Title :
Automatic cut and camera operation detection for video
Author :
Hirzalla, Nael ; Karmouch, Ahmed
Author_Institution :
Multimedia Inf. Res. Lab., Ottawa Univ., Ont., Canada
Abstract :
Video should be segmented into shots to be used for identification and indexing. Various changes may happen within a single shot such as those related to camera operations, object movements, flashes, etc. Various similarities between different shots may also occur. Therefore, techniques based on interframe comparisons may result in detecting false cuts or missing true cuts if the appropriate threshold has not been chosen. In this paper, we propose a detection algorithm that understands and detects various changes within a shot in order to detect the cuts between separate shots
Keywords :
image recognition; video signal processing; automatic cut detection; camera operation detection; camera operations; detection algorithm; flashes; identification; indexing; interframe comparisons; object movements; shots; threshold; video; Cameras; Detection algorithms; Gunshot detection systems; Histograms; Indexing; Information retrieval; Laboratories; Streaming media;
Conference_Titel :
Consumer Electronics, 1995., Proceedings of International Conference on
Conference_Location :
Rosemont, IL
Print_ISBN :
0-7803-2140-5
DOI :
10.1109/ICCE.1995.517992