Visual Group Binary Signature for Video Copy Detection


Ozkan S., Esen E., AKAR G.

22nd International Conference on Pattern Recognition (ICPR), Stockholm, İsveç, 24 - 28 Ağustos 2014, ss.3945-3950 identifier identifier

  • Doi Numarası: 10.1109/icpr.2014.676
  • Basıldığı Şehir: Stockholm
  • Basıldığı Ülke: İsveç
  • Sayfa Sayıları: ss.3945-3950

Özet

Need for automatic video copy detection is increased with the recent technical developments in the internet technologies and video recording. Even though image-based techniques with bag-of-word kind of representations are accepted as the best solution because of robustness and speed; they discard the convenient geometric relation which exists among interest points. In this work, we propose a novel geometric relation which computes a binary signature leveraging existence and non-existence of interest points in the neighborhood area. The experimental results on TRECVID 2009 content-based video copy detection dataset show that combination of our method with recently proposed quantization-based indexing and weak geometric consistency schemes outperforms classical representations.