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 Concept Videos

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
Decision Making: P-value Method01:09

Decision Making: P-value Method

The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can have a...
Methods of Medium Optimization01:28

Methods of Medium Optimization

Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model01:13

Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model

Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...

You might also read

Related Articles

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

Sort by
Same author

GUSL: A novel and efficient machine learning model for prostate segmentation on MRI.

Computers in biology and medicine·2026
Same author

CROSS-MODAL FINE-TUNING OF 3D CONVOLUTIONAL FOUNDATION MODELS FOR ADHD CLASSIFICATION WITH LOW-RANK ADAPTATION.

Proceedings. IEEE International Symposium on Biomedical Imaging·2026
Same author

FTGID: Fine-Grained Text-Driven Framework for Universal Generative Image Detection.

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

ViT-UWA: Vision Transformer Underwater-Adapter for Dense Predictions Beneath the Water Surface.

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

Multimodal Image Representation Learning With Limited Visual-Tactile Data.

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

Rate-Reconfigurable Deep Point Cloud Compression With Perceptual Bit Allocation Optimization.

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

Style-Aware Contrastive Test-Time Adaptation: A Dual-Cache Model for Robust Vision-Language Alignment.

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

Semantic Frame Interpolation.

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

Physics-Guided Cross-Modal Decoupling with Test-Time Adaptation for Hyperspectral Image Restoration.

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

Related Experiment Videos

Multiview coding mode decision with hybrid optimal stopping model.

Tiesong Zhao1, Sam Kwong, Hanli Wang

  • 1Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong. ztiesong@uwaterloo.ca

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|December 28, 2012
PubMed
Summary
This summary is machine-generated.

Optimal stopping theory enhances video compression by developing a hybrid model for mode decisions. This method effectively reduces computational complexity and maintains high rate-distortion performance in multiview video coding.

Related Experiment Videos

Area of Science:

  • Computer Science
  • Information Theory
  • Signal Processing

Background:

  • Optimal stopping theory balances decision performance and time.
  • Mode decision in video compression involves tradeoffs between complexity and quality.
  • Multiview video coding presents unique challenges due to inter-view correlations.

Purpose of the Study:

  • To apply optimal stopping theory to develop a hybrid model for mode decision in multiview video coding.
  • To achieve a balance between computational complexity reduction and rate-distortion degradation.
  • To investigate multiview coding mode characteristics for improved coding performance.

Main Methods:

  • Employing optimal stopping theory to create a hybrid model.
  • Implementing and examining the model with a multiview encoder.
  • Jointly investigating multiview coding mode characteristics (predicted mode probability, estimated coding time) with inter-view correlations.

Main Results:

  • The hybrid model demonstrates high decision accuracy.
  • Negligible computational overhead was observed.
  • Rate-distortion performance remained almost intact compared to the original encoder.
  • The method proved efficient and robust across various video resolutions.

Conclusions:

  • The proposed optimal stopping-based hybrid model effectively addresses the mode decision problem in multiview video coding.
  • The model achieves a favorable tradeoff between computational complexity and rate-distortion performance.
  • Investigating coding mode characteristics alongside inter-view correlations further enhances coding efficiency.