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» Image Spam Filtering Using Visual Information
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ICPR
2006
IEEE
14 years 8 months ago
Extracting Lines in Noisy Image Using Directional Information
Detection of lines in noisy image is not easy. When using Hough transform, multiple false peaks may be generated from collinear noisy edge points, which in turn may create false l...
Arturo Sanchez-Azofeifa, Jun Zhou, Walter F. Bisch...
PAMI
1998
94views more  PAMI 1998»
13 years 7 months ago
Unconstrained Automatic Image Matching Using Multiresolutional Critical-Point Filters
—This paper proposes a novel method for matching images. The results can be used for a variety of applications: fully automatic morphing, object recognition, stereo photogrammetr...
Yoshihisa Shinagawa, Tosiyasu L. Kunii
CVPR
2000
IEEE
14 years 9 months ago
Boosting Image Retrieval
Online photo sharing systems, such as Flickr and Picasa, provide a valuable source of human-annotated photos. Textual annotations are used not only to describe the visual content ...
Kinh Tieu, Paul A. Viola
ICIP
2005
IEEE
14 years 9 months ago
Super-resolution from highly undersampled images
Aliasing artifacts in images are visually very disturbing. Therefore, most imaging devices apply a low-pass filter before sampling. This removes all aliasing from the image, but i...
Luciano Sbaiz, Martin Vetterli, Patrick Vandewalle...
JCS
2010
135views more  JCS 2010»
13 years 6 months ago
New filtering approaches for phishing email
Phishing emails usually contain a message from a credible looking source requesting a user to click a link to a website where she/he is asked to enter a password or other confide...
André Bergholz, Jan De Beer, Sebastian Glah...