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» Semantic based image retrieval: a probabilistic approach
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JCDL
2003
ACM
195views Education» more  JCDL 2003»
15 years 3 months ago
An Application of Multiple Viewpoints to Content-Based Image Retrieval
Content-based image retrieval uses features that can be extracted from the images themselves. Using more than one representation of the images in a collection can improve the resu...
James C. French, A. C. Chapin, Worthy N. Martin
ICIP
2006
IEEE
15 years 11 months ago
Image Retrieval using Long-Term Semantic Learning
The automatic computation of features for content-based image retrieval still has difficulties to represent the concepts the user has in mind. Whenever an additional learning stra...
Matthieu Cord, Philippe Henri Gosselin
SAC
2006
ACM
15 years 4 months ago
A framework for content-based image retrieval fully exploiting the semantics of annotation
We present a framework and an application for semanticbased retrieval of images. Our approach adopts a two-level ontology structure in a subset of OWL-DL. In the core ontology onl...
Tommaso Di Noia, Eugenio Di Sciascio, Francesco di...
SSIAI
2000
IEEE
15 years 2 months ago
Lower-Level and Higher-Level Approaches to Content-Based Image Retrieval
This paper describes a content-based image retrieval system that employs both higher-level and lower-level vision methodologies separately and in conjunction for the retrieval of ...
Qasim Iqbal, Jake K. Aggarwal
ERCIMDL
2007
Springer
110views Education» more  ERCIMDL 2007»
15 years 4 months ago
Annotation-Based Document Retrieval with Probabilistic Logics
Annotations are an important part in today’s digital libraries and Web information systems as an instrument for interactive knowledge creation. Annotation-based document retrieva...
Ingo Frommholz