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MMDB
2004
ACM
148views Multimedia» more  MMDB 2004»
15 years 10 months ago
A unified framework for image database clustering and content-based retrieval
With the proliferation of image data, the need to search and retrieve images efficiently and accurately from a large image database or a collection of image databases has drastica...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui ...
CVPR
2009
IEEE
2160views Computer Vision» more  CVPR 2009»
16 years 11 months ago
Image Deblurring and Denoising using Color Priors
Image blur and noise are difficult to avoid in many situations and can often ruin a photograph. We present a novel image deconvolution algorithm that deblurs and denoises an ima...
C. Lawrence Zitnick, David J. Kriegman, Neel Joshi...
ICIP
2008
IEEE
16 years 6 months ago
A perceptually adaptive approach to image denoising using anisotropic non-local means
This paper introduces a novel perceptually adaptive approach to image denoising using anisotropic non-local means. In the classical non-local means image denoising approach, the v...
Alexander Wong, Paul W. Fieguth, David A. Clausi
ICDE
2000
IEEE
189views Database» more  ICDE 2000»
16 years 5 months ago
Image Database Retrieval with Multiple-Instance Learning Techniques
In this paper, we develop and test an approach to retrieving images from an image database based on content similarity. First, each picture is divided into many overlapping region...
Cheng Yang, Tomás Lozano-Pérez
WWW
2009
ACM
16 years 5 months ago
What's up CAPTCHA?: a CAPTCHA based on image orientation
We present a new CAPTCHA which is based on identifying an image's upright orientation. This task requires analysis of the often complex contents of an image, a task which hum...
Rich Gossweiler, Maryam Kamvar, Shumeet Baluja