Combining segmentation and classification techniques for fuzzy knowledge-based semantic image annotation

Papadopoulos, Georgios Th;Athanasiadis, Thanos;Simou, Nikolaos;Benmokhtar, Rachid;Chandramouli, Krishna;Tzouvaras, Vassilis;Mezaris, Vasileios;Phiniketos, Marios;Avrithis, Yannis;Kompatsiaris, Ioannis
SAMT 2008, 3rd International Conference on Semantic and Digital Media Technologies, December 3-5, 2008, Koblenz, Germany

 

 

 

 

In this demo, a system for the semantic annotation of images is presented. The proposed knowledge-assisted analysis architecture comprises algorithms that perform semantic image segmentation, region-level classification and fuzzyreasoning; hence, it constitutes a complete solution to the problem of image annotation based on semantic criteria.


Type:
Conference
City:
Koblenz
Date:
2008-12-03
Department:
Data Science
Eurecom Ref:
2679
Copyright:
© ACM, 2008. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in SAMT 2008, 3rd International Conference on Semantic and Digital Media Technologies, December 3-5, 2008, Koblenz, Germany

PERMALINK : https://www.eurecom.fr/publication/2679