https://www.bibsonomy.org/user/fermon/automaticBibSonomy RSS Feed for /user/fermon/automaticAn approach focussed on resolving identity of subjects in a photo using mobile device connectivity, Web services and social network ontologies is presented in this paper. A framework is described in which mobile device sensors, Web services and ontologies are combined to provide meaningful photo annotation metadata that can be used to recall photos from the Web. Useful metadata can be gleaned from the environment at the time of capture and further information inferred from available Web services.http://ieeexplore.ieee.org/iel5/10853/34194/01630615.pdf?tp=&arnumber=1630615&isnumber=34194fermon2008-01-30T13:04:43+01:00annotation automatic ontology photo services <span itemprop="description">An approach focussed on resolving identity of subjects in a photo using mobile device connectivity, Web services and social network ontologies is presented in this paper. A framework is described in which mobile device sensors, Web services and ontologies are combined to provide meaningful photo annotation metadata that can be used to recall photos from the Web. Useful metadata can be gleaned from the environment at the time of capture and further information inferred from available Web services.</span>This paper presents an approach to semi-automate photo annotation. 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-eort 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.http://sw.deri.org/~ferg/publications/SAMT2007.pdffermon2008-01-30T12:55:06+01:00ACRONYM annotation automatic context networks ontology photo social <span itemprop="description">This paper presents an approach to semi-automate photo annotation. 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-eort 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.</span>