We present a method combining semantic inferencing and visual analysis for finding automatically media (photos and videos) illustrating events. We report on experiments validating our heuristic for mining media sharing platforms and large event directories in order to mutually enrich the descriptions of the content they host. Our overall goal is to design a web-based environment that allows users to explore and select events, to inspect associated media, and to discover meaningful, surprising or entertaining connections between events, media and people participating in events. We present a large dataset composed of semantic descriptions of events, photos and videos interlinked with the larger Linked Open Data cloud and we show the benefits of using semantic web technologies for integrating multimedia metadata.
In REF , Liu et al. present a method combining semantic inferencing and visual analysis for automatically finding photos and videos illustrating events with the overall objective being the creation of a Web-based environment that allows users to explore and select events and associated media, and to discover connections between events, media, and people participating in events.
Finding media illustrating events
ICMR '11
Computer Science