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

Shape and Texture of Coarse Aggregate01:25

Shape and Texture of Coarse Aggregate

Aggregate shape is classified based on the relative sharpness or roundness of the edges and corners. This classification includes categories like rounded, angular, elongated, and flaky, each with specific characteristics. Rounded aggregates, fully shaped by attrition, are typical of river or seashore gravel, while angular aggregates, such as crushed rock, have well-defined edges. Aggregates that are elongated and flaky are less desirable, as they can reduce the workability and strength of...
Moisture Content and Bulking of Aggregate01:10

Moisture Content and Bulking of Aggregate

The moisture content of aggregates is a crucial factor in construction, particularly in concrete mixing, as it influences the total water required in the mix. Moisture content represents the water coated on the exterior surface of the aggregate existing in a saturated and surface-dry condition. The total water content of a moist aggregate is the sum of its moisture content and water absorption.
When aggregates are exposed to rain or sit in stockpiles, they absorb moisture, which must be...
Buffer Effectiveness02:19

Buffer Effectiveness

Buffer solutions do not have an unlimited capacity to keep the pH relatively constant . Instead, the ability of a buffer solution to resist changes in pH relies on the presence of appreciable amounts of its conjugate weak acid-base pair. When enough strong acid or base is added to substantially lower the concentration of either member of the buffer pair, the buffering action within the solution is compromised.
The buffer capacity is the amount of acid or base that can be added to a given volume...
Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
Carbonation Shrinkage01:24

Carbonation Shrinkage

Atmospheric CO2 penetrates the concrete's pores and, in the presence of moisture, forms carbonic acid, which then reacts with calcium hydroxide in the hydrated cement, forming calcium carbonate. This process reduces the concrete's volume and is termed carbonation shrinkage.
The concrete's permeability is slightly reduced as calcium carbonate produced during the reaction fills its pores. Furthermore, its strength is slightly enhanced as the water released during the reaction facilitates the...
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...

You might also read

Related Articles

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

Sort by
Same author

Stability in the face of global decline: a 20-year study of arthropods in an oceanic archipelago.

Scientific reports·2026
Same author

Use of Phosphorus-32 Microparticles for Downstaging Locally Advanced Pancreatic Cancer to Resection: A Case Report.

Cureus·2026
Same author

Liver disease with extrahepatic peritoneal disease.

Cirugia espanola·2026
Same author

Integrating plot-based methods for monitoring biodiversity in island habitats under the scope of BIODIVERSA+ project BioMonI: Beetle monitoring in Pico and Terceira Islands.

Biodiversity data journal·2026
Same author

New spatial records of vascular plants in the Azores Archipelago: the PRIBES project and the Azorean Biodiversity Portal (ABP) initiatives - I. São Jorge Island (Azores).

Biodiversity data journal·2026
Same author

Comparative clinical trial of open versus closed technique for intraoperative hyperthermic intraperitoneal chemotherapy in peritoneal metastases from colorectal cancer.

Current problems in surgery·2026
Same journal

SinColor: Uncertainty-Guided Single-Step Diffusion for Image Colorization.

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

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation.

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

Mask-guided Asymmetric Contrastive and Semantic Alignment for Unsupervised Person Re-Identification.

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

Related Experiment Video

Updated: Jul 7, 2026

A Computer Vision System for the Assessment of Ice Cream Melting Behavior
08:02

A Computer Vision System for the Assessment of Ice Cream Melting Behavior

Published on: October 4, 2024

Refreshment need metrics for improved shape and texture object-based resilient video coding.

Luis Ducla Soares1, Fernando Pereira

  • 1Instituto de Telecomumicacoes, Inst. Superior Tecnico, Lisboa, Portugal. lds@lx.it.pt

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 2, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces new metrics for object-based video encoders to determine when to refresh video object shape and texture data. This improves decoded video quality and reduces error propagation during transmission or storage.

Related Experiment Videos

Last Updated: Jul 7, 2026

A Computer Vision System for the Assessment of Ice Cream Melting Behavior
08:02

A Computer Vision System for the Assessment of Ice Cream Melting Behavior

Published on: October 4, 2024

Area of Science:

  • Computer Science
  • Electrical Engineering
  • Image Processing

Background:

  • Video encoders utilize error resilience techniques to maintain quality.
  • Intra coding refreshment is crucial for predictive (inter) coding to prevent error propagation and rapid quality decay.
  • Object-based video coding allows intra coding refreshment for both shape and texture data.

Purpose of the Study:

  • To propose novel metrics for assessing the need for shape and texture refreshment in object-based video coding.
  • To enhance the error resilience of video streams, particularly for MPEG-4 video encoders.
  • To optimize decoded video quality at a given bitrate by intelligently refreshing video objects.

Main Methods:

  • Development of shape refreshment need metrics.
  • Development of texture refreshment need metrics.
  • Application of these metrics within object-based video encoders (e.g., MPEG-4).

Main Results:

  • Proposed metrics enable object-based video encoders to identify optimal times for refreshing shape and texture data.
  • Implementation of these metrics can significantly improve decoded video quality in the presence of errors.
  • The approach facilitates quality maintenance for video objects under constrained bitrates.

Conclusions:

  • The proposed shape and texture refreshment need metrics are effective for enhancing error resilience in object-based video coding.
  • These metrics provide a valuable tool for MPEG-4 and similar video encoders to manage quality degradation.
  • Intelligent refreshment strategies are key to robust video transmission and storage.