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Related Experiment Video

Updated: Jun 2, 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

Optimal compression plane for efficient video coding.

Anmin Liu1, Weisi Lin, Manoranjan Paul

  • 1School of Computer Engineering, Nanyang Technological University, Singapore 639798. liua0002@ntu.edu.sg

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|April 12, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a novel video compression method that forms frames in a non-XY plane to reduce redundancy. This adaptive approach enhances video coding performance across various standards and content types.

Related Experiment Videos

Last Updated: Jun 2, 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
  • Digital Signal Processing
  • Image and Video Technology

Background:

  • Current video coding standards process frames in the XY plane, treating spatial and temporal redundancy separately.
  • This separation limits the full exploitation of inherent video redundancy for efficient compression.

Purpose of the Study:

  • To investigate a new video compression method allowing frames to be formed in a non-XY plane.
  • To propose an adaptive optimal compression plane determination process for enhanced video redundancy reduction.

Main Methods:

  • Developing a preprocessing step that determines an optimal compression plane based on signal correlation.
  • Forming video frames in a plane defined by two axes (X, Y, or T) that best represent signal correlation.
  • Integrating this method with existing video coding schemes for both lossless and lossy compression.

Main Results:

  • The proposed method significantly improves video coding performance across multiple standards, including Motion JPEG variants and H.264.
  • Demonstrated effectiveness for both lossless and lossy compression scenarios.
  • Showcased adaptability to videos with diverse visual content.

Conclusions:

  • Forming frames in an adaptive, non-XY plane effectively exploits video redundancy.
  • The proposed preprocessing step offers a simple yet powerful enhancement for existing video coding standards.
  • This approach leads to improved compression efficiency for a wide range of video data.