific method (DBRC) for multi-sequence channel capacity allocation.
  • Evaluated performance using Motion JPEG2000.

Main Results:

Related Experiment Videos

  • Achieved constant video quality under buffer constraints.
  • Demonstrated effective capacity allocation for multiplexed streams.
  • Substantial benefits observed in experimental results.

    • Conclusions:

    • The proposed leaky-bucket rate allocation methods enhance quality control in scalable video coding.
    • The extended DBRC method successfully manages quality across multiplexed video sequences.
    • Scalable video coding offers significant advantages for modern communication networks.