Context-Based Event Ontology Extension in Multimedia Applications

An approach focused on inferring the finest possible sub event witnessed by individual photographs in a personal photo stream of an event is presented in this work using image metadata (timestamp, location, and camera parameters), information about the user, ontological event model, mobile device connectivity, web services, and external data sources. We introduce Event Ontology Augmentation that is a new technique to obtain, refine, and validate expressive event tags in the context of personal photo annotation. In this technique, an ontological event model is used to describe the vocabulary for a general domain event such as trip. The event-ontology is extended with context-information from heterogeneous data sources. We introduce plausibility measure for ranking and selecting the best possible sub event category related to a group of photos in a photo stream.