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» A quality prediction model for JPEG2000-based color images
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CVPR
2012
IEEE
11 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
APGV
2006
ACM
138views Visualization» more  APGV 2006»
13 years 9 months ago
Verification of rendering quality from measured BTFs
One of the most important, still unsolved problems in computer graphics is the generation of predictive imagery, i.e., images that represent perfect renditions of reality. Such pe...
Jan Meseth, Gero Müller, Reinhard Klein, Flor...
FGR
2008
IEEE
238views Biometrics» more  FGR 2008»
14 years 1 months ago
Focus on quality, predicting FRVT 2006 performance
This paper summarizes a study carried out on data from the Face Recognition Vendor Test 2006 (FRVT 2006). The finding of greatest practical importance is the discovery of a stron...
J. Ross Beveridge, Geof H. Givens, P. Jonathon Phi...
ICML
2007
IEEE
14 years 8 months ago
Learning to compress images and videos
We present an intuitive scheme for lossy color-image compression: Use the color information from a few representative pixels to learn a model which predicts color on the rest of t...
Li Cheng, S. V. N. Vishwanathan
ACCV
2010
Springer
13 years 2 months ago
Four Color Theorem for Fast Early Vision
Recent work on early vision such as image segmentation, image restoration, stereo matching, and optical flow models these problems using Markov Random Fields. Although this formula...
Radu Timofte, Luc J. Van Gool