Content Generation Algorithm of AI in Short Video Creation Based on Deep Learning

With the rapid development of the Internet, short videos have gradually penetrated into our daily lives with their rich content, fast transmission speed, and diverse forms of expression. However, with the rapid development of the short video industry, its content homogeneity, vulgarity, and lack of refinement have become increasingly prominent. In response to the above problems, this paper further improves the quality and diversity of videos through a perfect learning architecture and a systematic learning process. The method was tested using a large number of small video samples. Compared with existing methods, the method in this paper has greatly improved many important performances. Among them, the image quality is improved from 480p to 1080p, the clarity of the generated video can reach up to 98%. The experimental results show that the method applied in this paper can effectively improve the quality of the image and improve the interactive behavior with the user.

Authors

Publication Details

Published
2024-12-22
DOI
https://doi.org/10.1109/cicn63059.2024.10847423
Primary Topic
Educational Technology and Pedagogy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Content Generation Algorithm of AI in Short Video Creation Based on Deep Learning

Te Zhai
Educational Technology and Pedagogy
article

Content Generation Algorithm of AI in Short Video Creation Based on Deep Learning

Te Zhai
article en

Abstract

With the rapid development of the Internet, short videos have gradually penetrated into our daily lives with their rich content, fast transmission speed, and diverse forms of expression. However, with the rapid development of the short video industry, its content homogeneity, vulgarity, and lack of refinement have become increasingly prominent. In response to the above problems, this paper further improves the quality and diversity of videos through a perfect learning architecture and a systematic learning process. The method was tested using a large number of small video samples. Compared with existing methods, the method in this paper has greatly improved many important performances. Among them, the image quality is improved from 480p to 1080p, the clarity of the generated video can reach up to 98%. The experimental results show that the method applied in this paper can effectively improve the quality of the image and improve the interactive behavior with the user.

Openalex Percentile: Top 76%
Educational Technology and Pedagogy
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.