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» Low-Level Image Segmentation Based Scene Classification
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ACIVS
2010
Springer
13 years 5 months ago
Watershed Based Document Image Analysis
Document image analysis is used to segment and classify regions of a document image into categories such as text, graphic and background. In this paper we first review existing doc...
Pasha Shadkami, Nicolas Bonnier
ICIP
2010
IEEE
13 years 5 months ago
Monocular Extraction of 2.1D Sketch
The 2.1D sketch is a layered representation of occluding and occluded surfaces of the scene. Extracting the 2.1D sketch from a single image is a difficult and important problem ar...
Mohamed Amer, Raviv Raich, Sinisa Todorovic
CIVR
2009
Springer
221views Image Analysis» more  CIVR 2009»
14 years 2 months ago
Movie segmentation into scenes and chapters using locally weighted bag of visual words
Movies segmentation into semantically correlated units is a quite tedious task due to ”semantic gap”. Low-level features do not provide useful information about the semantical...
Vasileios Chasanis, Argyris Kalogeratos, Aristidis...
ISBI
2011
IEEE
12 years 11 months ago
Group sparsity based classification for cervigram segmentation
This paper presents an algorithm to classify pixels in uterine cervix images into two classes, namely normal and abnormal tissues, and simultaneously select relevant features, usi...
Yang Yu, Junzhou Huang, Shaoting Zhang, Christophe...
ICCV
1999
IEEE
14 years 9 months ago
An Integrated Bayesian Approach to Layer Extraction from Image Sequences
This paper describes a Bayesian approach for modeling 3D scenes as a collection of approximately planar layers that are arbitrarily positioned and oriented in the scene. In contra...
Philip H. S. Torr, Richard Szeliski, P. Anandan