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» Image annotation refinement using random walk with restarts
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MM
2006
ACM
190views Multimedia» more  MM 2006»
13 years 10 months ago
Image annotation refinement using random walk with restarts
Image annotation plays an important role in image retrieval and management. However, the results of the state-of-the-art image annotation methods are often unsatisfactory. Therefo...
Changhu Wang, Feng Jing, Lei Zhang, HongJiang Zhan...
ICPR
2008
IEEE
13 years 11 months ago
Image annotation refinement using semantic similarity correlation
Automatic image annotation is a promising way to achieve more effective image management and retrieval by using keywords. However, system performances of the existing state-of-the...
Songhao Zhu, Yuncai Liu
ECCV
2008
Springer
14 years 9 months ago
Generative Image Segmentation Using Random Walks with Restart
We consider the problem of multi-label, supervised image segmentation when an initial labeling of some pixels is given. In this paper, we propose a new generative image segmentatio...
Tae Hoon Kim (Seoul National University), Kyoung M...
ICIP
2009
IEEE
14 years 3 months ago
Edge-preserving Colorization using Data-Driven Random Walks with Restart
In this paper, we consider the colorization problem of grayscale images in which some color scribbles are initially given. Our proposed method is based on the weighted color blendi...
Tae Hoon Kim (Seoul National University), Kyoung M...
ICDM
2006
IEEE
296views Data Mining» more  ICDM 2006»
13 years 10 months ago
Fast Random Walk with Restart and Its Applications
How closely related are two nodes in a graph? How to compute this score quickly, on huge, disk-resident, real graphs? Random walk with restart (RWR) provides a good relevance scor...
Hanghang Tong, Christos Faloutsos, Jia-Yu Pan