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Curvilinear Motion: Rectangular Components

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Related Experiment Video

Updated: Jul 5, 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

A fully scalable motion model for scalable video coding.

Meng-Ping Kao1, Truong Nguyen

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

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|May 17, 2008
PubMed
Summary
This summary is machine-generated.

This study defines motion scalability requirements for video codecs and proposes a new scalable motion model. The model enhances efficiency in low bit rate or small image size decoding scenarios.

Related Experiment Videos

Last Updated: Jul 5, 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
  • Scalable video coding
  • Motion estimation

Background:

  • Motion information scalability is crucial for efficient video decoding, particularly at low bit rates or small resolutions.
  • Existing scalable coding techniques for motion information lack clear functional definitions and integration strategies with other scalability types.

Purpose of the Study:

  • To define essential functionalities for motion scalability in video codecs.
  • To propose a fully scalable motion model with optimized encoding techniques.
  • To introduce a rate-distortion optimized motion estimation algorithm for enhanced efficiency.

Main Methods:

  • Defining functional requirements for motion scalability.
  • Developing a novel fully scalable motion model.
  • Implementing tailored encoding techniques to reduce scalability overhead.
  • Integrating a rate-distortion optimized motion estimation algorithm.

Main Results:

  • The proposed scalable motion model minimizes coding overhead.
  • The associated rate-distortion optimized motion estimation enhances efficiency across various decoding scenarios.
  • Simulation results demonstrate the superiority of the proposed model over non-scalable approaches.

Conclusions:

  • A comprehensive framework for motion scalability in video codecs has been established.
  • The proposed model and algorithm offer significant improvements in efficiency for scalable video coding.
  • This work addresses key challenges in integrating motion scalability with other video coding scalabilities.