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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 11 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
16 years 8 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
16 years 6 days 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 10 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»
16 years 12 days 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