Publication Type

Transcript

Version

publishedVersion

Publication Date

5-2025

Abstract

Food is central in our life for its fundamental role in our survival, health, mood and culture. The deployment of various networks (e.g., IoT and mobile networks), devices (e.g., hyperspectral imaging devices, electronic nose/tongue), databases (e.g., nutrition tables and food compositional databases), recipe-sharing websites (e.g., Yummly and Meishijie) and social media (e.g., Twitter and Weibo) has generated unprecedented volumes of multi-modal food data. Such multi-source multi-modal food data provides new perspectives to analyze and understand food consumption via multimedia computing. Riding on the wave of AI, food-oriented multimedia computing integrates AI, multimedia technology and food science to enable a wide spectrum of food computing tasks like food-oriented recognition, retrieval, recommendation, generation and knowledge graph construction, driving food intelligence. For its broad potential applications in dietary experience, food safety, nutrition and health, this field has gained increasing attention in the multimedia community in recent years.

Keywords

Food products, Data analysis, Multimedia computing

Discipline

Databases and Information Systems | Graphics and Human Computer Interfaces | Numerical Analysis and Scientific Computing

Publication

IEEE Transactions on Multimedia

Volume

27

First Page

2708

Last Page

2712

ISSN

1520-9210

Identifier

10.1109/TMM.2025.3566452

Publisher

Institute of Electrical and Electronics Engineers

Additional URL

https://doi.org/10.1109/TMM.2025.3566452

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