Personalized sports video customization for mobile devices

  • Authors:

  • Chao Liang;Yu Jiang;Jian Cheng;Changsheng Xu;Xiaowei Luo;Jinqiao Wang;Yu Fu;Hanqing Lu;Jian Ma

  • Affiliations:

  • National Labortory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China;National Labortory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China;National Labortory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China;National Labortory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China;School of Automation, Wuhan University of Technology, Wuhan, China;National Labortory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China;National Labortory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China;National Labortory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China;Nokia Research Center, Beijing, China

  • Venue:
  • MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
  • Year:
  • 2010

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Abstract

In this paper, we have designed and implement a mobile personalized sports video customization system, which aims to provide mobile users with interesting video clips according to their personalized preferences. With the B/S architecture, the whole system includes an intelligent multimedia content server and a client interface on smart phones. For the content server, the web casting text is utilized to detect live events from sports video, which can generate both accurate event location and rich content description. The annotation results are stored in the MPEG-7 format and then the server can provide personalized video retrieval and summarization services based on both game content and user preference. For the client interface, a friend UI is designed for mobile users to customize their favorite video clips. With a new ‘4C' evaluation criterion, our proposed system is proved effective by both quantitative and qualitative experiments conducted on five sports matches.