Scene-cut detection using best fitting kernel and modified phase correlation methods

Uerguen Y., URHAN O., Guellue M. K., Ertuerk S.

IEEE 15th Signal Processing and Communications Applications Conference, Eskişehir, Türkiye, 11 - 13 Haziran 2007, ss.1016-1019 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/siu.2007.4298730
  • Basıldığı Şehir: Eskişehir
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1016-1019
  • Kocaeli Üniversitesi Adresli: Evet

Özet

In this paper, a novel scene-cut detection system based on best-fitting kernel and modified phase correlation is proposed Initially, the best-fitting kernel coefficients are obtained for two consecutive sub-sampled image frames in least square sense using the best-fitting kernel method. This kernel is then used to estimate frame t+1 from frame t.Then, modified phase correlation is applied to the estimated and the orginal frame for t+1 as a decision metric and a double threshold strategy is applied to get candidate scene-cuts. Finally the candidate scene-cuts are applied to a false frame removal algorithm to prevent false detections.