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EventLens: An Automatic Magazine Generating System for Social Media

  • Hao Chen
  • Han Tang
  • Zhiyu Wang
  • Peng Cui
  • Yingquing Xu
  • Shiqiang Yang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8016)

Abstract

Social media has become the most convenient platform for news reading nowadays. In this paper, we introduce an automated digital magazine generating system—EventLens, which provides a platform to help the users get information more effectively through intelligent information selection and integration on social media. In our application, we not only design the functionalities, interface, and overall user experience to satisfy users’ need in terms of information content and reading habits, but also propose the necessary solutions: an automated magazine layout method and a swift image retargeting method to solve the problems in the process of digital magazine auto-generation.

Keywords

magazine generating layout image retargeting usability 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Hao Chen
    • 1
  • Han Tang
    • 1
  • Zhiyu Wang
    • 1
  • Peng Cui
    • 1
  • Yingquing Xu
    • 1
  • Shiqiang Yang
    • 1
  1. 1.Tsinghua UniversityChina

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