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

You might also read

Related Articles

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

Sort by
Same author

Application of an Ecological Approach to Assessment of Nutrition in School-Aged Children-A Report from the "Biomarkers of Nutrition for Development: Knowledge Indicating Dietary Sufficiency (BOND-KIDS)" Project Working Group 3.

The Journal of nutrition·2025
Same author

The association of cognitive task scores with energy intake measurement error from technology-assisted 24-h recalls.

The British journal of nutrition·2025
Same author

Accuracy of energy and nutrient intake estimation versus observed intake using 4 technology-assisted dietary assessment methods: a randomized crossover feeding study.

The American journal of clinical nutrition·2024
Same author

Association of Habitual Intake of Probiotic Supplements and Yogurt with Characteristics of the Gut Microbiome in the Multiethnic Cohort Adiposity Phenotype Study.

Gut microbiome (Cambridge, England)·2024
Same author

Dietary intake and visceral adiposity in older adults: The Multiethnic Cohort Adiposity Phenotype study.

Obesity science & practice·2024
Same author

Changes in Diet Quality over 10 Years and Subsequent Mortality from Cardiovascular Disease in the Multiethnic Cohort Study.

Nutrients·2023
Same journal

INTEGRATED DATABASE SYSTEM FOR MOBILE DIETARY ASSESSMENT AND ANALYSIS.

Proceedings. IEEE International Conference on Multimedia and Expo·2016
Same journal

QUANTIFYING ATYPICALITY IN AFFECTIVE FACIAL EXPRESSIONS OF CHILDREN WITH AUTISM SPECTRUM DISORDERS.

Proceedings. IEEE International Conference on Multimedia and Expo·2014
See all related articles

Related Experiment Video

Updated: Mar 1, 2026

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

10.1K

FOOD IMAGE ANALYSIS: SEGMENTATION, IDENTIFICATION AND WEIGHT ESTIMATION.

Ye He1, Chang Xu1, Nitin Khanna2

  • 1School of Electrical and Computer Engineering, Purdue University.

Proceedings. IEEE International Conference on Multimedia and Expo
|June 3, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces an automated dietary assessment system using food images to analyze nutrient content. The system employs image segmentation and classification for accurate food identification and weight estimation to determine nutritional value.

Keywords:
Dietary AssessmentImage SegmentationObject IdentificationWeight Estimation

More Related Videos

Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method
06:21

Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method

Published on: February 19, 2021

6.4K
Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos
13:35

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos

Published on: March 21, 2021

11.9K

Related Experiment Videos

Last Updated: Mar 1, 2026

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

10.1K
Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method
06:21

Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method

Published on: February 19, 2021

6.4K
Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos
13:35

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos

Published on: March 21, 2021

11.9K

Area of Science:

  • Dietary assessment
  • Nutritional analysis
  • Image processing

Background:

  • Accurate dietary assessment is crucial for health monitoring and nutritional research.
  • Manual food logging is time-consuming and prone to inaccuracies.
  • Automated methods are needed to simplify and improve dietary intake recording.

Purpose of the Study:

  • To develop an automated dietary assessment system using food images.
  • To enhance accuracy in food identification and nutrient content extraction.
  • To establish reliable methods for estimating food weight from images.

Main Methods:

  • Utilizing image segmentation to identify food regions within meal images.
  • Employing feature classification for accurate food type identification.
  • Implementing weight estimation techniques (shape templates and area-based methods) for nutrient calculation.

Main Results:

  • Developed an image analysis system for food intake recording.
  • Improved food segmentation and identification accuracy through a proposed system.
  • Enabled nutrient content extraction from single food images via weight estimation.

Conclusions:

  • The developed image-based system offers a promising approach for automated dietary assessment.
  • Accurate food image analysis, including segmentation, classification, and weight estimation, is key to determining nutrient content.
  • This technology can potentially streamline nutritional monitoring and research.