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
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;
Conference_Titel :
Multimedia Computing and Systems (ICMCS), 2012 International Conference on
Conference_Location :
Tangier
Print_ISBN :
978-1-4673-1518-0
DOI :
10.1109/ICMCS.2012.6320204
