Anchor Shot Detection in TRECVID-2005 Broadcast News Videos

نویسندگان

  • Akira Yanagawa
  • Winston Hsu
  • Shih-Fu Chang
  • HongJiang Zhang
چکیده

In this paper, we discuss a new method for detecting anchor shots in broadcast news video. Our approach makes use of face information that includes the position, the size and the number of faces detected in the image frame. To alleviate the adverse effects caused by occasional face detection errors, we propose two new ideas based on multiple queries and zero face padding. Our experiments over TRECVID 2005 data confirm the robustness of our approach – 97.6% precision at 85.7% recall and improves the baseline up to the maximum of about 15% in recall with the almost same precision.

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تاریخ انتشار 2006