A multimedia IR-based system for the Photo Annotation Task at ImageCLEF2013
Xaro Benavent, Ángel Castellanos, Esther de Ves, David Hernández-Aranda, Rubén Granados, Ana M. García-Serrano · 2013
Abstract. The UNED-UV group at the ImageCLEF2013 Campaign have par-ticipated in the Scalable Concept Image Annotation subtask. We present a mul-timedia IR-based system for the annotation task. In this collection, the images do not have any textual description associated, so we have downloaded and pre-processed the web pages which contain the images. Regarding the concepts, we expanded their textual description with additional information from external re-sources as Wikipedia or WordNet and we generate a KLD concept model using recovered textual information. The multimedia IR-based system uses a logistic relevance algorithm to get a model for each of the concepts to be trained using visual image features. Finally, the fusion subsystem merges textual and visual scores for a certain image to belong a concept, and decides the presence of the concept in the images.