Title :
Chasing the Most Popular Video: An Evolutionary Video Clip Selection
Author :
Jianting Yue ; Bo Yang ; Cailian Chen ; Xinping Guan
Author_Institution :
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, ON, Canada
Abstract :
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.
Keywords :
evolutionary computation; learning (artificial intelligence); video signal processing; Q-learning based algorithm; evolutionary game; evolutionary video clip selection process; video popularity; Games; Heuristic algorithms; Quality assessment; Streaming media; Switches; Video recording; Wireless communication; Q-learning; Video; evolutionary game; popularity;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2014.031414.140097
