NII-UIT at MediaEval 2014 Violent Scenes Detection Affect Task

نویسندگان

  • Vu Lam
  • Duy-Dinh Le
  • Sang Phan Le
  • Shin'ichi Satoh
  • Duc Anh Duong
چکیده

Violent scene detection (VSD) is a challenging problem because of the heterogeneous content, large variations in video quality, and semantic meaning of the concepts. The Violent Scenes Detection Task of MediaEval [1] provides a common dataset and evaluation protocol thus enables a fair comparison of methods. In this paper, we describe our VSD system used in MediaEval 2014 and briefly discuss the performance results obtained in main subjective tasks. In this year, we focus on improving the trajectory-based motion features that have been proven effective in previous year’s evaluation. Besides that, we also adopt SIFT-based and audio features as in last year’s system. We combined these features using late fusion. Our results show that the trajectory-based motion features still have very competitive performance and the combination with still image features and audio features can improve overall performance.

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تاریخ انتشار 2014