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» Learning Contextual Metrics for Automatic Image Annotation
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WWW
2011
ACM
13 years 2 months ago
Learning facial attributes by crowdsourcing in social media
Facial attributes such as gender, race, age, hair style, etc., carry rich information for locating designated persons and profiling the communities from image/video collections (...
Yan-Ying Chen, Winston H. Hsu, Hong-Yuan Mark Liao
SIGIR
2005
ACM
14 years 1 months ago
A database centric view of semantic image annotation and retrieval
We introduce a new model for semantic annotation and retrieval from image databases. The new model is based on a probabilistic formulation that poses annotation and retrieval as c...
Gustavo Carneiro, Nuno Vasconcelos
ICCV
2009
IEEE
15 years 15 days ago
Learning Actions From the Web
This paper proposes a generic method for action recognition in uncontrolled videos. The idea is to use images collected from the Web to learn representations of actions and use ...
Nazli Ikizler-Cinbis, R. Gokberk Cinbis, Stan Scla...
WWW
2004
ACM
14 years 8 months ago
Web image learning for searching semantic concepts in image databases
Without textual descriptions or label information of images, searching semantic concepts in image databases is still a very challenging task. While automatic annotation techniques...
Chu-Hong Hoi, Michael R. Lyu
CVPR
2010
IEEE
14 years 3 months ago
Personalization of Image Enhancement
We address the problem of incorporating user preference in automatic image enhancement. Unlike generic tools for automatically enhancing images, we seek to develop methods that ca...
Sing Bing Kang, Ashish Kapoor, Dani Lischinski