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» Shape Description for Content-Based Image Retrieval
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ICTAI
2002
IEEE
14 years 15 days ago
A Clustering Based Approach to Efficient Image Retrieval
This paper addresses the issue of effective and efficient content based image retrieval by presenting a novel indexing and retrieval methodology that integrates color, texture, an...
Ruofei Zhang, Zhongfei Zhang
ISBI
2009
IEEE
14 years 2 months ago
Bridging the Semantic Gap Using Ranking Svm for Image Retrieval
One of the main challenges for Content-Based Image Retrieval (CBIR) is to achieve meaningful mappings between the high-level semantic concepts and the low-level visual features in...
Haiying Guan, Sameer Antani, L. Rodney Long, Georg...
PRL
2006
117views more  PRL 2006»
13 years 7 months ago
Multiscale Fourier descriptors for defect image retrieval
Shape is an essential visual feature of an image and it is widely used to describe image content in image classification and retrieval. In this paper, two new Fourier-based approa...
Iivari Kunttu, Leena Lepistö, Juhani Rauhamaa...
ICIAP
2007
ACM
14 years 1 months ago
k-dimensional Size Functions for Shape Description and Comparison
This paper advises the use of k-dimensional size functions for comparison and retrieval in the context of multidimensional shapes, where by shape we mean something in two or highe...
Andrea Cerri, Silvia Biasotti, Daniela Giorgi
CIMCA
2008
IEEE
14 years 2 months ago
The Inner Structure of Database for the CBIR System
In this article we focus on the presentation of the inner structure of the database for the Content-Based Image Retrieval (CBIR) system containing house images. The part devoted t...
Tatiana Jaworska