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» Finding Pictures of Objects in Large Collections of Images
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CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
14 years 11 months ago
Semi-supervised learning of object categories from paired local features
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Wen Wu, Jie Yang
MM
2010
ACM
162views Multimedia» more  MM 2010»
14 years 9 months ago
Interactive visual object search through mutual information maximization
Searching for small objects (e.g., logos) in images is a critical yet challenging problem. It becomes more difficult when target objects differ significantly from the query object...
Jingjing Meng, Junsong Yuan, Yuning Jiang, Nitya N...
89
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ICCV
2005
IEEE
15 years 11 months ago
Object Recognition in High Clutter Images Using Line Features
We present an object recognition algorithm that uses model and image line features to locate complex objects in high clutter environments. Finding correspondences between model an...
Philip David, Daniel DeMenthon
ICMCS
2006
IEEE
135views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Inquiring of the Sights from the Web via Camera Mobiles
In this paper, we presented an image search service for mobile users. It can be used to acquire related information by taking and sending pictures to the server, for example, gett...
Yinghua Zhou, Xin Fan, Xing Xie, Yuchang Gong, Wei...
MVA
2007
158views Computer Vision» more  MVA 2007»
14 years 9 months ago
Hybrid object labelling in digital images
The application of a technique for labelling connected components based on the classical recursive technique is studied. The recursive approach permits labelling, counting, and cha...
Julio Martín-Herrero