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» Shape Description for Content-Based Image Retrieval
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ICIP
2002
IEEE
14 years 9 months ago
Content-based image retrieval using stochastic paintbrush transformation
Herein, we propose a new content based image retrieval method. The novelty of our approach lies in the applied image similarity measure : Unlike traditional features like color, t...
Zoltan Kato, Xiaowen Ji, Tamas Sziranyi, Zoltan To...
PCM
2004
Springer
107views Multimedia» more  PCM 2004»
14 years 28 days ago
Complete Performance Graphs in Probabilistic Information Retrieval
The performance of a Content-Based Image Retrieval (CBIR) system presented in the form of Precision-Recall or PrecisionScope graphs offers an incomplete overview of the system und...
Nicu Sebe, Dionysius P. Huijsmans, Qi Tian, Theo G...
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...
ICIP
2007
IEEE
14 years 9 months ago
A New Descriptor for 2D Depth Image Indexing and 3D Model Retrieval
We present here a new descriptor for depth images adapted to 2D/3D model matching and retrieving. We propose a representation of a 3D model by 20 depth images rendered from the ve...
Mohamed Chaouch, Anne Verroust-Blondet
ICMCS
1999
IEEE
119views Multimedia» more  ICMCS 1999»
13 years 12 months ago
Indexing by Shape of Image Databases Based on Extended Grid Files
In this paper, we propose an original indexing by shape of image databases based on extended grid files. We first introduce a recently developed shape description method and tailo...
Carlo Combi, Gian Luca Foresti, Massimo Francesche...