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

Volume

18

Issue

5

fYear

2014

fDate

May-14

Firstpage

781

Lastpage

784

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;

fLanguage

English

Journal_Title

Communications Letters, IEEE

Publisher

ieee

ISSN

1089-7798

Type

jour

DOI

10.1109/LCOMM.2014.031414.140097

Filename

6777404