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Related Experiment Video

Updated: Jun 18, 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

Robust distributed multiview video compression for wireless camera networks.

Chuohao Yeo1, Kannan Ramchandran

  • 1University of California, Berkeley, CA 94720, USA. chyeo@i2r.a-star.edu.sg

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|November 26, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a new framework for reliable video transmission from wireless cameras, even with packet loss. The novel approach uses camera view correlation to improve robustness and outperforms existing methods.

Related Experiment Videos

Last Updated: Jun 18, 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:

  • Computer Vision
  • Wireless Communication
  • Video Compression

Background:

  • Wireless camera networks often suffer from packet drops, compromising video data integrity.
  • Robust video delivery is crucial for applications relying on distributed camera systems.

Purpose of the Study:

  • To develop a robust framework for video data delivery from wireless camera networks with packet loss.
  • To exploit inter-camera correlation for enhanced video transmission robustness.

Main Methods:

  • Proposed two models: view-synthesis-based and disparity-based correlation, to capture relationships between overlapping camera views.
  • Utilized distributed source coding to leverage inter-camera correlation for robustness.
  • Implemented an H.263+ based video compression method.

Main Results:

  • The proposed framework demonstrates robustness against packet drops in wireless networks.
  • Achieved up to 2.5 dB performance improvement over baseline methods (H.263+ with FEC, H.263+ with intra refresh) on bursty packet erasure channels.
  • Showed insensitivity to the number and density of additional camera views.

Conclusions:

  • The novel framework offers a robust, low-complexity solution for video delivery in challenging wireless environments.
  • The approach meets tight latency constraints without requiring inter-camera communication.
  • Exploiting inter-camera correlation via distributed source coding is an effective strategy for robust video transmission.