Chasing the Most Popular Video: An Evolutionary Video Clip Selection

Yue Jianting; Yang Bo; Chen Cailian; Guan Xinping

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Chasing the Most Popular Video: An Evolutionary Video Clip Selection

机译：追逐最受欢迎的视频：进化的视频剪辑选择

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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.

机译：在最近十年中，视频正经历着前所未有的发展。基于内容重用，多个视频用户可以共享相同的视频剪辑。另外，作为一个常见的场景，视频用户一直在追逐流行的视频剪辑。在本文中，我们将视频流行度作为自发标签来区分不同的视频剪辑。此外，我们将视频受欢迎程度与视频质量相关联，从而帮助视频用户追求既满足视频受欢迎度又具有视频质量的视频剪辑。我们首先应用进化博弈对视频片段选择过程进行建模，然后提出基于Q学习的算法。

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来源
《IEEE communications letters》 |2014年第5期|781-784|共4页
作者
Yue Jianting; Yang Bo; Chen Cailian; Guan Xinping;
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作者单位

Department of Electrical and Computer Engineering, McMaster University, Hamilton, Ontario, Canada|c|;

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原文格式 PDF
正文语种 eng
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关键词
Q-learning; Video; evolutionary game; popularity;

机译：Q学习;视频;进化游戏;人气;

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Chasing the Most Popular Video: An Evolutionary Video Clip Selection

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