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Related Experiment Video

Updated: May 11, 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

3D high-efficiency video coding for multi-view video and depth data.

Karsten Muller1, Heiko Schwarz, Detlev Marpe

  • 1Image Processing Department, Fraunhofer Institute for Telecommunications-Heinrich-Hertz-Institut, Berlin 10587, Germany. karsten.mueller@hhi.fraunhofer.de

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|May 30, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces an enhanced High Efficiency Video Coding (HEVC) standard for multi-view video and depth data. The new methods achieve significant bit rate savings for advanced video coding applications.

Related Experiment Videos

Last Updated: May 11, 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 Science
  • Electrical Engineering
  • Multimedia Systems

Background:

  • High Efficiency Video Coding (HEVC) is a standard for video compression.
  • Multi-view video and depth data coding presents unique challenges for efficient compression.
  • Existing HEVC standards may not optimally handle complex multi-view and depth information.

Purpose of the Study:

  • To extend the HEVC standard for efficient coding of multi-view video and associated depth data.
  • To develop novel coding tools for improved compression of dependent video views and depth information.
  • To ensure high-quality intermediate view synthesis from decoded data.

Main Methods:

  • Integration of disparity-compensated prediction, inter-view motion parameter, and inter-view residual prediction.
  • Development of new intra coding modes, modified motion compensation, and motion vector coding for depth data.
  • Implementation of motion parameter inheritance and a novel encoder control with view synthesis optimization.

Main Results:

  • The proposed HEVC extension offers significant bit rate savings.
  • Achieved 50% bit rate reduction compared to HEVC simulcast.
  • Demonstrated 20% bit rate savings over a basic multi-view HEVC extension.

Conclusions:

  • The developed HEVC extension provides substantial improvements in coding efficiency for multi-view video with depth.
  • The approach supports flexible bitstream extraction for various video formats (2D, stereo, multi-view plus depth).
  • The novel coding tools and encoder control enable high-quality view synthesis and efficient data compression.