Browsing Large Collections of Geo-Tagged Pictures - Presentation Transcript
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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