Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Optimal erasure protection strategy for scalably compressed data with tree-structured dependencies.

Johnson Thie1, David Taubman

  • 1School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney 2052, Australia. johnson.thie@ieee.org

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|December 24, 2005
PubMed
Summary

This study introduces an unequal erasure protection algorithm for transmitting scalable data over packet networks. The method effectively utilizes tree-structured data dependencies for improved data transmission over lossy channels.

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

Area of Science:

  • Information Theory
  • Computer Networks
  • Data Compression

Background:

  • Scalable data compression is crucial for efficient transmission over lossy channels.
  • Previous methods often assumed linear dependencies, limiting performance with complex data structures.
  • Packet networks and erasure channels present unique challenges for data integrity.

Purpose of the Study:

  • To develop an unequal erasure protection algorithm for scalable data transmission.
  • To leverage general dependency structures, particularly tree-structured dependencies, in data.
  • To optimize channel coding for improved data resilience over erasure channels.

Main Methods:

  • An unequal erasure protection algorithm is proposed.
  • Source elements are clustered based on their dependency structure.

Related Experiment Videos

  • Optimal channel codes are assigned to packet clusters under transmission length constraints.

    • Main Results:

    • The algorithm effectively utilizes scalable data with tree-structured dependencies.
    • Experimental results demonstrate the benefits of exploiting data's actual dependency structure.
    • Improved data transmission over lossy packet networks is achieved.

    Conclusions:

    • Exploiting data dependency structures enhances transmission efficiency over erasure channels.
    • The proposed algorithm offers a flexible approach for unequal erasure protection.
    • This method advances the transmission of complex, scalable data sources.