Geotagging+ar

Geotagging – and reverse
Geotagging
Consumer technology accelerating
towards Augmented Reality
Tony Fricko - N 48° 18' 0'' E 16° 21' 0''

Agenda
 Stage 1: Geotagging for photography
 Technology and state of the art equipment

 Stage 2: The Geo Web – GIS Services and more
 Community use of geo-tagged data (POIs)
 Advanced search and presentation techniques

 Stage 3: Geo- (location services) for mobile devices
and augmented reality
 Technology, business models and motivations
 The players and their offerings

July 28th 2010 Geotagging & AR - Tony Fricko 2

Intro – Who's talking ?
 Anton (Tony) Fricko
 40 years in IT, software
development, sales, consulting
 38 years with IBM in several
international positions in UK,
Netherlands and Austria
 Current position:
 Community Manager at
OSSBIG, an open source
organization in Austria
 At home in
N 48° 18' 0'' E 16° 21' 0''
 Hobbies: Photography,
motorbikes, travel


Stage 1 – Geotagging for
photographers

 What we need:
 DigitalCamera equipment
 GPS Tracker
 Synchronisation tools
 Visualisation (map services)


What ist Geo-Tagging ?
 For photographers: recording the exact position where a picture was taken
 With the aim to indicate the recording location on a map
 Or use this information with an increasing number of applications...

http://www.flickr.com/photos/zeddy1200/map/

Metadata for digital photo objects
There are multiple formats & standards for metadata

 EXIF
 Contains metadata describing the details from the camera equipment used to
record the specific photo. It is defined by the Japan Electronic Industry
Development Association (JEIDA) - Exif-specifications

 IPTC (Core + Extensions)
 Another important set of standardized information is contained in the IPTC
headers of the International Press Telecommunications Council (IPTC)
 It is meant for use by professional photographers for cataloging and managing
large photo collections

 XMP (Extensible Metadata Platform)
 Created by Adobe Systems for similar purpose as IPTC
 As a separate XML file it supports also RAW format

 Vendor specific extensions
 Become more important, as some manufacturers start recording face recognition
information


Excerpt from EXIF Specs – GPS tags


Workflow – for batch processing
How did we do it ?
1. Record the GPS data (track) Garmin eTrex Vista HCx
Datalogger extern or in camera *)

2. Synchronize time in camera and data 1st day of vacation - don't forget !!
logger

Sony Alpha 350
3. Take pictures (lots !) Sony DSC-R1

4. Upload GPS data + photos to PC MapSource oder Cardreader

5. Synchronise – insert GPS data into EXIF
of photos GPicSync – open source SW

6. Display photos on maps or specific
applications Upload to Flickr

*) steps 2,4,5 not required


GPS Receiver
 To collect geo location information there are
currently these device options for
photographers:

 1) integrated in camera
several consumer cameras emerging:
e.g. Sony DSC-H5VX

 2) dedicated data logger (Holux)

 3) GPS logger dedicated for specific camera
for highend DSLRs (Solmeta, Dawntech)

 4) Navigation systems
typical GPS tracking devices


.GPX – GPS Exchange Format
 Datenformat for storage of Geodaten (GPS-Data),
developed by company TopoGrafix
 http://www.topografix.com/gpx.asp
Global Schema Components
Element: gpx
Complex Type: gpxType
Complex Type: metadataType
Complex Type: wptType
Complex Type: rteType
Complex Type: trkType
Complex Type: extensionsType
Complex Type: trksegType
Complex Type: copyrightType
Complex Type: linkType
Complex Type: emailType
Complex Type: personType
Complex Type: ptType
Complex Type: ptsegType
Complex Type: boundsType
Simple Type: latitudeType
Simple Type: longitudeType
Simple Type: degreesType
Simple Type: fixType
Simple Type: dgpsStationType

