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» Incorporating multiple SVMs for automatic image annotation
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PR
2007
133views more  PR 2007»
13 years 4 months ago
Incorporating multiple SVMs for automatic image annotation
In this paper, a novel automatic image annotation system is proposed, which integrates two sets of support vector machines (SVMs), namely the multiple instance learning (MIL)-base...
Xiaojun Qi, Yutao Han
ICIP
2005
IEEE
14 years 6 months ago
A complementary SVMs-based image annotation system
A novel automatic image annotation system is proposed, which integrates two sets of SVMs (Support Vector Machines), namely the MIL-based (Multiple Instance Learning) and global-fe...
Yutao Han, Xiaojun Qi
ICIAR
2005
Springer
13 years 10 months ago
Machine-Learning-Based Image Categorization
In this paper, a novel and efficient automatic image categorization system is proposed. This system integrates the MIL-based and global-featurebased SVMs for categorization. The IP...
Yutao Han, Xiaojun Qi
CIVR
2007
Springer
157views Image Analysis» more  CIVR 2007»
13 years 11 months ago
Using multiple segmentations for image auto-annotation
Automatic image annotation techniques that try to identify the objects in images usually need the images to be segmented first, especially when specifically annotating image reg...
Jiayu Tang, Paul H. Lewis
CIVR
2007
Springer
160views Image Analysis» more  CIVR 2007»
13 years 11 months ago
Automatic image annotation by an iterative approach: incorporating keyword correlations and region matching
Automatic image annotation automatically labels image content with semantic keywords. For instance, the Relevance Model estimates the joint probability of the keyword and the imag...
Xiangdong Zhou, Mei Wang, Qi Zhang, Junqi Zhang, B...