Browsing Large Collections of Geo-Tagged Pictures
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Transcript of Browsing Large Collections of Geo-Tagged Pictures
Browsing large collections of Browsing large collections of geo-tagged imagesgeo-tagged images
Davide CarboniValentina MarottoPietro Zanarini
TOC
Geo-referenced dataGeo-tagged imagesVisualization of geo-tagged imagesComparison between 3 appsConclusions
Geo-reference
Association between a piece of information and a placeGeo-referenced information is a large part of whole on line informationGeo-reference can be explicit (geo-tagging) or implicitGeo-reference can be at different levels (country, city, street, lat. and lon.)
“places” are everywhere
Extracting “where” from web pages
the extraction of geographic terms from structured and, more challengingly, unstructured data;the identification and removal of ambiguities in such extraction procedures;Paris Hilton ambiguity
Explicit geo-referenceInformation is manually or automatically tagged with geographical data at the moment information is produced or published
Lat Lon in Exif
The growth of geo-tagged images
2003 2004 2005 2006 2007 2008 20091,00E+03
1,00E+04
1,00E+05
1,00E+06
1,00E+07
1,00E+08
geotagged images on Flickr
Summaries and Visualization
Summarization
How to summarize a region with a single picture?
Summarization
Difficult taskImage analysis alone is poor at capturing semantic
concepts of an imageIn multi user sets the popularity is used but the bias
introduced by few photographers can induce to overestimate the importance of some objects
Summarization
Conceptual framework1:A real point-of-interest is a point of accumulation for
several photosA real point-of interest is of interest for many
photographers and not only for fewTextual tags if rarely found elsewhere are likely a
symptom of some peculiarity of a place
1) Alexander Jaffe et al. Generating Summaries for Large Collections of Geo-Referenced Photographs
Panoramio
Panoramio
Micro thumbnail
Link ??
Google Maps
Still Panoramio
Flickr
Fractal View
Fractal View
The test
Panoramio Vs. Flickr Maps Vs. Fractal ViewTest the usabilityTest by interviews and eye-trackingTask: find 10 POI to collect in a favorite listNumber of Testers=10
1/length
3 different ways
Panoramio: gaze continuously moves from map controls to thumbnails and vice versa
Flickr: select a cluster and then browse (loosing geographical details)
Fractal View: select a bounding box and browse, pictures are tiled with geographical constraints and move picture-by-picture
Conclusion
Geo-tagged items are growing with exponential pace
Summarizing and visualizing large collections of geo-tagged objects is an open issue.
Mobile devices equipped with GPS and compass are a test bench for new interaction design solutions
Acknowledgement
Work part of Geoweb & Mobile LabCRS4, in collaboration withDistrICT, UniCA, UniSS, Sardegna Ricerche