An Online Intelligent Visual Interaction System
Abstract
This paper proposes an Online Intelligent Visual Interactive System (OIVIS), which can be applied to various live video broadcast and short video scenes to provide an interactive user experience. In the live video broadcast, the anchor can issue various commands by using pre-defined gestures, and can trigger real-time background replacement to create an immersive atmosphere. To support such dynamic interactivity, we implemented algorithms including real-time gesture recognition and real-time video portrait segmentation, developed a deep network inference framework, and a real-time rendering framework AI Gender at the front end to create a complete set of visual interaction solutions for use in resource constrained mobile.
Cite
Text
Zeng et al. "An Online Intelligent Visual Interaction System." International Joint Conference on Artificial Intelligence, 2019. doi:10.24963/IJCAI.2019/962Markdown
[Zeng et al. "An Online Intelligent Visual Interaction System." International Joint Conference on Artificial Intelligence, 2019.](https://mlanthology.org/ijcai/2019/zeng2019ijcai-online/) doi:10.24963/IJCAI.2019/962BibTeX
@inproceedings{zeng2019ijcai-online,
title = {{An Online Intelligent Visual Interaction System}},
author = {Zeng, Anxiang and Yu, Han and Gao, Xin and Ou, Kairi and Huang, Zhenchuan and Hou, Peng and Song, Mingli and Zhang, Jingshu and Miao, Chunyan},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2019},
pages = {6578-6580},
doi = {10.24963/IJCAI.2019/962},
url = {https://mlanthology.org/ijcai/2019/zeng2019ijcai-online/}
}