Cluster-based photo browsing and tagging on the go

  • Authors:

  • Symeon Papadopoulos;Juxhin Bakalli;Yiannis Kompatsiaris;Emmanouil Schinas

  • Affiliations:

  • Informatics and Telematics Institute, CERTH-ITI, Thessaloniki, Greece;Informatics and Telematics Institute, CERTH-ITI, Thessaloniki, Greece;Informatics and Telematics Institute, CERTH-ITI, Thessaloniki, Greece;Informatics and Telematics Institute, CERTH-ITI, Thessaloniki, Greece

  • Venue:
  • Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
  • Year:
  • 2012

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Abstract

We present a technical demonstration of a novel smartphone application that enables efficient browsing and tagging of landmark and event photos. The application employs a hierarchical mode of exploration enabling zooming from the level of a city, through the level of an area/neighbourhood, down to the level of a specific spot. This navigation mechanism combined with photo clustering, and a dual map-list viewing mechanism, enables efficient browsing of hundreds of thousands of publicly available geotagged photos on a smartphone. Due to the large number of markers on the map, an adaptive clustering strategy is employed to reduce clutter on the screen. In addition to the advanced browsing capabilities, the application enables users to import their personal photos from Flickr and to easily annotate them by propagating to them metadata (location, tags) from the currently viewed object (area, landmark). The application currently supports more than 30 cities worldwide.