Abstract. Our survey paper attempts to investigate how recent and undoubted emerge in enriched, geo-tagged social networks ’ multimedia content sharing works to the benefit of their users and whether it could be handled in a formal way, in order to capture the meaningful semantics rising from this newly introduced user experience. It further specializes its focus by providing an overview of current state-of-the-art techniques with respect to geo-tagged content access, processing and manipulation within the popular Flickr social network. In this manner it explores the role of information retrieval, integration and extraction from the technical point of view, coupled together with human social network ac-tivities, like, for instance, localization and recommendations based on pre-processed collaborative geo-tagged photos, resulting into more effi-cient, optimized search results.

Abstract. Current uncontrolled growth of online, digital multimedia content emphasizes research work on identifying trends on how this con-tent popularity may grow over time wrt identifiable user events and inter-ests. In this paper we analyze user-generated photos uploaded to Flickr1 in order to extract meaningful semantic trends covering specific geo-graphical areas of interest. Initially, we cluster photos based on their geo-tagging metadata information and divide large areas into smaller “first level geo-clusters ” of fixed size, allowing them to overlap if necessary. Within these first level geo-clusters, we identify semantically meaning-ful “places ” of user interest, by analyzing additional textual metadata, i.e. user selected tags that characterize each place’s photos. By post-processing them, we select the most appropriate tags that are able to describe landmarks and events occurring within these places of interest and examine their temporal dynamics over a long period of time.