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Leveraging Ontologies, Context and Social Networks to Automate Photo Annotation

ARAN - Access to Research at NUI Galway

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dc.contributor.author Monaghan, Fergal en
dc.contributor.author O'Sullivan, David en
dc.date.accessioned 2009-11-27T11:35:52Z en
dc.date.available 2009-11-27T11:35:52Z en
dc.date.issued 2007 en
dc.identifier.citation Fergal Monaghan, David O'Sullivan "Leveraging Ontologies, Context and Social Networks to Automate Photo Annotation", Proceedings of the 2nd International Conference on Semantics and Digital Media Technologies (SAMT 2007), 2007. en
dc.identifier.uri http://hdl.handle.net/10379/418 en
dc.description.abstract This paper presents an approach to semi-automate photo an- notation. Instead of using content-recognition techniques this approach leverages context information available at the scene of the photo such as time and location in combination with existing photo annotations to provide suggestions to the user. An algorithm exploits a number of technologies including Global Positioning System (GPS), Semantic Web, Web services and Online Social Networks, considering all information and making a best-effort attempt to suggest both people and places depicted in the photo. The user then selects which of the suggestions are correct to annotate the photo. This process accelerates the photo annotation process dramatically which in turn aids photo search for a wide range of query tools that currently trawl the millions of photos on the Web. en
dc.format application/pdf en
dc.language.iso en en
dc.publisher Springer en
dc.subject Photo annotation en
dc.subject Context-aware en
dc.subject Semantic web en
dc.subject.lcsh Social networks en
dc.subject.lcsh Semantic web en
dc.subject.lcsh Ontology en
dc.title Leveraging Ontologies, Context and Social Networks to Automate Photo Annotation en
dc.type Conference paper en
dc.identifier.doi 10.1007/978-3-540-77051-0 en
dc.local.publishedsource http://dx.doi.org/10.1007/978-3-540-77051-0 en
dc.local.publisherstatement The original publication is available at www.springerlink.com en
dc.description.peer-reviewed peer-reviewed en
dc.contributor.funder Science Foundation Ireland en

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