NDLI: Semantic video object extraction based on backward tracking of multivalued watershed

Content Provider	IEEE Xplore Digital Library
Author	Gatica-Perez, D. Ming-Ting Sun Chuang Gu
Copyright Year	1999
Description	Author affiliation: Washington Univ., Seattle, WA, USA (Gatica-Perez, D.; Ming-Ting Sun)
Abstract	We present a novel algorithm for semantic video object (SVO) extraction, based on a new multivalued morphological spatial segmentation that integrates color and edge information, and object tracking by backward region classification. Our proposed spatial segmentation incorporates a new marker extraction method based on intensity edge information that improves the definition of the real borders of the scene objects, and a new distance criterion based on color and edge information to guide the watershed algorithm. Experimental results on several MPEG-4 test video sequences show that our algorithm improves the precision of the extracted SVO boundaries compared to the traditional water-shed technique, and that it is capable of tracking multiple SVOs in static and moving camera scenarios.
Sponsorship	IEEE Signal Process. Soc. IEICE
Starting Page	145
Ending Page	149
File Size	867036
Page Count	5
File Format	PDF
ISBN	0780354672
DOI	10.1109/ICIP.1999.822872
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-10-24
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Humans Layout Data mining MPEG 4 Standard Testing Cameras Floods Sun Video sequences
Content Type	Text
Resource Type	Article

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