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Ralf Klamma , Marc Spaniol  Mathias Lux RWTH Aachen University  University of Klagenfurt http://www.multimedia-metadata.info I-Media 2007 Graz, September 7, 2007 ImageSemantics  :  User-Generated Metadata,  Content-Based Retrieval & Beyond
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Flickr.com  ,[object Object],[object Object],Tags: gardenia, green Very dífferent results
Caliph & Emir ,[object Object],[object Object],Visualization of  low-level features Not very similar
Web 2.0 Image Mining: ImageSemantics ,[object Object]
Problem Definition (Image Mining) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Multimedia semantics as rule-based system }
Requirements ,[object Object],[object Object],[object Object],[object Object]
State-of-the-Art ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Rule Component Data Management  Maschine Learning OWL Representation XML Database Reasoner Testing
MPEG-7 Feature Descriptors ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Rule Extraction Algorithm Clustering for  low-level features Training data Sub rule extraction for  low-level features Clustering for tags in the  low-level cluster Sub rule extraction for tags Complete rule extraction
OWL Rule Representation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],0 100
OWL Representation of Rules ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],centroid Low-level Cluster max. Distance min. Distance
OWL Representation of Rules ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Lowlevel_A_TagContent_Cluster
Representation of Rules in  First Order Logic ,[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusions & Outlook ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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ImageSemantics : User-Generated Metadata, Content-Based Retrieval & Beyond

  • 1. Ralf Klamma , Marc Spaniol Mathias Lux RWTH Aachen University University of Klagenfurt http://www.multimedia-metadata.info I-Media 2007 Graz, September 7, 2007 ImageSemantics : User-Generated Metadata, Content-Based Retrieval & Beyond
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9. Rule Component Data Management Maschine Learning OWL Representation XML Database Reasoner Testing
  • 10.
  • 11. Rule Extraction Algorithm Clustering for low-level features Training data Sub rule extraction for low-level features Clustering for tags in the low-level cluster Sub rule extraction for tags Complete rule extraction
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.

Notas do Editor

  1. ,