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142
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ICPR
2000
IEEE
16 years 5 months ago
Image Distance Using Hidden Markov Models
We describe a method for learning statistical models of images using a second-order hidden Markov mesh model. First, an image can be segmented in a way that best matches its stati...
Daniel DeMenthon, David S. Doermann, Marc Vuilleum...
MMM
2009
Springer
93views Multimedia» more  MMM 2009»
16 years 1 months ago
SenseCam Image Localisation Using Hierarchical SURF Trees
The SenseCam is a wearable camera that automatically takes photos of the wearer’s activities, generating thousands of images per day. Automatically organising these images for e...
Ciarán O. Conaire, Michael Blighe, Noel E. ...
172
Voted
ICMCS
2008
IEEE
245views Multimedia» more  ICMCS 2008»
15 years 11 months ago
A novel local feature descriptor for image matching
Image matching is a fundamental task of many problems in computer vision. This paper presents a novel local feature descriptor based on the gradient distance and orientation histo...
Heng Yang, Qing Wang
164
Voted
ICMCS
2006
IEEE
174views Multimedia» more  ICMCS 2006»
15 years 10 months ago
Web Image Mining Based on Modeling Concept-Sensitive Salient Regions
In this paper, we propose a probabilistic model for web image mining, which is based on concept-sensitive salient regions without human intervene. Our goal is to achieve a middle-...
Jing Liu, Qingshan Liu, Jinqiao Wang, Hanqing Lu, ...
MM
2006
ACM
124views Multimedia» more  MM 2006»
15 years 10 months ago
Blazingly fast image copyright enforcement
Many photo agencies use the web to sell access to their image collections. Despite significant security measures, images may be stolen and distributed, making it necessary to det...
Herwig Lejsek, Friðrik Heiðar Ásmun...