Video is experiencing an unprecedented development in the recent decade. Based on content reuse, multiple video users could share same video clips. Also, as a common scene, video users are always chasing popular video clips. In this paper, we apply video popularity as a spontaneous label to distinguish different video clips. Moreover, we associate video popularity with video quality, thus facilitating video users in pursuing video clips with both satisfying video popularity and video quality. We first apply evolutionary game to model the video clip selection process, and then propose a Q-learning based algorithm.
['Jianting Yue', 'Bo Yang', 'Cailian Chen', 'Xinping Guan']
Chasing the Most Popular Video: An Evolutionary Video Clip Selection