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

Upsampling01:22

Upsampling

745
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
745
Sampling Methods: Overview01:06

Sampling Methods: Overview

3.7K
A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
In analytical chemistry, the choice of...
3.7K
Extraction: Partition and Distribution Coefficients01:14

Extraction: Partition and Distribution Coefficients

4.4K
The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
For extracting a solute from an aqueous phase into an...
4.4K

You might also read

Related Articles

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

Sort by
Same author

Integrated Multiscale Domain Adaptive YOLO.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2023
Same author

RPCA-KFE: Key Frame Extraction for Video Using Robust Principal Component Analysis.

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

Nonlinear dependence in the discovery of differentially expressed genes.

ISRN bioinformatics·2015
Same author

Exploiting identifiability and intergene correlation for improved detection of differential expression.

ISRN bioinformatics·2015
Same author

Common and Innovative Visuals: A sparsity modeling framework for video.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2014
Same author

Compressive framework for demosaicing of natural images.

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

Related Experiment Video

Updated: Apr 30, 2026

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

2.0K

Heterogeneity image patch index and its application to consumer video summarization.

Chinh T Dang, Hayder Radha

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |May 8, 2014
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces the Heterogeneity Image Patch (HIP) index for efficient video summarization. The HIP index improves key frame extraction and video skimming, outperforming existing methods with low complexity.

    More Related Videos

    Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing
    06:25

    Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

    Published on: February 23, 2024

    1.3K
    Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
    08:25

    Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

    Published on: May 7, 2019

    8.6K

    Related Experiment Videos

    Last Updated: Apr 30, 2026

    Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
    07:05

    Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

    Published on: June 18, 2021

    2.0K
    Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing
    06:25

    Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

    Published on: February 23, 2024

    1.3K
    Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
    08:25

    Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

    Published on: May 7, 2019

    8.6K

    Area of Science:

    • Computer Science
    • Multimedia Processing

    Background:

    • Efficient management of large video libraries requires advanced summarization techniques.
    • Existing methods often lack efficiency or require semantic understanding.

    Purpose of the Study:

    • Introduce a novel image feature, the Heterogeneity Image Patch (HIP) index, for video summarization.
    • Apply the HIP index to key frame extraction and dynamic video skimming.

    Main Methods:

    • Calculated an entropy-based measure of patch heterogeneity for each video frame to generate a HIP curve.
    • Utilized the HIP curve for key frame selection via patch-based dissimilarity and min-max algorithms.
    • Developed a HIP-based distance minimization framework for video skimming.

    Main Results:

    • The HIP index effectively supports both key frame extraction and video skimming.
    • Experimental results on consumer videos demonstrate superior performance compared to state-of-the-art methods.
    • The proposed framework achieves high performance with low computational complexity.

    Conclusions:

    • The HIP index offers a robust and efficient pixel-based approach to video summarization.
    • This method does not rely on semantic information or complex motion estimation.
    • HIP-based video summarization presents a significant advancement in managing large video datasets.