DocumentCode
3542674
Title
Video indexing using salient region based spatio-temporal segmentation approach
Author
Sameh, Megrhi ; Wided, Souidène ; Beghdadi, Azeddine ; Amar, Chokri B.
Author_Institution
L2TI, Paris, France
fYear
2012
fDate
10-12 May 2012
Firstpage
170
Lastpage
173
Abstract
This paper proposes an original method for video indexing based on a spatio-temporal segmentation scheme. The basic idea is to extract salient regions from the video content and use them as scene descriptors for indexing. The obtained results confirm the efficiency of the proposed approach and open new perspectives for video summarizing and indexing.
Keywords
database indexing; feature extraction; image segmentation; video signal processing; salient region extraction; scene descriptors; spatiotemporal segmentation approach; video content; video indexing; video summarizing; Computer vision; Feature extraction; Image color analysis; Image segmentation; Indexing; Vectors; Video sequences; Saliency Map Computation; Spatio-Temporal Description; Video Indexing; Video Segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Computing and Systems (ICMCS), 2012 International Conference on
Conference_Location
Tangier
Print_ISBN
978-1-4673-1518-0
Type
conf
DOI
10.1109/ICMCS.2012.6320204
Filename
6320204
Link To Document