GPX schema
Track structure

July 28th 2010 Geotagging & AR - Tony Fricko Actual data 10

How GPicSync works
 Synchronisation GPicSync
 GpicSync (an open source tool)
 http://code.google.com/p/gpicsync/

 We take a track file ( .GPX ) and select a directory
where the photos are located
 Based on the time stamp, the program will attempt a
'best fit' assignment of coordinates into the Exif
structure
 Reverse Geo Tagging
 Optionally the GeoNames service can be used to
provide a human readable form of the location

Exiftool with ExifGUI frontend


Display in Google Earth


Reverse Geo-Tagging
 GeoNames
 A geographical database that
contains more than 8 mill
entries
 Provides multiple web
services interfaces (XML,
JSON, etc) to search and
convert coordinates into
placenames
 e.g. N 48° 18' 0''
E 16° 21' 0'' into
Langenzersdorf, Austria
 http://www.geonames.org

Stage 2 – maps and layers - GeoWeb
 So far we looked at geo-tagging photos and placed
them on multiple map sources as featured objects
 We now dive a bit deeper into how these geo-
tagged objects are managed and what technology is
used for mapping.
 The big buildung blocks are:
 Base map +
 Geo-tagged objects (features) +
 Layering technology (for aggregation) +
 Browser for visualisation


Many apps to show photos on maps
 Flickr
 Foto sharing via web
 http://www.flickr.com/photos/zeddy1200
 Track and Share
 http://www.track-n-share.com
 EveryTrail
 www.everytrail.com
 Pic2base – Client/Server photo mgmt with geotagging
 http://www.pic2base.de/
 Linux-Software zur Bildverwaltung mit Umkreissuchen, etc, ...
 Loc.alize.us
 http://loc.alize.us/#/geo:0.000000,0.000000,2,k/
 locr – Locate your photos
 http://www.locr.com/
 Panoramio – Google Service
 http://www.panoramio.com/
 Google Earth und Google Maps


EveryTrail
 www.everytrail.com

 Example – Kayaktour
 Taku Inlet - Alaska, United States
 http://www.everytrail.com/view_trip.php?trip_id=47048

 Ideal for outdoor activities like
mountain bikers, hikers, etc.


Map on Flickr


Search for photos by location
 CDWinder – Media DB for Windows
 CDFinder – Media DB for Mac
 Can search for photos within a predefined range ( xx miles )
 http://www.cdfinder.de/de/de/de/geotagging.html

 Useful e.g. when multiple visits to a city, e.g. Quito

 Integration in GIS DB
 UK decided to open the maps of Ordonance Survey
 http://openspace.ordnancesurvey.co.uk/openspace/

 And more personalized services:
 Face recognition + location combined !

Maps showing tourist activities via geo-
tagged photos
Example from
Panoramio of geo-
tagged activities

Can download the
source code from
Bluemoon to create
such 'heat maps'

Source: Bluemoon

Geotagging + compass in consumer
camera
Example showing a
photo from Sony
DSC-HX5V on
GeoSetter with
OpenStreetMap

With integrated
compass the
camera orientation Assisted GPS – satellite routes are pre-calculated
Helps for 'cold starts'
can be detected
fairly precisely

Wikipedia and related
crowd sourcing efforts
 Wikipedia
 WikiProjects Geography
 WikiProject Geographical coordinates
 Collection of a series of projects to correlate knowledge
(articles) with a geo reference
 One result is the offer of Web services to respond to
queries like:
 Giveme all articles in the vicinity of 0.5km given the
current location coordinates (long/lat)
 Wikipedia Geocoding Web Service


GeoHack Map Services

Krasnoyarsk Hydroelectric Dam

●
A great example for global
and local services
●
All maps can be displayed
by a single click

Source: Wikipedia


A complete open source stack
Provides controls for manipulating
Maps in a browser
OpenLayers, Mapbender, etc

GeoServer is the reference
implementation of the OGC Web
Feature Service (WFS) and Web
Coverage Service (WCS) standards
and Web Map Service (WMS).

