TRECVID 2013 GENIE: Multimedia Event Detection and Recounting

نویسندگان

  • Sangmin Oh
  • A. G. Amitha Perera
  • Ilseo Kim
  • Megha Pandey
  • Kevin Cannons
  • Hossein Hajimirsadeghi
  • Arash Vahdat
  • Greg Mori
  • Ben Miller
  • Scott McCloskey
  • You-Chi Cheng
  • Zhen Huang
  • Chin-Hui Lee
  • Chenliang Xu
  • Rohit Kumar
  • Wei Chen
  • Jason Corso
  • L. Fei-Fei
  • Daphne Koller
  • Vignesh Ramanathan
  • Kevin Tang
  • Armand Joulin
  • Alexandre Alahi
چکیده

Our MED 13 system is an extension of our MED 12 system [12, 13], and consists of a collection of lowlevel and high-level features, feature-specific classifiers built upon those features, and a fusion system that combines features both through mid-level kernel fusion and late fusion. Our MED submissions include total of 24 different configurations which consist of combinations of 2 submission timings (PS/AH), 3 training conditions (100/10/0Ex), and 4 types of feature conditions (Full/Visual/Audio/ASR). Our MER 13 submissions reported recounting for all five MER events. Our MER system combines evidences from multiple base classifiers, which are translated to texts and used to identify key frames. Multiple MER results are fused and presented to users as recounting for each detection.

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تاریخ انتشار 2013