Paper Info
Title
Spatio-temporal quasi-flat zones for morphological video segmentation
Abstract
In order to face the various needs of users, user-driven segmentation methods are expected to provide more relevant results than fully automatic approaches. Within Mathematical Morphology, several user-driven approaches have been proposed, mostly relying on the watershed transform. Nevertheless, Soille (IEEE TPAMI, 2008) has recently suggested another solution by gathering puzzle pieces computed as Quasi-Flat Zones (QFZ) of an image. In this paper, we study more deeply this user-driven segmentation scheme in the context of video data. Thus we also introduce the concept of Spatio-Temporal QFZ and propose several methods for extracting such zones from a video sequence.
Year
DOI
Venue
2011
10.1007/978-3-642-21569-8_16
Lecture Notes in Computer Science
Keywords
DocType
Volume
morphological video segmentation,user-driven approach,video data,user-driven segmentation method,mathematical morphology,spatio-temporal quasi-flat zone,ieee tpami,automatic approach,quasi-flat zones,spatio-temporal qfz,user-driven segmentation scheme,video sequence
Conference
6671
ISSN
Citations 
PageRank 
0302-9743
3
0.46
References 
Authors
10
3
Name
Order
Citations
PageRank
Jonathan Weber1394.59
Sébastien Lefèvre230346.92
Pierre Gançarski347356.94