The purpose of the workshop is to discuss a methodology, mathematical and computational techniques for automation of image mining on the base of mathematical theory. Another important task of the workshop is to discuss linguistic tools for image mining - image knowledge bases and image science ontologies - and to estimate the prospects of the algebraic approach in representation of image analysis knowledge in this environment. The interpretation of mathematical and linguistic techniques will be illustrated by application problems. The workshop is organized in the framework of the 4th International Conference on Computer Vision Theory and Applications (VISAPP 2009) in cooperation with the Technical Committee No. 16

IMTA 2009

Salvetti O
2009

Abstract

The purpose of the workshop is to discuss a methodology, mathematical and computational techniques for automation of image mining on the base of mathematical theory. Another important task of the workshop is to discuss linguistic tools for image mining - image knowledge bases and image science ontologies - and to estimate the prospects of the algebraic approach in representation of image analysis knowledge in this environment. The interpretation of mathematical and linguistic techniques will be illustrated by application problems. The workshop is organized in the framework of the 4th International Conference on Computer Vision Theory and Applications (VISAPP 2009) in cooperation with the Technical Committee No. 16
2009
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Database Management
Image Processing and Computer Vision
Life and Medical Sciences
Image Mining
Ontologies
Semantic Annotation
Computer Vision
Image Analysis
Pattern Recognition
Artificial Intellicence
Image Indexing
File in questo prodotto:
File Dimensione Formato  
prod_161147-doc_129864.pdf

non disponibili

Descrizione: IMTA 2009
Tipologia: Versione Editoriale (PDF)
Dimensione 757.7 kB
Formato Adobe PDF
757.7 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/167684
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact