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» Semantic image segmentation using morphological tools
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SIGIR
2003
ACM
15 years 5 months ago
Image classification using hybrid neural networks
Use of semantic content is one of the major issues which needs to be addressed for improving image retrieval effectiveness. We present a new approach to classify images based on t...
Chih-Fong Tsai, Kenneth McGarry, John Tait
CIVR
2009
Springer
221views Image Analysis» more  CIVR 2009»
15 years 6 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...
DGCI
2005
Springer
15 years 5 months ago
Algorithms for the Topological Watershed
The watershed transformation is an efficient tool for segmenting grayscale images. An original approach to the watershed [1,9] consists in modifying the original image by lowering...
Michel Couprie, Laurent Najman, Gilles Bertrand
LREC
2010
151views Education» more  LREC 2010»
15 years 1 months ago
FastKwic, an "Intelligent" Concordancer Using FASTR
In this paper, we introduce the FastKwic (Key Word In Context using FASTR), a new concordancer for French and English that does not require users to learn any particular request l...
Véronika Lux-Pogodalla, Dominique Besagni, ...
ICIP
2006
IEEE
16 years 1 months ago
Unsupervised Image Layout Extraction
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
David Liu, Datong Chen, Tsuhan Chen