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» Statistical Shape Features in Content-Based Image Retrieval
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ICIP
2005
IEEE
14 years 1 months ago
Using Tsallis entropy into a Bayesian network for CBIR
This paper presents a Bayesian Network model for ContentBased Image Retrieval (CBIR). In the explanation and test of this work, only two images features (semantic evidences) are i...
Paulo S. Rodrigues, Gilson A. Giraldi, Ade A. Arau...
CVPR
2007
IEEE
14 years 2 months ago
Content-Based Image Annotation Refinement
Automatic image annotation has been an active research topic due to its great importance in image retrieval and management. However, results of the state-of-the-art image annotati...
Changhu Wang, Feng Jing, Lei Zhang, Hong-Jiang Zha...
SMI
2006
IEEE
168views Image Analysis» more  SMI 2006»
14 years 2 months ago
Spherical Wavelet Descriptors for Content-based 3D Model Retrieval
The description of 3D shapes with features that possess descriptive power and invariant under similarity transformations is one of the most challenging issues in content based 3D ...
Hamid Laga, Hiroki Takahashi, Masayuki Nakajima
ISCIS
2009
Springer
14 years 2 months ago
Dynamic feature weights with relevance feedback in content-based image retrieval
— In this paper, we present a novel relevance feedback method for Content-Based Image Retrieval systems based on dynamic feature weights. The proposed method utilizes intracluste...
Esin Guldogan, Moncef Gabbouj
ICPR
2000
IEEE
14 years 9 months ago
Content-Based Watermarking Model
In this paper, we propose a new general additive watermarking model based on the content of digital images, called as CBWM (Content-Based Watermarking Model). It provides a common...
Ruizhen Liu, Tieniu Tan