Advertisement
Published in:
2009 | OriginalPaper | Chapter
SZTAKI @ ImageCLEF 2008: Visual Feature Analysis in Segmented Images
Authors : Bálint Daróczy, Zsolt Fekete, Mátyás Brendel, Simon Rácz, András Benczúr, Dávid Siklósi, Attila Pereszlényi
Published in: Evaluating Systems for Multilingual and Multimodal Information Access
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
We describe our image processing system used in the ImageCLEF 2008 Photo Retrieval and Visual Concept Detection tasks. Our method consists of image segmentation followed by feature generation over the segments based on color, shape and texture. In the paper we elaborate on the importance of choices in the segmentation procedure with emphasis on edge detection. We also measure the relative importance of the visual features as well as the right choice of the distance function. Finally, given a very large number of parameters in our image processing system, we give a method for parameter optimization by measuring how well the similarity measures separate sample images of the same topic from those of different topics.