Title :
An integrated method for video shot boundary detection
Author :
Zhu, Lei ; Qu, Junfeng ; Rahman, Muhammad Asadur ; Hong, Weihu
Author_Institution :
Coll. of Inf. & Math. Sci., Clayton State Univ., Morrow, GA, USA
Abstract :
Video shot boundary detection, which segments a video by detecting boundaries between camera shots, is usually the first and important step for content-based video retrieval. This paper investigates methods which are effective in detecting abrupt transitions and gradual transitions, respectively, and proposes an integration scheme to combine their results, aiming to detect both types of transitions.
Keywords :
video retrieval; camera shots; content-based video retrieval; video shot boundary detection; Cameras; Content based retrieval; Gunshot detection systems; Histograms; Humans; Image segmentation; Information retrieval; Layout; Video sharing; YouTube; abrupt transitions; cuts; dissolves; fades; gradual transitions; video shot boundary detection; wipes;
Conference_Titel :
IEEE SoutheastCon 2010 (SoutheastCon), Proceedings of the
Conference_Location :
Concord, NC
Print_ISBN :
978-1-4244-5854-7
DOI :
10.1109/SECON.2010.5453813
