Title :
Video segmentation based on active vision
Author :
Cesarano, C. ; Moscato, V. ; Picariello, A.
Author_Institution :
Univ. di Napoli, Italy
Abstract :
In this paper we present a novel approach for video shot segmentation based on active vision techniques. A continuity function is introduced taking into account the results from biological vision and experiments and discussions are carried out.
Keywords :
active vision; image segmentation; image sequences; multimedia communication; active vision; biological vision; continuity function; multimedia applications; video sequences; video shot segmentation; Animation; Cameras; Detection algorithms; Fires; Layout; Video sequences;
Conference_Titel :
Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on
Print_ISBN :
0-7803-7946-2
DOI :
10.1109/ISSPA.2003.1224684
