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» Statistical Shape Features in Content-Based Image Retrieval
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CLEF
2004
Springer
14 years 1 months ago
Content-Based Queries on the CasImage Database Within the IRMA Framework
Abstract. Recent research has suggested that there is no general similarity measure, which can be applied on arbitrary databases without any parameterization. Hence, the optimal co...
Christian Thies, Mark Oliver Güld, Benedikt F...
3DPVT
2006
IEEE
258views Visualization» more  3DPVT 2006»
14 years 2 months ago
3D Content-Based Search Based on 3D Krawtchouk Moments
In this paper a novel method for 3D content-based search and retrieval is proposed. Guided by the imperative need for a reliable 3D content based search tool and the very interest...
Athanasios Mademlis, Apostolos Axenopoulos, Petros...
DANTE
1999
IEEE
144views Database» more  DANTE 1999»
14 years 10 days ago
Issues in Using Specifications to Improve Content-Based Search of Multimedia Data
Many current multimedia database management systems perform content-based retrieval of images by extracting the values of various features from every object stored in their system...
Leonard Brown, Le Gruenwald, Gregory D. Speegle
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
2010
Springer
143views Multimedia» more  PCM 2010»
13 years 6 months ago
Robust Shape Retrieval through a Novel Statistical Descriptor
We propose a novel statistical descriptor, Multiple References Histogram Matrix (MRHM), for robust shape retrieval, especially for degraded shape images. For each shape image, MRHM...
Tuantuan Wang, Tong Lu, Wenyin Liu