Research on the Application of Artificial Intelligence Generated Content (AIGC) Video Generation Technology in the Field of Digital Media Design and Production

The present study adopts a generative artificial intelligence (AI) framework as its theoretical foundation, exploring its application modes, developmental status, and the challenges it faces in the domain of digital media design and production. The study firstly analyses the core principle of AIGC video generation technology, the basic principle of video generation, and the working principle of AIGC technology. It then proceeds to analyse the types and applications of the most popular AIGC video generation technology. Finally, it investigates the application of current AIGC video generation technology in the field of digital media design and production with a basis in reality. In addition, it identifies the limitations and constraints that exist in this field and actively seeks to overcome them. In the context of the rapid advancements witnessed in generative intelligence technology, AIGC video generation technology is poised to emerge as a pivotal technology, facilitating personalisation and innovation in the domain of digital media design and production. Additionally, it is anticipated to serve as a significant catalyst for the advancement of the digital media industry.

Authors

Institutions

Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1145/3726010.3726014
Primary Topic
Medical Research and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on the Application of Artificial Intelligence Generated Content (AIGC) Video Generation Technology in the Field of Digital Media Design and Production

Biao Li, Yiyang Lu
2 links
Medical Research and Treatments
article

Research on the Application of Artificial Intelligence Generated Content (AIGC) Video Generation Technology in the Field of Digital Media Design and Production

Biao Li, Yiyang Lu
article en

Abstract

The present study adopts a generative artificial intelligence (AI) framework as its theoretical foundation, exploring its application modes, developmental status, and the challenges it faces in the domain of digital media design and production. The study firstly analyses the core principle of AIGC video generation technology, the basic principle of video generation, and the working principle of AIGC technology. It then proceeds to analyse the types and applications of the most popular AIGC video generation technology. Finally, it investigates the application of current AIGC video generation technology in the field of digital media design and production with a basis in reality. In addition, it identifies the limitations and constraints that exist in this field and actively seeks to overcome them. In the context of the rapid advancements witnessed in generative intelligence technology, AIGC video generation technology is poised to emerge as a pivotal technology, facilitating personalisation and innovation in the domain of digital media design and production. Additionally, it is anticipated to serve as a significant catalyst for the advancement of the digital media industry.

Tianjin University of Technology and Education (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 49%
Medical Research and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Research on the Application of Artificial Intelligence Generated Content (AIGC) Video Generation Technology in the Field of Digital Media Design and Production — Biao Li, Yiyang Lu · (2024) | TGRS Research Map | TGRS