DocumentCode :
968880
Title :
Automatic video segmentation and tracking for content-based applications
Author :
Li, Hongliang ; Ngan, King N.
Author_Institution :
Chinese Univ. of Hong Kong, Shatin
Volume :
45
Issue :
1
fYear :
2007
Firstpage :
27
Lastpage :
33
Abstract :
Advanced multimedia applications have to provide content-related functionalities such as search and retrieval of meaningful objects, detection and analysis of events, and understanding of scenes, which allow the user to access and manipulate the multimedia content with greater flexibility. This greatly depends on automatic techniques for extracting such objects from multimedia data. In this article we intend to provide a tutorial on the state-of-the-art in video segmentation and tracking technology with particular attention paid to the recent developments in attention-based object extraction. Performance results are included to highlight this emerging technology
Keywords :
image segmentation; video retrieval; video signal processing; advanced multimedia applications; attention-based object extraction; automatic video segmentation; content-based applications; multimedia data; tracking technology; Application software; Computer vision; Content based retrieval; Data mining; Image coding; Image segmentation; Object detection; Shape; Video sequences; Videoconference;
fLanguage :
English
Journal_Title :
Communications Magazine, IEEE
Publisher :
ieee
ISSN :
0163-6804
Type :
jour
DOI :
10.1109/MCOM.2007.284535
Filename :
4064622
Link To Document :
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