Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Videos

Highly scalable video compression with scalable motion coding.

Andrew Secker¹, David Taubman

¹The University of New South Wales, Sydney, Australia.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|August 26, 2004

Summary

This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

A new compression strategy to reduce the size of nanopore sequencing data.

Genome research·2025

Same author

Exploration of Learned Lifting-Based Transform Structures for Fully Scalable and Accessible Wavelet-Like Image Compression.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2024

Same author

JPEG 2000 Extensions for Scalable Coding of Discontinuous Media.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2023

Same author

Transform Quantization for CNN Compression.

IEEE transactions on pattern analysis and machine intelligence·2021

Same author

Gaussian Lifting for Fast Bilateral and Nonlocal Means Filtering.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2020

Same author

Fast Optical Flow Extraction from Compressed Video.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2020

Same journal

Change-Prior-Guided Unsupervised Change Detection of Heterogeneous Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same journal

AgonicDreamer: Enhancing Multi-View Consistency in Text-to-3D Generation via Rectified Score Distillation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same journal

BiCM-Prompt: Bidirectional Cross-Modal Prompt Tuning for Class-Incremental Learning on Multisource Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same journal

GoP-based Quality Enhancement on Video Compression.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same journal

Align then Tensorize: Multi-Level Consistent Anchor Graph Learning for Scalable Multi-View Clustering.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same journal

Beyond Fidelity: Diverse Image Synthesis via Retrieval-Augmented Diffusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

See all related articles

This study introduces a wavelet-based scalable video compression method. It achieves efficient performance across various bit rates by making both video data and motion information scalable, improving low-bitrate efficiency.

Area of Science:

Digital signal processing
Video compression technology
Wavelet transforms

Background:

Scalable video coding requires efficient scalability for both video data and motion information.
Existing methods often struggle to maintain efficiency across a wide range of bit rates.

Purpose of the Study:

To propose a wavelet-based, highly scalable video compression scheme.
To introduce rate-scalable motion coding for enhanced video compression efficiency.

Main Methods:

Constructing separate quality layers for coded sample data and coded motion parameters.
Employing motion parameter quantization when motion layers are truncated.
Developing a linear model to describe motion parameter quantization effects on video distortion.

Related Experiment Videos

Proposing two methods, including one utilizing the linear model, to determine optimal motion and subband bit rate tradeoffs.

Main Results:

The proposed method demonstrates a small cost associated with achieving scalability.
Significant performance improvements are observed at low bit rates compared to lossless motion coding.
The linear model-based tradeoff optimization method performs comparably to brute force search, validating the model.

Conclusions:

The proposed wavelet-based scalable video compression scheme effectively addresses the need for rate-scalable motion coding.
The approach offers considerable performance gains, particularly at low bit rates.
The developed linear model provides a valid and efficient way to optimize rate-scalability tradeoffs.