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

Joint source and channel coding for 3-D scene databases using vector quantization and embedded parity objects.

Dihong Tian1, Junlin Li, Ghassan AiRegib

  • 1Cisco Systems, Inc., San Jose, CA 95134, USA. dihong.tian@ieee.org

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|June 6, 2007
PubMed
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

Genomic characterization of the convergence of multidrug resistance and virulence in Salmonella Enteritidis from a broiler slaughterhouse in China.

International journal of food microbiology·2026
Same author

An active and multifunctional curcumin-zein composite film for shelf-life extension in sustainable food packaging.

Food chemistry: X·2026
Same author

An Interpretable CT-based Prediction Model Assists in Predicting Length of Stay in Ulcerative Colitis Patients: A Multicenter Study.

Academic radiology·2026
Same author

Single-cell transcriptomic analyses provide insights into TME related with tumor-promoting in AIDS-CNS-DLBCL.

Genomics·2026
Same author

CRISPR/Cas9 Recombineering with Bacteriophage Recombinases Enables Efficient and Scarless Genome Editing in <i>Cupriavidus necator</i> H16.

ACS synthetic biology·2026
Same author

Rare-codon-tuned fluorescent biosensor for high-throughput selection of Escherichia coli strain capable of L-arginine overproduction.

BMC microbiology·2026
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 an object-oriented system for efficient 3-D scene coding and streaming. It significantly reduces receiving distortion in 3-D databases using adaptive quantization and parity objects for improved lossy compression.

Area of Science:

  • Computer Graphics
  • Data Compression
  • Networked Multimedia Systems

Background:

  • Three-dimensional (3-D) graphic scenes comprise mesh objects with varying display importance.
  • Efficient coding and streaming of 3-D scene databases are challenging in lossy, rate-constrained environments.
  • Existing methods often lack adaptive precision and robust packet loss resilience for complex 3-D data.

Purpose of the Study:

  • To propose an object-oriented system for efficient coding and streaming of 3-D scene databases.
  • To enhance performance in lossy and rate-constrained environments through adaptive quantization and error resilience.
  • To reduce receiving distortion by jointly optimizing source and channel coding while preserving object independence.

Main Methods:

  • Exploited Vector Quantization (VQ) to code 3-D scene databases into multiresolution hierarchies.

Related Experiment Videos

  • Implemented adaptive quantization precisions for objects and layers based on a weighted distortion model.
  • Developed a rate-distortion optimization framework incorporating Forward Error Correction (FEC) 'parity objects' for enhanced packet loss resilience.

    • Main Results:

    • Achieved significant reduction in receiving distortion for 3-D databases compared to conventional methods.
    • Demonstrated effective joint source and channel coding by treating graphic objects preferentially.
    • Preserved manipulation independency of objects during transport through scalable coding and respective packet sequences.

    Conclusions:

    • The proposed object-oriented system offers superior distortion-rate performance for 3-D scene databases.
    • Adaptive quantization and parity objects are key to efficient and resilient streaming of 3-D data.
    • Joint optimization of source and channel coding, while maintaining object independence, is crucial for advanced 3-D data transmission.