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Related Experiment Video

Updated: May 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

Rate-distortion optimized rate control for depth map-based 3-D video coding.

Sudeng Hu1, Sam Kwong, Yun Zhang

  • 1Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA 90089, USA. sudenghu@usc.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|September 28, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces an optimized bit allocation method for 3-D video coding, improving rate-distortion efficiency and bit rate accuracy for texture and depth maps across multiple views.

Related Experiment Videos

Last Updated: May 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 Science
  • Electrical Engineering
  • Multimedia Systems

Background:

  • 3-D video coding requires efficient allocation of bits between texture and depth information.
  • Understanding the rate-distortion (R-D) characteristics and inter-view quality dependencies is crucial for optimizing 3-D video compression.

Purpose of the Study:

  • To propose a novel rate control scheme with optimized bit allocation for 3-D video coding.
  • To enhance the rate-distortion efficiency and bit rate accuracy of 3-D video compression algorithms.

Main Methods:

  • Investigated R-D characteristics of texture and depth maps and their quality dependency between virtual and coded views.
  • Developed an optimal bit allocation scheme for texture and depth maps across different views.
  • Employed a simplified model parameter estimation for accelerated coding.

Main Results:

  • The proposed scheme demonstrates superior R-D efficiency compared to existing benchmark algorithms.
  • Experimental results show high bit rate accuracy in allocating bits for 3-D video sequences.
  • The algorithm effectively manages bit allocation for texture and depth data in multi-view scenarios.

Conclusions:

  • The novel rate control scheme significantly improves 3-D video coding performance.
  • Optimized bit allocation enhances both compression efficiency and visual quality in 3-D video.
  • The simplified estimation scheme contributes to faster coding processes without compromising performance.