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

Fixed Action Patterns01:06

Fixed Action Patterns

17.7K
A fixed action pattern (FAP) is a specific, hard-wired sequence of behaviors that occurs in response to an external stimulus, called a sign stimulus. The behavior is “fixed” because it is essentially unchangeable—proceeding similarly across individuals of a species every time it occurs.
17.7K
Moment of Inertia about an Arbitrary Axis01:20

Moment of Inertia about an Arbitrary Axis

650
The moment of inertia is typically associated with principal axes, but it can also be computed for any random axis. When an arbitrary axis is under consideration, the moment of inertia is determined by integrating the mass distribution of the object along that specific axis. It is crucial in applications like the design of machinery, where components rotate about various axes, and balance and stability are essential.
In this scenario, the perpendicular distance between the chosen arbitrary axis...
650
Angular Momentum about an Arbitrary Axis01:11

Angular Momentum about an Arbitrary Axis

471
Imagine a rigid body with a mass denoted as 'm', which has its center of mass at point G and is rotating around an inertial reference frame. The angular momentum at an arbitrary point P can be calculated by taking the cross product of the position vector and linear momentum vector for each individual mass element.
The velocity of a mass element comprises its translational velocity and the relative velocity instigated by the body's rotation. Substituting the velocity equation into...
471
Synthetic Biology02:55

Synthetic Biology

5.6K
Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
5.6K
Econometric Views (EViews)01:29

Econometric Views (EViews)

587
Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
587
Cranial Bones: Lateral View01:27

Cranial Bones: Lateral View

4.5K
The lateral view of the cranium is dominated by temporal, sphenoid, and ethmoid bones.
The temporal bone forms the lower lateral side of the skull. The temporal bone is subdivided into several regions. The flattened upper portion is the squamous portion of the temporal bone. Below this area and projecting anteriorly is the zygomatic process of the temporal bone, which forms the posterior portion of the zygomatic arch. Posteriorly is the mastoid portion of the temporal bone. Projecting...
4.5K

You might also read

Related Articles

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

Sort by
Same authorSame 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 author

Cross-View Multimodal Vision-Based Assessment Framework for Traditional Chinese Medicine Rehabilitation Training.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same author

Exploring the Stochastic Regularisation in Normalisation Layers for Semi-Supervised Learning.

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

Unusual Anti-Thermoplastics and Low Thermal Expansion in 2D Metal Halide Crystals.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Embodied Spatial Affordance: Spatial-Aware Affordance Learning for Embodied Navigation and Manipulation.

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

Paving the Way for Point Cloud Video Representation Learning Using a PDE Model.

IEEE transactions on pattern analysis and machine intelligence·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

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
See all related articles

Related Experiment Video

Updated: Feb 7, 2026

Novel Object Recognition Test for the Investigation of Learning and Memory in Mice
08:52

Novel Object Recognition Test for the Investigation of Learning and Memory in Mice

Published on: August 30, 2017

77.6K

Arbitrary View Action Recognition via Transfer Dictionary Learning on Synthetic Training Data.

Jingtian Zhang, Hubert P H Shum, Jungong Han

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |July 12, 2018
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel framework for human action recognition that works regardless of camera angle. It uses synthetic data and 3D dense trajectories to create view-invariant representations for accurate action classification.

    More Related Videos

    Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task
    11:18

    Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task

    Published on: June 1, 2015

    11.2K
    Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning
    11:20

    Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning

    Published on: June 2, 2014

    12.4K

    Related Experiment Videos

    Last Updated: Feb 7, 2026

    Novel Object Recognition Test for the Investigation of Learning and Memory in Mice
    08:52

    Novel Object Recognition Test for the Investigation of Learning and Memory in Mice

    Published on: August 30, 2017

    77.6K
    Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task
    11:18

    Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task

    Published on: June 1, 2015

    11.2K
    Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning
    11:20

    Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning

    Published on: June 2, 2014

    12.4K

    Area of Science:

    • Computer Vision
    • Machine Learning
    • Artificial Intelligence

    Background:

    • Human action recognition is vital for applications like human-computer interaction and video surveillance.
    • Existing methods often fail due to reliance on fixed camera views or unavailable angle information.

    Purpose of the Study:

    • To develop an end-to-end framework for view-invariant human action recognition.
    • To address the challenge of varying viewpoints in real-world video data.

    Main Methods:

    • A novel framework jointly learns a view-invariance transfer dictionary and a view-invariant classifier.
    • Synthetic data is used for pre-training to extract view-invariance between 3D and 2D videos.
    • A new feature set, 3D dense trajectories, is introduced for enhanced 3D video action description.

    Main Results:

    • The proposed dictionary projects 2D videos into a view-invariant sparse representation.
    • The framework achieves accurate action recognition from arbitrary views.
    • Experimental results on multiple datasets (IXMAS, N-UCLA, i3DPost, UWA3DII) demonstrate superior performance.

    Conclusions:

    • The developed framework effectively handles view variations in human action recognition.
    • The use of synthetic data and 3D dense trajectories offers a robust solution for practical applications.
    • This approach overcomes limitations of existing methods requiring specific viewing angles.