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

Gestalt Principles of Perception01:21

Gestalt Principles of Perception

409
Gestalt principles provide a framework for understanding how humans perceive objects as unified wholes within their context. These principles are essential in explaining the cognitive processes that make sense of complex visual stimuli by organizing them into coherent groups. One fundamental principle is proximity, which posits that objects located close to each other are perceived as a collective group. For instance, when dots are positioned near one another, the visual system interprets them...
409
Assessment of Airway, Skin Color, and Use of Accessory Muscles01:30

Assessment of Airway, Skin Color, and Use of Accessory Muscles

1.1K
A thorough assessment of respiratory health is paramount in clinical settings to identify and manage respiratory distress and ensure adequate oxygenation. This article elaborates on the critical aspects of respiratory evaluation, including airway assessment, skin color examination, and the observation of accessory muscle use, which are integral to effectively diagnosing and managing patients with respiratory conditions.
Introduction
The initial evaluation of a patient's respiratory system...
1.1K
Gestalt Psychology01:14

Gestalt Psychology

734
Gestalt psychology, founded by Max Wertheimer, Kurt Koffka, and Wolfgang Kohler, emphasizes the importance of understanding perception as an organized whole. Developed as a counter to Wilhelm Wundt's structuralism, this approach posits that our perceptions are more than just the sum of sensory parts; they are comprehensive wholes where the relationships between parts define the perception. The principle "The whole is greater than the sum of its parts" encapsulates this view,...
734
Visual System01:26

Visual System

667
Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
667
Assessment of the Cardiovascular System II: Inspection01:29

Assessment of the Cardiovascular System II: Inspection

394
Inspection is the initial step in assessing the cardiovascular system. It involves a detailed visual examination that provides crucial information about a patient's circulatory and cardiac health. This systematic process, conducted from head to toe, helps identify signs of cardiovascular conditions by observing physical appearance, skin and mucous membranes, jugular and carotid pulsations, chest symmetry, and the condition of the extremities.
Head and Neck
394
Visual Agnosia01:12

Visual Agnosia

282
Visual agnosia is a condition characterized by the inability to recognize visually presented objects despite having normal vision. For instance, a person with visual agnosia can describe the shape and color of an object but cannot identify or name it. This impairment does not affect their visual field, acuity, color vision, brightness discrimination, language, or memory. An example of this condition in a social setting is someone at a dinner party asking for "that silver thing with a round...
282

You might also read

Related Articles

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

Sort by
Same author

A Robust Multi-Branch CNN-LSTM Architecture for Cross-Subject Motor Imagery Classification.

Sensors (Basel, Switzerland)·2026
Same author

Decoding EEG Signals for Brain-Computer Interfaces.

Studies in health technology and informatics·2026
Same author

Lightweight Sequential Transformers for Blood Glucose Level Prediction in Type-1 Diabetes.

IEEE journal of biomedical and health informatics·2025
Same author

An Ethanolic Extract of Sulfur Polypore Mushroom Laetiporus sulphureus (Agaricomycetes) Mycelium Inhibits Cell Cycle Progression, Survival, and Migration in Human Hepatocarcinoma Cell Lines.

International journal of medicinal mushrooms·2025
Same author

A Systematic Literature Review of Innovations, Challenges, and Future Directions in Telemonitoring and Wearable Health Technologies.

IEEE journal of biomedical and health informatics·2025
Same author

EEG Acquisition and Motor Imagery Classification for Robotic Control.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Related Experiment Video

Updated: Sep 4, 2025

Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm
09:49

Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm

Published on: December 24, 2015

14.3K

Composition and Style Attributes Guided Image Aesthetic Assessment.

Luigi Celona, Marco Leonardi, Paolo Napoletano

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |July 22, 2022
    PubMed
    Summary

    This study introduces an automated method to predict image aesthetics by analyzing semantic content, artistic style, and composition. The novel multi-network approach effectively estimates aesthetic scores and attributes, enhancing image quality assessment.

    More Related Videos

    Visualizing Visual Adaptation
    04:43

    Visualizing Visual Adaptation

    Published on: April 24, 2017

    9.1K
    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

    2.5K

    Related Experiment Videos

    Last Updated: Sep 4, 2025

    Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm
    09:49

    Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm

    Published on: December 24, 2015

    14.3K
    Visualizing Visual Adaptation
    04:43

    Visualizing Visual Adaptation

    Published on: April 24, 2017

    9.1K
    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

    2.5K

    Area of Science:

    • Computer Vision
    • Artificial Intelligence
    • Image Processing

    Background:

    • Image aesthetics, while subjective, are influenced by semantic content, artistic attributes, and photographic composition.
    • Existing methods for aesthetic analysis often lack a comprehensive approach to these influencing factors.

    Purpose of the Study:

    • To propose an automated method for predicting image aesthetic quality.
    • To develop a multi-network architecture that analyzes semantic content, artistic style, and composition for aesthetic estimation.

    Main Methods:

    • A novel multi-network approach integrating a pre-trained network (Backbone) for semantic feature extraction.
    • An AttributeNet (Multi-Layer Perceptron) predicts image attributes using Backbone features.
    • A self-adaptive Hypernetwork (AestheticNet) uses attribute embeddings to predict aesthetic scores.

    Main Results:

    • The proposed method accurately predicts style and composition attributes.
    • The system effectively estimates the aesthetic score distribution for images.
    • Validation on three benchmark datasets confirms the method's effectiveness.

    Conclusions:

    • The developed multi-network model provides a robust framework for automatic image aesthetic prediction.
    • The approach offers a deeper understanding of image aesthetics by considering semantic, stylistic, and compositional elements.