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CIVR
2004
Springer
117views Image Analysis» more  CIVR 2004»
16 years 2 days 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
166
Voted
IVC
2008
83views more  IVC 2008»
15 years 6 months ago
A minimum description length objective function for groupwise non-rigid image registration
Groupwise non-rigid registration aims to find a dense correspondence across a set of images, so that analogous structures in the images are aligned. For purely automatic inter-sub...
Stephen Marsland, Carole J. Twining, Christopher J...
IVC
2007
82views more  IVC 2007»
15 years 6 months ago
Cloud covering denoising through image fusion
This paper presents a solution to the cloud removal problem, based in a recently developed image fusion methodology consisting in applying a 1-D pseudo-Wigner distribution (PWD) t...
Salvador Gabarda, Gabriel Cristóbal
CVPR
2012
IEEE
13 years 9 months ago
Unsupervised feature learning framework for no-reference image quality assessment
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
Peng Ye, Jayant Kumar, Le Kang, David S. Doermann
CVPR
2008
IEEE
16 years 8 months ago
Color constancy beyond bags of pixels
Estimating the color of a scene illuminant often plays a central role in computational color constancy. While this problem has received significant attention, the methods that exi...
Ayan Chakrabarti, Keigo Hirakawa, Todd Zickler