Scene-cut detection using best fitting kernel and modified phase correlation methods
IEEE 15th Signal Processing and Communications Applications Conference, Eskişehir, Türkiye, 11 - 13 Haziran 2007, ss.1016-1019, (Tam Metin Bildiri)
- 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.