Interactive adaptive system for semantic object extraction from image sequences

Author(s):  
Ju Guo ◽  
JongWon Kim ◽  
C.-C. Jay Kuo
2008 ◽  
Vol 41 (10) ◽  
pp. 3244-3250 ◽  
Author(s):  
Jing Li ◽  
Xuelong Li ◽  
Dacheng Tao

Author(s):  
Peng Li ◽  
Zhipeng Cai ◽  
Cheng Wang ◽  
Zhuo Sun ◽  
Hanyun Wang ◽  
...  

2007 ◽  
Vol 43 (22) ◽  
pp. 1189 ◽  
Author(s):  
S. Ghanbari ◽  
J.C. Woods ◽  
H.R. Rabiee ◽  
S.M. Lucas

2000 ◽  
Author(s):  
Ju Guo ◽  
JongWon Kim ◽  
C.-C. Jay Kuo

2014 ◽  
Vol 1049-1050 ◽  
pp. 1675-1680
Author(s):  
Wen Ting Yu ◽  
Jing Ling Wang ◽  
Long Ye

Object extraction, which aims to accurately separate a foreground object from its background in still images, plays an important role in many computer vision applications. An interactive object extraction method based on MSRM (maximal similarity based region merging) is presented in this paper. We can manually mark the target and background only one time in any one image of the image sequence to obtain the object extraction result of the image sequence. Compared to currently used method based on graph cut algorithm that manually marks the target and background on all the images one by one to get the object extraction result, our method is more efficient and the result is as precious as with other methods.


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