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» Image quantization under spatial smoothness constraints
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ICIP
1999
IEEE
13 years 9 months ago
Dense Motion Fields for Digital Video Processing and Compression
This paper presents novel algorithms that perform motion estimation for video processing and compression. We observe that "smoothness" is a very important and intuitive ...
Shunan Lin, Onur G. Guleryuz
ICMLA
2008
13 years 6 months ago
Probabilistic Exploitation of the Lucas and Kanade Smoothness Constraint
The basic idea of Lucas and Kanade is to constrain the local motion measurement by assuming a constant velocity within a spatial neighborhood. We reformulate this spatial constrai...
Volker Willert, Julian Eggert, Marc Toussaint, Edg...
ICIP
2010
IEEE
13 years 2 months ago
Improving histology images segmentation through spatial constraints and supervision
We introduce two approaches to improve an existing color segmentation technique based on a Split and Merge quantization process for the study of stained histological images. We pr...
Nicolas Hervé, Aude Servais, Eric Thervet, ...
ICTAI
2007
IEEE
13 years 11 months ago
Curve Clustering with Spatial Constraints for Analysis of Spatiotemporal Data
In this paper we present a new approach for curve clustering designed for analysis of spatiotemporal data. Such kind of data contains both spatial and temporal patterns that we de...
Konstantinos Blekas, Christophoros Nikou, Nikolas ...
ICIP
2004
IEEE
14 years 6 months ago
Multidimensional signal compression using multi-scale recurrent patterns with smooth side-match criterion
The recently proposed method for image compression based on multi-scale recurrent patterns, the MMP (Multidimensional Multiscale Parser) has been shown to perform well for a large...
Eddie B. L. Filho, Murilo B. de Carvalho, Eduardo ...