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taming your media chaos
iMinds13th Oct 2011
Karel BraeckmanVRT-medialab
try finding the video about an earthquake
A computer sees bits
? earthquake
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Textual metadata is needed to help the system find the correct videos
earthquake
HAITI
VICTIMS
EARTHQUAKE
how to obtain metadata?
manual
high qualitybut
takes time
9
SCAIEMEDIAMAP
PISAMEDIALOE
P
CHAMP
manual be smart
repurpose
crowd sourcing
extraction tools
linked data
manual be smart
repurpose
crowd sourcing
extraction tools
linked data
manual be smart
repurpose
crowd sourcing
extraction tools
linked data
save & structure informationwhile creating
“cradle to the grave”
be smart
be smart @ Champ
@ Champbe smart
@ MediaMapbe smart
@ PISA “Scoop”be smart
http://www.youtube.com/watch?v=cc_xQN7iyZo
= future
but requires change of toolswhat about productions
not made with those tools?
be smart
manual be smart
repurpose
crowd sourcing
extraction tools
linked data
repurpose information from existing systems for search & navigation
repurpose
@ PISA “Trouvaille”repurpose
@ MediaLoep
manual
annotations
subtitles
playout schedule
press photos
news preparation
news cms
news agencies
scripts
repurpose
http://www.youtube.com/watch?v=CIaLnLKuXu8
lots of metadatabut
not applicable to all material
repurpose
manual be smart
repurpose
crowd sourcing
extraction tools
linked data
while interacting with your contentpeople create metadata
crowd sourcing
crowd sourcing @ DeKoers
@ DeKoers
#gilbert
#sprint
#muur
#boonen
crowd sourcing
manual be smart
repurpose
crowd sourcing
extraction tools
linked data
Speech Jingle
“Live”,”Brussel”,“Goedele Devroy”
“Ik sta in Brussel te wachten maar…”
face = “Goedele Devroy”
extraction tools
Detect shot / scene / audio changes
extraction tools @ PISA
Detect and recognize faces
extraction tools @ PISA
Detect reuse
extraction tools @ PISA
@ PISA
promising
low-level metadataacademic
extraction tools
@ EBU SCAIE
list & evaluatefeature extraction tools
academic → real-life
extraction tools
manual be smart
repurpose
crowd sourcing
extraction tools
linked data
manual be smart
repurpose
crowd sourcing
extraction tools
linked data
Enhancing existing metadata using Linked Open Data
HAITI
Plotting a location on a map requires the latitude / longitude
BAN KI-MOON
Showing a photograph or summarizing a set of search results
Open online knowledge basescontain an abundance of knowledge
DBpedia
Geo-names
W3CWordNet
FlickrWrappr
H A I T I I S A C O U N T R Y
9 M I L L I O N P E O P L E L I V E I N H A I T I
H A I T I H A S C O O R D I N AT E S 1 9 ° N 7 2 ° W
E A R T H Q A K E I S A G E O L O G I C A L P H E N O M E N O N
T H I S I S A P I C T U R ER E L AT E D T O E A R T H Q U A K E
HAITI countrytype
population8 924 000
HAITIlatitude, longitude
19° N 72° W GeoNames
sameAs
HAITI Link to information from DBpedia & GeoNamesKEYWORDS
@ MediaLoeplinked data
VISIT OUR BOOTH FOR A DEMO!
VISIT OUR BOOTH FOR A DEMO!
from PoC to product @
ALSO VISITTHIS BOOTH!
manual be smart
repurpose
crowd sourcing
extraction tools
linked data
Obtain & structure metadata: many methods, none is perfect
thank you
