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

Methods of Medium Optimization01:28

Methods of Medium Optimization

45
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...
45
Upsampling01:22

Upsampling

696
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...
696
Chunking and Rehearsal in Sensory Memory01:22

Chunking and Rehearsal in Sensory Memory

731
Improving short-term memory can be achieved through techniques like chunking and rehearsal. Chunking involves organizing information into larger, more manageable units. This technique is particularly useful for information that exceeds the typical memory span of between five and nine items. For instance, logging into an online account with a password like "ta89vq0179gz" involves grouping letters and numbers into three chunks—ta89, vq01, and 79gz. It makes large amounts of...
731
Downsampling01:20

Downsampling

777
When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
777
Perceptual Constancy01:12

Perceptual Constancy

1.8K
Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
1.8K
The Anchoring-and-Adjustment Heuristic01:25

The Anchoring-and-Adjustment Heuristic

7.9K
In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the...
7.9K

You might also read

Related Articles

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

Sort by
Same author

Benchmarking the Robustness of Autonomous Driving to Environmental Illusions: A Lane Perception Perspective.

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

Holistic Invariant Retracing for Distortion-Resilient Multi-Modal Learning in Spatial Transcriptomics.

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

Demonstration of efficient predictive surrogates for large-scale quantum processors.

Nature communications·2026
Same author

A DeepSeek-powered AI system for automated chest radiograph interpretation in clinical practice.

Nature communications·2026
Same author

NoisePO: Efficient Semantic Noise Generation and Ranking for Diffusion-Based Text-to-Image Synthesis.

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

Stability and Generalization for Distributed SGDA.

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

A New Human-Likeness and Comfort Index for Robot Movements Along Prescribed Paths.

IEEE transactions on cybernetics·2026
Same journal

Robust Semiglobal and Global Stabilization for Nonlinear Normal Form Systems by Time-Varying Feedback.

IEEE transactions on cybernetics·2026
Same journal

Adaptive Global Asymptotic Output Stabilization of Uncertain Nonlinear Systems Under Dynamic State/Input Quantization.

IEEE transactions on cybernetics·2026
Same journal

Accelerated Distributed Gradient Tracking for Constrained Aggregative Optimization Over Time-Varying Digraphs.

IEEE transactions on cybernetics·2026
Same journal

Small-Gain-Based Plug-and-Play Distributed Control Framework for DC Microgrids With Decentralized Reconfiguration.

IEEE transactions on cybernetics·2026
Same journal

Prescribed-Time Impulsive Control of High-Order Integrator Systems.

IEEE transactions on cybernetics·2026
See all related articles

Related Experiment Video

Updated: Mar 28, 2026

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

20.6K

Perceptual Attributes Optimization for Multivideo Summarization.

Liqiang Nie, Richang Hong, Luming Zhang

    IEEE Transactions on Cybernetics
    |December 15, 2015
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new method for summarizing multiple handheld videos, improving visual quality and stability. The approach optimizes video aesthetics, coherence, and stability for better consumer video summaries.

    More Related Videos

    Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content
    10:41

    Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content

    Published on: May 26, 2018

    7.4K

    Related Experiment Videos

    Last Updated: Mar 28, 2026

    Cross-Modal Multivariate Pattern Analysis
    13:51

    Cross-Modal Multivariate Pattern Analysis

    Published on: November 9, 2011

    20.6K
    Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content
    10:41

    Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content

    Published on: May 26, 2018

    7.4K

    Area of Science:

    • Computer Science
    • Artificial Intelligence
    • Multimedia Processing

    Background:

    • Consumer videos from portable devices present unique summarization challenges due to semantic variances and shakiness.
    • Existing video summarization techniques struggle with adaptively handling handheld video instability and subjective quality assessment.

    Purpose of the Study:

    • To develop an effective method for summarizing multiple handheld videos by jointly optimizing perceptual attributes.
    • To address the challenges of semantic variance, adaptive stability, and subjective quality in consumer video summarization.

    Main Methods:

    • Proposed a perceptual multiattribute optimization framework to refine video aesthetics, coherence, and stability.
    • Designed a weakly supervised learning framework to identify semantically important regions and select key frames.
    • Introduced a probabilistic model for adaptive frame stabilization and aesthetically pleasing summary generation.

    Main Results:

    • The proposed method successfully generates descriptive, aesthetically pleasing, coherent, and stable video summaries.
    • Experiments demonstrated the effectiveness of the approach on diverse consumer videos from various global sceneries.
    • The system adaptively stabilizes frames, enhancing the overall quality of the multivideo summary.

    Conclusions:

    • Perceptual multiattribute optimization offers a robust solution for multivideo summarization of consumer-generated content.
    • The developed framework effectively handles semantic and stylistic variations, improving summary quality.
    • This research contributes to more sophisticated and visually appealing automated video summarization techniques.