KDEVIR at ImageCLEF 2015 Scalable Image Annotation, Localization, and Sentence Generation task: Ontology based Multi-label Image Annotation.
Zia Ullah, Masaki Aono · CLEF (Working Notes) · 2015
In this paper, we describe our participation in the Image- CLEF 2015 Scalable Concept Image Annotation task. In this participa- tion, we propose an approach of image annotation by using ontology at several steps of supervised learning with noisy unlabeled data. In this regard, we construct tree-like ontology for each annotating concept of images using WordNet and Wikipedia. The constructed ontologies are exploited throughout the proposed framework including several phases of training and testing of one-vs-all SVM classiers. Several classiers are trained on local or global visual features separately and results are ensemble using the classiers' probability scores. The result turns out that our system achieves an average performance in this task.