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» Saliency Cuts: An automatic approach to object segmentation
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MM
2005
ACM
178views Multimedia» more  MM 2005»
15 years 11 months ago
Attention region selection with information from professional digital camera
The attentive region extraction is a challenging issue for semantic interpretation of image and video content. The successful attentive region extraction greatly facilitates image...
Song Liu, Liang-Tien Chia, Deepu Rajan
CVPR
2009
IEEE
17 years 1 months ago
Geometric Reasoning for Single Image Structure Recovery
We study the problem of generating plausible interpretations of a scene from a collection of line segments automatically extracted from a single indoor image. We show that we ca...
David C. Lee, Martial Hebert, Takeo Kanade
ICIP
2003
IEEE
16 years 7 months ago
An ontology approach to object-based image retrieval
In this paper, an image retrieval methodology suited for search in large collections of heterogeneous images is presented. The proposed approach employs a fully unsupervised segme...
Vasileios Mezaris, Ioannis Kompatsiaris, Michael G...
CVPR
2008
IEEE
16 years 19 days ago
A Loopy Belief Propagation approach for robust background estimation
Background estimation, i.e. automatic recovery of the background image from a sequence of images containing moving foreground objects, is an important module in many applications,...
Xun Xu, Thomas S. Huang
HAPTICS
2005
IEEE
15 years 11 months ago
A Haptic Interaction Technique for Volume Images Based on Gradient Diffusion
The manual step in semi-automatic segmentation of medical volume images typically involves initialization procedures such as placement of seed-points or positioning of surface mod...
Erik Vidholm, Ingela Nyström