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CIVR
2004
Springer
117views Image Analysis» more  CIVR 2004»
14 years 1 months ago
Using Maximum Entropy for Automatic Image Annotation
In this paper, we propose the use of the Maximum Entropy approach for the task of automatic image annotation. Given labeled training data, Maximum Entropy is a statistical techniqu...
Jiwoon Jeon, R. Manmatha
NIPS
2008
13 years 9 months ago
Multi-Level Active Prediction of Useful Image Annotations for Recognition
We introduce a framework for actively learning visual categories from a mixture of weakly and strongly labeled image examples. We propose to allow the categorylearner to strategic...
Sudheendra Vijayanarasimhan, Kristen Grauman
WACV
2012
IEEE
12 years 3 months ago
Tools for richer crowd source image annotations
Crowd-sourcing tools such as Mechanical Turk are popular for annotation of large scale image data sets. Typically, these annotations consist of bounding boxes or coarse outlines o...
Joshua Little, Austin Abrams, Robert Pless
SIGIR
2011
ACM
12 years 11 months ago
Mining weakly labeled web facial images for search-based face annotation
In this paper, we investigate a search-based face annotation framework by mining weakly labeled facial images that are freely available on the internet. A key component of such a ...
Dayong Wang, Steven C. H. Hoi, Ying He