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TMM
2010
249views Management» more  TMM 2010»
15 years 2 months ago
Bridging the Semantic Gap Between Image Contents and Tags
With the exponential growth of Web 2.0 applications, tags have been used extensively to describe the image contents on the Web. Due to the noisy and sparse nature in the human gene...
Hao Ma, Jianke Zhu, Michael R. Lyu, Irwin King
CVPR
2011
IEEE
14 years 11 months ago
A Hierarchical Conditional Random Field Model for Labeling and Segmenting Images of Street Scenes
Simultaneously segmenting and labeling images is a fundamental problem in Computer Vision. In this paper, we introduce a hierarchical CRF model to deal with the problem of labelin...
Qixing Huang, Mei Han, Bo Wu, Sergey Ioffe
MMM
2011
Springer
234views Multimedia» more  MMM 2011»
14 years 11 months ago
Image Super-Resolution by Vectorizing Edges
As the resolution of output device increases, the demand of high resolution contents has become more eagerly. Therefore, the image superresolution algorithms become more important....
Chia-Jung Hung, Chun-Kai Huang, Bing-Yu Chen
PAMI
2012
13 years 10 months ago
Image Restoration by Matching Gradient Distributions
—The restoration of a blurry or noisy image is commonly performed with a MAP estimator, which maximizes a posterior probability to reconstruct a clean image from a degraded image...
Taeg Sang Cho, Charles Lawrence Zitnick, Neel Josh...
CVPR
2003
IEEE
16 years 9 months ago
Clustering Appearances of Objects Under Varying Illumination Conditions
We introduce two appearance-based methods for clustering a set of images of 3-D objects, acquired under varying illumination conditions, into disjoint subsets corresponding to ind...
Jeffrey Ho, Ming-Hsuan Yang, Jongwoo Lim, Kuang-Ch...