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Browsing large collections of
    geo-tagged images
           Davide Carboni
           Valentina Marotto
           Pietro Zanarini
TOC
Geo-referenced data
Geo-tagged images
Visualization of geo-tagged images
Comparison between 3 apps
Conclusions
Geo-reference
Association between a piece of information and a
place
Geo-referenced information is a large part of
whole on line information
Geo-reference can be explicit (geo-tagging) or
implicit
Geo-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-reference
Information 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
 1,00E+08




 1,00E+07




 1,00E+06

                                                             geotagged images
                                                             on Flickr
 1,00E+05




 1,00E+04




 1,00E+03
            2003   2004   2005   2006   2007   2008   2009
Summaries and Visualization
Summarization
How to summarize a region with a single picture?
Summarization
Difficult task
  Image analysis alone is poor at capturing semantic
    concepts of an image
  In 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 photos
  A real point-of interest is of interest for many
    photographers and not only for few
  Textual 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 View
Test the usability
Test by interviews and eye-tracking
Task: find 10 POI to collect in a favorite list
Number 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 Lab
  CRS4, in collaboration with
  DistrICT, UniCA, UniSS, Sardegna Ricerche

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Browsing Large Collections of Geo-Tagged Pictures

  • 1. Browsing large collections of geo-tagged images Davide Carboni Valentina Marotto Pietro Zanarini
  • 2. TOC Geo-referenced data Geo-tagged images Visualization of geo-tagged images Comparison between 3 apps Conclusions
  • 3. Geo-reference Association between a piece of information and a place Geo-referenced information is a large part of whole on line information Geo-reference can be explicit (geo-tagging) or implicit Geo-reference can be at different levels (country, city, street, lat. and lon.)
  • 5. 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
  • 6. Explicit geo-reference Information is manually or automatically tagged with geographical data at the moment information is produced or published
  • 7. Lat Lon in Exif
  • 8. The growth of geo-tagged images 1,00E+08 1,00E+07 1,00E+06 geotagged images on Flickr 1,00E+05 1,00E+04 1,00E+03 2003 2004 2005 2006 2007 2008 2009
  • 10. Summarization How to summarize a region with a single picture?
  • 11. Summarization Difficult task Image analysis alone is poor at capturing semantic concepts of an image In multi user sets the popularity is used but the bias introduced by few photographers can induce to overestimate the importance of some objects
  • 12. Summarization Conceptual framework1: A real point-of-interest is a point of accumulation for several photos A real point-of interest is of interest for many photographers and not only for few Textual 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
  • 14. Panoramio Micro thumbnail Link ??
  • 20. The test Panoramio Vs. Flickr Maps Vs. Fractal View Test the usability Test by interviews and eye-tracking Task: find 10 POI to collect in a favorite list Number of Testers=10
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  • 31. 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
  • 32. 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
  • 33. Acknowledgement Work part of Geoweb & Mobile Lab CRS4, in collaboration with DistrICT, UniCA, UniSS, Sardegna Ricerche