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115
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ICIP
2005
IEEE
16 years 5 months ago
Segmenting non stationary images with triplet Markov fields
The hidden Markov field (HMF) model has been used in many model-based solutions to image analysis problems, including that of image segmentation, and generally gives satisfying re...
Dalila Benboudjema, Wojciech Pieczynski
98
Voted
WWW
2007
ACM
16 years 4 months ago
Image collector III: a web image-gathering system with bag-of-keypoints
We propose a new system to mine visual knowledge on the Web. There are huge image data as well as text data on the Web. However, mining image data from the Web is paid less attent...
Keiji Yanai
ICPR
2008
IEEE
15 years 10 months ago
A probabilistic model for classifying segmented images
In this work we introduce a probabilistic model for classifying segmented images. The proposed classifier is very general and it can deal both with images that were segmented wit...
Liang Wu, Predrag Neskovic, Leon N. Cooper
135
Voted
ICMCS
2006
IEEE
107views Multimedia» more  ICMCS 2006»
15 years 9 months ago
A Flexible Content-Based Approach to Adaptive Image Compression
Recent research in image compression has focused on lossy compression algorithms. However, the baseline implementations of such algorithms generally use a universal quantization p...
Alexander Wong, William Bishop
ICMCS
2005
IEEE
107views Multimedia» more  ICMCS 2005»
15 years 9 months ago
Evaluating keypoint methods for content-based copyright protection of digital images
This paper evaluates the effectiveness of keypoint methods for content-based protection of digital images. These methods identify a set of “distinctive” regions (termed keypoi...
Larry Huston, Rahul Sukthankar, Yan Ke