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CVPR
2012
IEEE
13 years 9 days 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
IWCIA
2009
Springer
15 years 4 months ago
Signatures of Combinatorial Maps
Abstract. In this paper, we address the problem of computing a canonical representation of an n-dimensional combinatorial map. To do so, we define two combinatorial map signatures...
Stéphane Gosselin, Guillaume Damiand, Chris...
PAMI
2007
101views more  PAMI 2007»
14 years 9 months ago
Surface Dependent Representations for Illumination Insensitive Image Comparison
—We consider the problem of matching images to tell whether they come from the same scene viewed under different lighting conditions. We show that the surface characteristics det...
Margarita Osadchy, David W. Jacobs, Michael Linden...
IJCV
2011
264views more  IJCV 2011»
14 years 4 months ago
Cost-Sensitive Active Visual Category Learning
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
Sudheendra Vijayanarasimhan, Kristen Grauman
ICIP
2006
IEEE
15 years 11 months ago
Signal Processing Problems and Algorithms in Display Side of 3DTV
Two important signal processing problems in the display side of a holographic 3DTV are the computation of the diffraction field of a 3D object from its abstract representation, an...
Atanas P. Gotchev, Erdem Ulusoy, Gokhan Bora Esmer...