论文信息 - SZTAKI @ ImageCLEF 2008: Visual Concept Detection

SZTAKI @ ImageCLEF 2008: Visual Concept Detection

We describe our approach to the ImageCLEF-VisualConcept 2008 task. Our method is based on image segmentation, using a feature vector describing the visual content of image segments or the entire image. Logistic regression was used for classi cation. Images were segmented by a home developed segmenter. While in this preliminary report classi cation by global image features performed best, preliminary results suggest the importance of segmentation for certain classes. We are planning to provide improved analysis in the near future.

Zsolt Fekete | Mátyás Brendel | Bálint Daróczy

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