IJCAI 2020poster0 citations
An AI-empowered Visual Storyline Generator
Chang Liu, Zhao Yong Lim, Han Yu, Zhiqi Shen, Ian Dixon, Zhanning Gao, Pan Wang, Peiran Ren
Abstract
Video editing is currently a highly skill- and time-intensive process. One of the most important tasks in video editing is to compose the visual storyline. This paper outlines Visual Storyline Generator (VSG), an artificial intelligence (AI)-empowered system that automatically generates visual storylines based on a set of images and video footages provided by the user. It is designed to produce engaging and persuasive promotional videos with an easy-to-use interface. In addition, users can be involved in refining the AI-generated visual storylines. The editing results can be used as training data to further improve the AI algorithms in VSG.
Computer Vision: generalHuman-Computer Interactive Systems: general
BibTeX
@inproceedings{ijcai2020p765,
title = {An AI-empowered Visual Storyline Generator},
author = {Liu, Chang and Lim, Zhao Yong and Yu, Han and Shen, Zhiqi and Dixon, Ian and Gao, Zhanning and Wang, Pan and Ren, Peiran and Xie, Xuansong and Cui, Lizhen and Miao, Chunyan},
booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on
Artificial Intelligence, {IJCAI-20}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Christian Bessiere},
pages = {5267--5269},
year = {2020},
month = {7},
note = {Demos},
doi = {10.24963/ijcai.2020/765},
url = {https://doi.org/10.24963/ijcai.2020/765},
}