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95
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ACMSE
2006
ACM
15 years 3 months ago
Using visual attention to extract regions of interest in the context of image retrieval
Recent research on computational modeling of visual attention has demonstrated that a bottom-up approach to identifying salient regions within an image can be applied to diverse a...
Oge Marques, Liam M. Mayron, Gustavo B. Borba, Hum...
76
Voted
TMI
2002
143views more  TMI 2002»
14 years 9 months ago
A Support Vector Machine Approach for Detection of Microcalcifications
In this paper, we investigate an approach based on support vector machines (SVMs) for detection of microcalcification (MC) clusters in digital mammograms, and propose a successive ...
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Niko...
AUSAI
2007
Springer
15 years 3 months ago
Automated Intelligent Abundance Analysis of Scallop Survey Video Footage
Underwater video is increasingly being pursued as a low impact alternative to traditional techniques (such as trawls and dredges) for determining abundance and size frequency of ta...
Rob Fearn, Raymond Williams, R. Mike Cameron-Jones...
68
Voted
ICPR
2008
IEEE
15 years 11 months ago
A machine learning based scheme for double JPEG compression detection
Double JPEG compression detection is of significance in digital forensics. We propose an effective machine learning based scheme to distinguish between double and single JPEG comp...
Chunhua Chen, Wei Su, Yun Q. Shi
IPPS
1996
IEEE
15 years 1 months ago
Parallel Algorithms for Image Enhancement and Segmentation by Region Growing with an Experimental Study
This paper presents e cient and portable implementations of a useful image enhancement process, the Symmetric Neighborhood Filter SNF, and an image segmentation technique which ma...
David A. Bader, Joseph JáJá, David H...