1. taming your media chaos iMinds13th Oct 2011 KarelBraeckman VRT-medialab

2. try finding the video about an earthquake

5. A computer sees bits earthquake ? 10011001010010110101010101010110101101010101010101111001 10011001010010110101010101010110101101010101010101111001 10011001010010110101010101010110101101010101010101111001

6. Textual metadata is needed to help the system find the correct videos earthquake HAITI VICTIMS EARTHQUAKE

7. how to obtain metadata?

8. high quality but takes time

9. 9 CHAMP SCAIE MEDIAMAP PISA MEDIALOEP

10. manual be smart crowd sourcing repurpose extraction tools linked data

11. manual be smart crowd sourcing repurpose extraction tools linked data

12. manual be smart crowd sourcing repurpose extraction tools linked data

13. save & structure information while creating “cradle to the grave”

14. @ Champ

15. @ Champ

16. @ MediaMap

17. @ PISA “Scoop”

18. http://www.youtube.com/watch?v=cc_xQN7iyZo

19. = future but requires change of tools what about productions not made with those tools?

20. manual be smart crowd sourcing repurpose extraction tools linked data

21. repurpose information from existing systems for search & navigation

22. @ PISA “Trouvaille”

23. @ MediaLoep manual annotations subtitles playout schedulepress photosnews preparation news cmsnews agenciesscripts

24. http://www.youtube.com/watch?v=CIaLnLKuXu8

26. lots of metadata but not applicable to all material

27. manual be smart crowd sourcing repurpose extraction tools linked data

28. while interacting with your content people create metadata

29. @ DeKoers

30. @ DeKoers #gilbert #boonen #sprint #muur

31. manual be smart crowd sourcing extraction tools repurpose linked data

32. face = “GoedeleDevroy” “Live”,”Brussel”,“GoedeleDevroy” Speech Jingle “Iksta in Brusseltewachtenmaar…”

33. @ PISA Detect shot / scene / audio changes

34. @ PISA Detect and recognize faces

35. @ PISA Detect reuse

37. @ PISA promising low-level metadata academic

38. @ EBU SCAIE list & evaluate feature extraction tools academic -> real-life

39. manual be smart crowd sourcing extraction tools repurpose linked data

40. manual be smart crowd sourcing repurpose extraction tools linked data Enhancing existing metadata using Linked Open Data

41. Plotting a location on a map requires the latitude / longitude HAITI

42. Showing a photograph or summarizing a set of search results BAN KI-MOON

43. Open online knowledge basescontain an abundance of knowledge HAITI HAS COORDINATES 19°N 72°W THIS IS A PICTURERELATED TO EARTHQUAKE Geo-names FlickrWrappr DBpedia W3CWordNet HAITI IS A COUNTRY 9 MILLION PEOPLE LIVE IN HAITI EARTHQAKE IS A GEOLOGICAL PHENOMENON

44. Link to information from DBpedia & GeoNames KEYWORDS HAITI country HAITI HAITI type population 8 924 000 sameAs latitude, longitude 19° N 72° W GeoNames

45. @ MediaLoep

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47. from PoC to product @ VISIT OUR BOOTH FOR A DEMO! ALSO VISITTHIS BOOTH!

48. manual be smart crowd sourcing repurpose extraction tools linked data Obtain & structure metadata: many methods, none is perfect

50. thank you