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» Efficient Video Object Segmentation by Graph-Cut
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ICIP
1998
IEEE
15 years 1 months ago
Knowledge-based Segmentation of SAR Images
A new approach for the segmentation of still and video SAR images is described in this paper. A priori knowledge about the objects present in the image, e.g., target, shadow, and ...
Steven Haker, Guillermo Sapiro, Allen Tannenbaum
MM
2003
ACM
148views Multimedia» more  MM 2003»
15 years 2 months ago
Nonparametric color characterization using mean shift
Color is very useful in locating and recognizing objects that occur in artificial environments. The color histogram has shown its efficiency and advantages as a general tool for v...
Ling-Yu Duan, Min Xu, Qi Tian, Changsheng Xu
TIP
2008
344views more  TIP 2008»
14 years 9 months ago
A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications
Detection of moving objects in video streams is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being...
Lucia Maddalena, Alfredo Petrosino
CIVR
2006
Springer
104views Image Analysis» more  CIVR 2006»
15 years 1 months ago
Video Mining with Frequent Itemset Configurations
Abstract. We present a method for mining frequently occurring objects and scenes from videos. Object candidates are detected by finding recurring spatial arrangements of affine cov...
Till Quack, Vittorio Ferrari, Luc J. Van Gool
TCSV
2002
125views more  TCSV 2002»
14 years 9 months ago
Object-based video abstraction for video surveillance systems
ased Video Abstraction for Video Surveillance Systems Changick Kim, Member, IEEE, and Jenq-Neng Hwang, Fellow, IEEE Key frames are the subset of still images which best t the conte...
Changick Kim, Jenq-Neng Hwang