Video browser showdown by NUS

  • Authors:

  • Jin Yuan;Huanbo Luan;Dejun Hou;Han Zhang;Yan-Tao Zheng;Zheng-Jun Zha;Tat-Seng Chua

  • Affiliations:

  • School of Computing, National University of Singapore, Singapore;School of Computing, National University of Singapore, Singapore;School of Computing, National University of Singapore, Singapore;School of Computing, National University of Singapore, Singapore;School of Computing, National University of Singapore, Singapore;School of Computing, National University of Singapore, Singapore;School of Computing, National University of Singapore, Singapore

  • Venue:
  • MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
  • Year:
  • 2012

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Abstract

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.