Foundation Models for Multimedia

The past few years have witnessed a paradigm shift in artificial intelligence, with foundation models emerging as a unifying and transformative force across diverse domains. These models, built upon massive data, offer unprecedented generalization capabilities, enabling scalable solutions to complex multimedia tasks. From text and images to video, audio, and beyond, foundation models are increasingly becoming the cornerstone for next-generation multimedia systems.

Institutions

Publication Details

Journal
IEEE Multimedia
Published
2025-04-01
DOI
https://doi.org/10.1109/mmul.2025.3593792
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

Foundation Models for Multimedia

IEEE Multimedia
Geochemistry and Geologic Mapping
article

Foundation Models for Multimedia

article en

Abstract

The past few years have witnessed a paradigm shift in artificial intelligence, with foundation models emerging as a unifying and transformative force across diverse domains. These models, built upon massive data, offer unprecedented generalization capabilities, enabling scalable solutions to complex multimedia tasks. From text and images to video, audio, and beyond, foundation models are increasingly becoming the cornerstone for next-generation multimedia systems.

IEEE MultimediaVol. 32(2)
Google (United States) (US), National Taiwan University (TW), Peking University (CN), De Lin Institute of Technology (TW), University of Glasgow (GB)
Openalex Percentile: Top 39%
Geochemistry and Geologic Mapping
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