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» Statistical Shape Features in Content-Based Image Retrieval
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IIR
2010
13 years 9 months ago
Thinking of a System for Image Retrieval
Increasing applications are demanding effective and efficient support to perform retrieval in large collections of digital images. The work presented here is an early stage resear...
Giovanna Castellano, Gianluca Sforza, Maria Alessa...
SCIA
2005
Springer
117views Image Analysis» more  SCIA 2005»
14 years 1 months ago
Mapping Perceptual Texture Similarity for Image Retrieval
Images are being produced and made available in ever increasing numbers; but how can we find images "like this one" that are of interest to us? Many different systems hav...
Janet S. Payne, T. John Stonham
SMI
2003
IEEE
172views Image Analysis» more  SMI 2003»
14 years 1 months ago
Skeleton Based Shape Matching and Retrieval
In this paper, we describe a novel method for searching and comparing 3D objects. The method encodes the geometric and topological information in the form of a skeletal graph and ...
H. Sundar, Deborah Silver, Nikhil Gagvani, Sven J....
ICIP
2007
IEEE
14 years 2 months ago
Group Activity Recognition Based on ARMA Shape Sequence Modeling
In this paper, we propose a system identification approach for group activity recognition in traffic surveillance. Statistical shape theory is used to extract features, and then...
Ying Wang, Kaiqi Huang, Tieniu Tan
ICIP
2002
IEEE
14 years 9 months ago
Unsupervised image segmentation via Markov trees and complex wavelets
The goal in image segmentation is to label pixels in an image based on the properties of each pixel and its surrounding region. Recently Content-Based Image Retrieval (CBIR) has e...
Cián W. Shaffrey, Ian Jermyn, Nick G. Kings...