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First NOBLESSE Workshop on Nonlinear Methods in ModelBased Image Interpretation, Lausanne, Switzerland, September 1996 USING INVARIANT FEATURES FOR CONTENT BASED DATA
 

Summary: First NOBLESSE Workshop on Nonlinear Methods in Model­Based Image Interpretation, Lausanne, Switzerland, September 1996
USING INVARIANT FEATURES FOR CONTENT BASED DATA
RETRIEVAL
H. Schulz­Mirbach, H. Burkhardt, S. Siggelkow
Technische Universit¨at Hamburg­Harburg
Technische Informatik I
21071 Hamburg, Germany
ABSTRACT
The paper discusses a region based approach for con­
tent based image retrieval. Due to the explosive growth
of image databases there is a great need for new meth­
ods to handle large amount of data efficiently. Besides
manual image annotation automatic feature extraction
is necessary. It is desirable not only to compare whole
images but also look up single objects in an image
database.
1. INTRODUCTION
Due to the explosive growth of the World Wide Web
and computer networks in general there is an increasing
demand for effective methods to search large heteroge­

  

Source: Albert-Ludwigs-Universität Freiburg, Institut für Informatik,, Lehrstuhls für Mustererkennung und Bildverarbeitung

 

Collections: Computer Technologies and Information Sciences