Comments Off on Video Annotation and Retrieval Using Ontologies and Rule Learning

By lambertoballan, November 28, 2009

Our paper on “Video Annotation and Retrieval Using Ontologies and Rule Learning” was accepted for publication by the International IEEE MultiMedia Magazine.

In this paper we present an approach for automatic annotation and retrieval of video content, based on ontologies and semantic concept classifiers. A novel rule-based method is used to describe and recognize composite concepts and events. Our algorithm learns automatically rules expressed in Semantic Web Rules Language (SWRL), exploiting the knowledge embedded into the ontology. Concepts’ relationship of co-occurrence and the temporal consistency of video data are used to improve the performance of individual concept detectors. Finally, we present a web video search engine, based on ontologies, that permits queries using a composition of boolean and temporal relations between concepts.

Comments Off on Semantic annotation of soccer videos by visual instance clustering and spatial/temporal reasoning in ontologies

By lambertoballan, August 16, 2009

Our paper on “Semantic annotation of soccer videos by visual instance clustering and spatial/temporal reasoning in ontologies” was accepted for publication by Springer International Journal on Multimedia Tools and Applications (MTAP).

In this paper we present a framework for semantic annotation of soccer videos that exploits an ontology model referred to as Dynamic Pictorially Enriched Ontology, where the ontology, defined using OWL, includes both schema and data. Visual instances are used as matching references for the visual descriptors of the entities to be annotated. The paper is available online now and it is also available on SpringerLink in the “Online First” section (DOI).