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, Turkey, 11 - 13 June 2007, pp.1016-1019 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/siu.2007.4298730
  • City: Eskişehir
  • Country: Turkey
  • Page Numbers: pp.1016-1019
  • Kocaeli University Affiliated: Yes

Abstract

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.