REGULAR PAPERS Broadcast Cricket Highlight Treatment using a Quadrant Based Method for Global Motion Akash Pooransingh and Cathy-Ann Radix Using a Variation of Elgamal Signature to Support Fast and Lazy Authenticating Origin Autonomous Systems

نویسندگان

  • Bo Yang
  • Qing Tian
  • Teng Guo
  • Shuai Qiao
  • Yun Wei
  • Wei-wei Fei
  • Qian Chen
  • Zhiguo Gui
  • Xin Guo
  • Jin Xie
  • Li Li
  • Yanqiao Zhao
  • Jiubin Tan
  • Jian Liu
  • Wei Liu
  • Sheng Feng
  • Daoli Huang
  • Akash Pooransingh
چکیده

The Quadrant Based Method (QUADBAM) for Global Motion Estimation introduced here exploits local motion fields. QUADBAM produces similar results to other global motion estimation methods with a lower algorithmic complexity. Two applications of QUADBAM in the treatment of broadcast cricket highlights are presented. An automated highlight detector for broadcast cricket, based solely on QUADBAM generated global motion features, provides acceptable recall rates. Mosaic visualization of individual cricket highlights, created using QUADBAM generated global motion features, are suitable for highlight summaries.

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تاریخ انتشار 2014