Ligthor is a system for extracting highlights from live streaming videos using implicit crowdsourcing. To reproduce our experiments, please refer to our repo.
Compared with deep learning, Lightor uses a small set of training data (1 video) and much simpler model to reach a high precision. The training time for Lightor is seconds while hours or even days for deep learning.
Lightor adopts a general model and workflow, which performs well on many different domains of videos, while most of deep learning based approaches only work well on the domain of training data.
The user interface of Lightor is simply a video player with red dots on progress bar, which is very easy to deploy on existing live streaming platforms like Twitch.