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» Semantic based image retrieval: a probabilistic approach
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102
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VISUAL
2000
Springer
15 years 1 months ago
Wavelet-Based Salient Points: Applications to Image Retrieval Using Color and Texture Features
In image retrieval, global features related to color or texture are commonly used to describe the image. The use of interest points in contentbased image retrieval allows image ind...
Etienne Loupias, Nicu Sebe
ICMCS
2006
IEEE
200views Multimedia» more  ICMCS 2006»
15 years 4 months ago
Automatic Medical Image Annotation and Retrieval using SEMI-SECC
The demand for automatically annotating and retrieving medical images is growing faster than ever. In this paper, we present a novel medical image retrieval method based on SEMIsu...
Jian Yao, Zhongfei (Mark) Zhang, Sameer Antani, L....
DLOG
2009
14 years 8 months ago
On Correspondences between Probabilistic First-Order and Description Logics
Abstract This paper analyzes the probabilistic description logic PSHIQ by looking at it as a fragment of probabilistic first-order logic with semantics based on possible worlds. We...
Pavel Klinov, Bijan Parsia, Ulrike Sattler
94
Voted
JAIR
2002
101views more  JAIR 2002»
14 years 9 months ago
Structured Knowledge Representation for Image Retrieval
We propose a structured approach to the problem of retrieval of images by content and present a description logic that has been devised for the semantic indexing and retrieval of ...
Eugenio Di Sciascio, Francesco M. Donini, Marina M...
98
Voted
ICIP
2000
IEEE
15 years 11 months ago
Incorporate Support Vector Machines to Content-Based Image Retrieval with Relevant Feedback
By using relevance feedback [6], Content-Based Image Retrieval (CBIR) allows the user to retrieve images interactively. The user can select the most relevant images and provide a ...
Pengyu Hong, Qi Tian, Thomas S. Huang