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Related Experiment Video

Updated: Jun 17, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

Delay constrained multiplexing of video streams using dual-frame video coding.

Mayank Tiwari1, Theodore Groves, Pamela C Cosman

  • 1Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093-0407, USA. mayank@ece.ucsd.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|December 24, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces improved dual-frame video coding with high-quality Long-Term Reference (LTR) frames to efficiently multiplex multiple video streams. The proposed methods significantly reduce mean squared error for all streams, outperforming existing techniques.

Related Experiment Videos

Last Updated: Jun 17, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

Area of Science:

  • Video compression and transmission
  • Digital signal processing
  • Multimedia systems

Background:

  • Transmitting multiple video streams over shared channels presents multiplexing challenges.
  • Existing methods struggle to balance quality and efficiency, especially with high-quality reference frames.

Purpose of the Study:

  • To propose novel multiplexing methods for dual-frame video coding using high-quality Long-Term Reference (LTR) frames.
  • To reduce the sum of mean squared error (MSE) across multiple video streams transmitted over a shared channel.

Main Methods:

  • Implemented dual-frame video coding with enhanced Long-Term Reference (LTR) frames.
  • Developed a motion activity detection algorithm for optimal LTR frame placement and bit allocation.
  • Designed an adaptive buffer-constrained rate-control algorithm to manage LTR frame bit requirements.
  • Studied video stream multiplexing under H.264/AVC encoder delay buffer constraints.

Main Results:

  • Achieved considerable improvements in reducing the sum of MSE compared to baseline H.264 rate control and prior multiplexing methods.
  • Demonstrated effective integration of high-quality LTR frames within delay buffer constraints through temporal offsetting.
  • Validated the efficacy of the proposed adaptive rate-control and motion activity detection algorithms.

Conclusions:

  • The proposed multiplexing strategy effectively enhances dual-frame video coding performance for multiple streams.
  • The method offers a superior solution for video transmission quality and efficiency under practical network constraints.
  • Future work could explore further optimizations for diverse video content and network conditions.