Title :
Rule-based scene extraction from video
Author :
Chen, Lei ; Özsu, Tamer M.
Author_Institution :
Dept. of Comput. Sci., Waterloo Univ., Ont., Canada
Abstract :
Instead of clustering video shots into scenes using low level image features, in this paper, we propose a rule-based model to extract simple dialog or action scenes. Through analyzing video editing rules and observing temporal appearance patterns of shots in dialog scenes of movies, we deduce a set of rules to recognize dialog or action scenes. Based on these rides, a finite state machine is designed to extract dialog or action scenes from videos automatically.
Keywords :
finite state machines; image recognition; knowledge based systems; video signal processing; action scenes; dialog scenes; finite state machine; movies; rule-based model; rule-based scene extraction; temporal appearance patterns; video editing; video shots; Automata; Cameras; Computer science; Database systems; Interleaved codes; Layout; Motion pictures; Pattern analysis; Pattern recognition;
Conference_Titel :
Image Processing. 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7622-6
DOI :
10.1109/ICIP.2002.1040056