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ICPR
2000
IEEE
14 years 9 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...
ICMCS
2008
IEEE
245views Multimedia» more  ICMCS 2008»
14 years 3 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
CORR
2008
Springer
109views Education» more  CORR 2008»
13 years 9 months ago
Wavelet and Curvelet Moments for Image Classification: Application to Aggregate Mixture Grading
We show the potential for classifying images of mixtures of aggregate, based themselves on varying, albeit well-defined, sizes and shapes, in order to provide a far more effective...
Fionn Murtagh, Jean-Luc Starck
ICVGIP
2004
13 years 10 months ago
Searching in Document Images
Searching in scanned documents is an important problem in Digital Libraries. If OCRs are not available, the scanned images are inaccessible. In this paper, we demonstrate a search...
C. V. Jawahar, Million Meshesha, A. Balasubramania...
ICIP
2000
IEEE
14 years 1 months ago
Partitioning of Video Objects into Temporal Segments Using Local Motion Information
In this paper we propose an algorithm to partition MPEG-4 video objects into temporal segments with uniform activity levels. These segments can be used for efficient summarization...
Berna Erol, Faouzi Kossentini