Paper Info
Title
Video summarization using simple action patterns
Abstract
Video summarization, which has a tremendous usage area that spreads from information retrieval to data compression, plays a crucial role in the multimedia understanding. In recent years, with the explosion of the number of videos and their area of use, video summarization became a must to signify. Therefore, this work introduces a novel approach for the summarization problem which is based on human movement understanding. Proposed system presents efficient video knowledge extraction, especially for surveillance cases. Human centric videos are analyzed with histogram of oriented gradients as feature extractor and optical flow as motion descriptor. Above these, a template matching algorithm implemented in a shrinkable and stretchable manner to search for periodicity and thereby extract patterns. Summarization is built up on the validation of these extracted patterns with a correlation based search-through subsystem.
Year
Venue
Keywords
2012
Pattern Recognition
data compression,feature extraction,gradient methods,image matching,image motion analysis,image sequences,video retrieval,video signal processing,video streaming,video surveillance,data compression,feature extraction,histogram of oriented gradient,human centric video analysis,human movement understanding,information retrieval,motion descriptor,multimedia understanding,optical flow,simple action pattern extraction,template matching algorithm,video knowledge extraction,video summarization,video surveillance
Field
DocType
ISSN
Automatic summarization,Computer vision,Block-matching algorithm,Pattern recognition,Computer science,Motion compensation,Multiview Video Coding,Video tracking,Artificial intelligence,Video denoising,Video compression picture types,Uncompressed video
Conference
1051-4651
ISBN
Citations 
PageRank 
978-1-4673-2216-4
0
0.34
References 
Authors
7
4
Name
Order
Citations
PageRank
M. Said Aydemir100.68
Ugur Ergul232.74
Adem Guclu300.34
M. Elif Karsligil47313.69