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 multidimensional bit-rate control for video communication.

Eric C Reed1, Jae S Lim

  • 1Convergent Syst. Div., Harmonic Inc., White Plains, NY 10601, USA. ereed@alum.mit.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 5, 2008
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

Transforms for Intra Prediction Residuals Based on Prediction Inaccuracy Modeling.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2015
Same author

Algorithms for transform selection in multiple-transform video compression.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2013
Same author

1-D transforms for the motion compensation residual.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2010
Same journal

Hyperbolic Cycle Alignment for Infrared-Visible Image Fusion.

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

Learning Gaze Synthesizer via 3D-eye Controlled Diffusion and Cross-domain Feature Alignment.

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

Underlying Semantic Diffusion for Effective and Efficient In-Context Learning.

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

DiffRES: Unleashing Text-to-Image Diffusion Models for Generative Referring Expression Segmentation without Information Leakage.

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

Location Matters: Frequency-Spatial Dual Space Adaptation for Cross-Domain Few-Shot Segmentation.

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

BayeTopo: Bayesian-based Topology-guided Learning for Vascular Imaging Segmentation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
See all related articles

Multidimensional bit-rate control jointly adapts frame rate, resolution, and quantization for efficient buffer management. This novel approach significantly reduces bit rates, outperforming conventional methods even with limited lookahead.

Area of Science:

  • Video compression and digital signal processing.
  • Information theory and coding.
  • Computer vision and multimedia systems.

Background:

  • Conventional bit-rate control typically adjusts quantization step size while keeping frame rate and spatial resolution constant.
  • Buffer control is crucial for efficient video streaming and storage.
  • Existing methods may not optimally utilize available resources for non-stationary video sources.

Purpose of the Study:

  • To introduce and formalize a multidimensional (M-D) bit-rate control framework.
  • To jointly adapt frame rate, spatial resolution, and quantization step size for buffer control.
  • To develop an optimal solution for buffer-constrained allocation in video coding.

Main Methods:

  • Formalization of the multidimensional buffer-constrained allocation problem.

Related Experiment Videos

  • Development of a dynamic programming algorithm for intraframe coding optimization.
  • Application of an independent allocation approximation for interframe coding.

    • Main Results:

    • The M-D approach can achieve over 50% bit-rate reduction compared to conventional methods.
    • Optimal solutions are formulated for coding non-stationary sources under buffer constraints.
    • The M-D approach with limited lookahead consistently outperforms conventional methods with full lookahead.

    Conclusions:

    • Multidimensional bit-rate control offers significant advantages in video compression efficiency.
    • The proposed framework generalizes existing approaches and provides a robust solution for buffer management.
    • The dynamic programming algorithm enables efficient computation of optimal coding strategies.