Map data and feature objects are
typically stored in databases
Often PostgreSQL / PostGis

Credit: http://opengeo.org/publications/opengeo-architecture/


Stage 3
Mobile devices and augmented reality
 For an even more personalized experience now
add:
 Mobilebrowser (with 3D rendering) +
 Sensor data from portable device +
 Direction (compass), acceleration (Gyro), image of
surroundings (camera redirected to display)
 3D objects with geo-location +
 Event engine + real time processing
 Markerless tracking
 Visual search

How does (mobile) AR work ?

Symbian – Around project

For Nokia phones only
Download available at:
http://www.seqpoint.com/beta-labs/69


AR in the mobile space today

Number of AR applications *)
- Android Market Place: 71
- Apple App Store: 350
2014:

Trends > 400 mill
downloads
- Increasing number of location per year

based search apps
- Games
- Enterprise Apps

Growth: **)
- 2010: ww revenue 2 mill
- 2014: ww 732 mill *) End of May 2010
**) Source: Juniper Research – Mobile AR, 2009


The players (and some examples..)
 Research projects / open source efforts
 Frauenhofer Institut
 NavIT
 Commercial startups / technology providers
 Wikitude
 Layar
 Integrators / marketing industry
 Fjord
 Hoppala
 Telecom / carrieres
 Qualcomm investment in AR lab in Vienna
 Telefonica, Telekom Austria, many others


Lack of standards and interoperability
Concern:
Key features lack standards across providers:
POIs, Geo-tagging, Linking, Styling, Filter, Search,
Actions, Caching, Dynamic Update and User
Interaction, 3D objects,..
W3C – OMA Mobile AR


Layar – augmented reality browser..
and business model
 Layar – a Dutch startup
 Extensive developer support
 Open platform, everyboday can create
 Community generated content
 Screened and hosted and owned by Layar
 > 1.500 contributors, 300 layers worldwide
 Broad device support
 iPhone (store), Symbian, Android
 Business Model
 Premium placement
 'Branded' Browser

Augmented Reality

 Live camera
 Compass
 Geotagged content

Example: Layar
(Google Android)

Source: Layar.eu

Mobilizy
Wikitude
a Symbian app for Nokia
Show all relevant POIs with
info from and direct links to:
- Wikipedia
- Flickr
- Google
- etc
Devices needs to support these features:
- GPS
- Magnometer (compass)
- Movement sensor (gyro)

Mobilizy also propagates ARML Standard Source: Mobilizy


Fjord

Augmented Reality Concept

Fjord appears to be more a solution
provider focussing on the
advertising market
http://www.fjordnet.com/augmentedreality

Outlook and business potential
 AR will provide multi million Dollar business on mobile
devices...
 Windsor Holden from Juniper Research predicts 730 mill Dlr
business for mobile advertising and marketing in the AR space
by 2014 with 350 mill handsets enabled
 Ice breakers will be location based searches on mobiles
 AR supported advertising
 Odds:
 Unclear legal situation
 Device proliferation and lack of standards (may make the
development cost too high or create functional islands)
 1st European AR conference: Berlin, April 2010
 Mobile AR Summit 2010 @ MWC, Barcelona Feb 2010
 ARE 2010, US June 2010

Summary – Consumer driven
development based on geotagging
 Photography
 Consumer cameras with increased functionality re geo-tagging
 More applications to exploit, incl. Face recognition and social network
apps
 Mapping
 Data representation and analysis often easier to consume in
geographical context
 Geo-tagged material and freely available maps on the increase
 Mobile applications
 The next big battle ground (search/find, marketing, games, social
networks)
 High-end device manufacturers and telecoms looking for killer apps and
new revenue sources
 Consumer driven by 'desirability' and convenience

anton.fricko@ossbig.at
This is a shortened version of some more comprehensive material, which
will be published on Slideshare after the GeoWeb 2010 Conference


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