Video Browser Showdown by NUS

نویسندگان

  • Jin Yuan
  • Huan-Bo Luan
  • Dejun Hou
  • Han Zhang
  • Yan-Tao Zheng
  • Zheng-Jun Zha
  • Tat-Seng Chua
چکیده

The known item search task (KIS) aims to retrieve a unique video or video clip in the video corpus. This paper presents a novel interactive video browsing system for KIS task. Our system integrates visual content-based, text-based and concept-based search approaches. It allows users to flexibly choose the search approaches. Moreover, two novel feedback schemes are employed: first, users can specify the temporal order in visual and conceptual inputs; second, users can label related samples with respect to visual, textual and conceptual features. Adopting these two feedback schemes greatly enhances search performance.

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تاریخ انتشار 2012