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IJPRAI
2010
105views more  IJPRAI 2010»
15 years 7 days ago
An Ontology-Based Model for Representing Image Processing Application Objectives
This paper investigates what kinds of information are necessary and sufficient to design and evaluate image processing software programs and proposes a representation of these inf...
Régis Clouard, Arnaud Renouf, Marinette Rev...
ICIP
2009
IEEE
15 years 22 days ago
A compressive-sensing based watermarking scheme for sparse image tampering identification
In this paper we describe a robust watermarking scheme for image tampering identification and localization. A compact representation of the image is first produced by assembling a...
Giuseppe Valenzise, Marco Tagliasacchi, Stefano Tu...
BMVC
2010
15 years 1 months ago
Insect Species Recognition using Sparse Representation
Insect species recognition is a typical application of image categorization and object recognition. Unlike generic image categorization datasets (such as the Caltech 101 dataset) ...
An Lu, Xin Hou, Chen Lin, Cheng-Lin Liu
CVPR
2012
IEEE
13 years 5 months ago
Structured Local Predictors for image labelling
In this paper we introduce Structured Local Predictors (SLP) – A new formulation that considers the image labelling problem from a structured learning point of view. SLP are loc...
Samuel Rota Bulò, Peter Kontschieder, Marce...
CVPR
2008
IEEE
16 years 5 months ago
Nonlinear image representation using divisive normalization
In this paper, we describe a nonlinear image representation based on divisive normalization that is designed to match the statistical properties of photographic images, as well as...
Siwei Lyu, Eero P. Simoncelli