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

Brick Durability, Strength, and Appearance01:15

Brick Durability, Strength, and Appearance

656
Brick durability, strength, and appearance are crucial factors in construction, influencing the choice of bricks for specific applications. The process of freeze-thaw, for instance, significantly affects brick durability. This phenomenon occurs when water absorbed by a brick expands as it freezes, potentially causing damage when it melts and refreezes. Bricks are graded for durability: SW-grade bricks are the most durable, offering high strength and low water absorption, followed by MW-grade...
656
Impression Management Techniques I: Managing Appearances01:29

Impression Management Techniques I: Managing Appearances

213
Appearance is a multidimensional aspect of self-presentation that encompasses observable attributes such as clothing, grooming, speech, and nonverbal behavior. These elements are often strategically managed to align with socially constructed expectations in different settings. For instance, individuals tailor their appearance during job interviews, social gatherings, or athletic events to meet the perceived norms of those environments.Contextual Adaptation and Social SignalsThe research...
213
Potential Due to a Polarized Object01:29

Potential Due to a Polarized Object

770
A neutral atom consists of a positively charged nucleus surrounded by a negatively charged electron cloud. When placed in an external electric field, the external electric force pulls the electrons and nucleus apart, opposite to the intrinsic attraction between the nucleus and the electrons. The opposing forces balance each other with a slight shift between the center of masses of the nucleus and the electron cloud, resulting in a polarized atom. On the other hand, a few molecules, like water,...
770
Potential Due to a Magnetized Object01:24

Potential Due to a Magnetized Object

792
Magnetic dipoles in magnetic materials are aligned when placed under an external magnetic field. For paramagnets and ferromagnets, dipole alignment occurs in the direction of the magnetic field. However, the dipoles align opposite to the field in the case of diamagnets. This state of magnetic polarization due to the external field is called magnetization. Magnetization is defined as the dipole moment per unit volume. It plays a similar role to polarization in electrostatics.
The vector...
792
Moment of Inertia of Compound Objects01:07

Moment of Inertia of Compound Objects

7.6K
The moment of inertia is a quantitative measure of the rotational inertia of an object. It is defined as the sum of the products obtained by multiplying the mass of each particle of matter in a given body by the square of its distance from the axis. The total moment of inertia for compound objects can be found by determining and adding the moment of inertia of individual components together.
Consider a child of mass (mc) 25 kg standing at a distance (rc) of 1 m from the axis of a rotating...
7.6K
Gravitational Potential Energy for Extended Objects01:07

Gravitational Potential Energy for Extended Objects

2.0K
Consider a system comprising several point masses. The coordinates of the center of mass for this system can be expressed as the summation of the product of each mass and its position vector divided by the total mass:
2.0K

You might also read

Related Articles

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

Sort by
Same author

Supervised contrastive learning for cell stage classification of animal embryos.

Scientific reports·2026
Same author

Segmenting the Motion Components of a Video: A Long-Term Unsupervised Model.

IEEE transactions on pattern analysis and machine intelligence·2025
Same author

DeepInteraction++: Multi-Modality Interaction for Autonomous Driving.

IEEE transactions on pattern analysis and machine intelligence·2025
Same author

Language-Aware Vision Transformer for Referring Segmentation.

IEEE transactions on pattern analysis and machine intelligence·2024
Same author

Holistically-Attracted Wireframe Parsing: From Supervised to Self-Supervised Learning.

IEEE transactions on pattern analysis and machine intelligence·2023
Same author

SiamMask: A Framework for Fast Online Object Tracking and Segmentation.

IEEE transactions on pattern analysis and machine intelligence·2023
Same journal

HardFlow: Hard-Constrained Sampling for Flow-Matching Models Via Trajectory Optimization.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Industrial Brain: Self-Evolving Neuro-Symbolic Autonomy with Causal Resilience for Cyber-Physical Systems.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Adaptive Hardness-Driven Dictionary Distillation for Incomplete Streaming View Clustering.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Mixture of Global and Local Experts with Diffusion Transformer for Controllable Face Generation.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Task-KV: Task-aware KV Cache Optimization via Semantic Differentiation of Attention Heads.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Achieving Text-based Person Retrieval with Any Granularity.

IEEE transactions on pattern analysis and machine intelligence·2026
See all related articles

Related Experiment Video

Updated: Jan 27, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

12.2K

ROAM: A Rich Object Appearance Model with Application to Rotoscoping.

Juan-Manuel Perez-Rua, Ondrej Miksik, Tomas Crivelli

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |March 16, 2019
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new rotoscoping framework using parametric curves for better object tracking in videos. The model enhances control and allows for seamless video compositing through adaptive trimaps.

    More Related Videos

    Computer-Generated Animal Model Stimuli
    26:43

    Computer-Generated Animal Model Stimuli

    Published on: July 29, 2007

    11.3K
    Novel Object Recognition and Object Location Behavioral Testing in Mice on a Budget
    05:57

    Novel Object Recognition and Object Location Behavioral Testing in Mice on a Budget

    Published on: November 20, 2018

    58.9K

    Related Experiment Videos

    Last Updated: Jan 27, 2026

    Creating Objects and Object Categories for Studying Perception and Perceptual Learning
    14:38

    Creating Objects and Object Categories for Studying Perception and Perceptual Learning

    Published on: November 2, 2012

    12.2K
    Computer-Generated Animal Model Stimuli
    26:43

    Computer-Generated Animal Model Stimuli

    Published on: July 29, 2007

    11.3K
    Novel Object Recognition and Object Location Behavioral Testing in Mice on a Budget
    05:57

    Novel Object Recognition and Object Location Behavioral Testing in Mice on a Budget

    Published on: November 20, 2018

    58.9K

    Area of Science:

    • Computer Vision
    • Image Processing
    • Computer Graphics

    Background:

    • Rotoscoping is crucial in video post-production for detailed scene element delineation.
    • Professional tools use parametric curves for superior artist control over segmentation.
    • Existing pixel-wise segmentation methods lack the necessary interactive control.

    Purpose of the Study:

    • To propose a novel framework for capturing and tracking arbitrary objects in video using parametric curves.
    • To enhance the rotoscoping process with improved control, efficiency, and adaptability.
    • To enable seamless video compositing through adaptive trimap generation.

    Main Methods:

    • A framework combining local and global appearance models with foreground landmarks is proposed.
    • The model utilizes parametric curves for object outline definition and tracking.
    • Trimaps are generated using local classifiers on roto-curves for adaptive alpha-matting.

    Main Results:

    • The framework allows for simple initialization, efficient optimization, and on-line adaptation in videos.
    • Generated trimaps are parametric, temporally consistent, and fully editable by artists.
    • Qualitative and quantitative comparisons demonstrate the framework's merit over existing methods.

    Conclusions:

    • The proposed framework offers a significant advancement in rotoscoping technology.
    • It provides artists with enhanced control and efficiency for object segmentation and tracking.
    • The method facilitates seamless video compositing through adaptive and editable trimaps.