Placing user-generated photo metadata on a map

Spyrou, E; Mylonas, P

dc.contributor.author	Spyrou, E	en
dc.contributor.author	Mylonas, P	en
dc.date.accessioned	2014-03-01T02:53:25Z
dc.date.available	2014-03-01T02:53:25Z
dc.date.issued	2011	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36308
dc.subject	flickr	en
dc.subject	geo-clustering	en
dc.subject	geo-tag	en
dc.subject	tag selection	en
dc.subject.other	Area of interest	en
dc.subject.other	Fixed size	en
dc.subject.other	flickr	en
dc.subject.other	geo-clustering	en
dc.subject.other	geo-tag	en
dc.subject.other	Geographical area	en
dc.subject.other	Photo collections	en
dc.subject.other	tag selection	en
dc.subject.other	Textual metadata	en
dc.subject.other	Semantics	en
dc.subject.other	Metadata	en
dc.title	Placing user-generated photo metadata on a map	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/SMAP.2011.16	en
heal.identifier.secondary	http://dx.doi.org/10.1109/SMAP.2011.16	en
heal.identifier.secondary	6103507	en
heal.publicationDate	2011	en
heal.abstract	In this paper we analyze large user photo collections from Flickr in order to select the most appropriate tags to describe a geographical area. We cluster photos based on their latitude and longitude and divide large areas into smaller clusters, which we will refer to as ""geo-clusters"". Geo-clusters have a fixed size and are able to overlap. They do not cover the entire area of interest, omitting parts where no single photo has been geo-tagged at. Within each geo-cluster we analyze all collected textual metadata i.e. the user selected tags of the photos it contains. We are then able to rank them and select the most appropriate that are able to describe landmarks and other places of interest that are contained within. Finally we place these tags on a map to help users to intuitively understand places of interest/visual content at a glance. © 2011 IEEE.	en
heal.journalName	Proceedings - 2011 6th International Workshop on Semantic Media Adaptation and Personalization, SMAP 2011	en
dc.identifier.doi	10.1109/SMAP.2011.16	en
dc.identifier.spage	79	en
dc.identifier.epage	84	en