medialoep
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Presentation about semantic search technologies in a search application
![Vrt-Medialab 2 MediaLoep ,[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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medialoep
- 1. Slimmer zoeken in media dankzij Linked Open Data Future Internet Technologies Workshop 23/03/2011 Vrt-medialab 1 Vrt-Medialab
- 6. Not self-descriptive Video / Audio are continuous media with a time-dimension -> we prefer time-coded metadata Searching Media: Media ≠ Text! 35’00”>36’33” Observation by police 01’43”>04’20” Police agent looks worried 00’00”>01’43”Robbery on shop 4
- 7. Searching Media: Media ≠ Text! 35’00”>36’33” Observation by police 5
- 8. Searching the media archive Basis 6 Vrt-Medialab
- 9. Searching the media archive Ardome 7 Vrt-Medialab
- 10. Not enough detailed annotations available “X spits on the ground after Y makes a goal” The entire dialogue so we can search for quotes Labels, locations, links, maps, photographs, … as the creation of these annotations is very time consuming. Vrt-Medialab 8 Search is a problem
- 20. Vrt-Medialab 14 An Archived News Clip Manual Annotations keywords textual description other fields
- 21. Vrt-Medialab 15 An Archived News Clip Information added by the news preparation: overlay captions autocue text links to other items inthis news broadcast
- 22. Vrt-Medialab 16 An Archived News Clip Information added by the subtitles: time-coded transcriptof the dialogue
- 23. Vrt-Medialab 17 Subtitles are used as a transcript
- 24. Vrt-Medialab 18 An example MediaLoep result
- 25. Vrt-Medialab 19 Linking to Promotional Images
- 30. Vrt-Medialab 22 The Linked Open Data Cloud Linksto the same resource in other knowledge bases can be created. country Geneva Switzerland sameAs area 15.86 km2 Geneva latitude 46° 12' 0" N GeoNames
- 31. Vrt-Medialab 23 The Linked Open Data Cloud A network of linked knowledge is created.
- 32. Vrt-Medialab 24 The Linked Open Data Cloud We can leverage this knowledge by linking our metadata to the Linked Open Data Cloud. MediaLoep
- 33. Archivistsadd thesaurus keywords to clips Bylinking these keywords to the LOD cloud, we canmake the search system smarter Vrt-Medialab 25 Enhancing the thesaurus Gent Devolder, Stijn Europe … Gent -> coordinateson a map? Devolder, Stijn -> a picture? …
- 34. Example “Gent” label @EN “Ghent” Ghent label @NL “Gent” sameAs 2797656 longitude E 3° 43' 0'' latitude N 51° 3' 0'' GeoNames population 231493 Vrt-Medialab 26
- 35. Example “Devolder, Stijn” Kortrijk Stijn_Devolder birthPlace label @NL “Kortrijk” label @NL “StijnDevolder” a Person, Athlete, Cyclist, … depiction abstract Stijn Devolder is een Belgische wielrenner. Devolder begon zijn wielercarrière bij de KortrijkseGroeninge Spurters. Na een stage bij de Mapei-wielerploeg, belandde…
- 36. Vrt-Medialab 28 How we linked automatically Boonen, Tom
- 37. Vrt-Medialab 29 How we linked automatically Boonen, Tom appears often together with “Wielrennen” & “Cancellara, Fabian”
- 38. Information pop-ups Visual search result summaries Structured filters Smart suggestions Multilingual search Vrt-Medialab 30 Features
- 39. Vrt-Medialab 31 Information Pop-ups
- 40. Previously: limited structure (exception: locations) Now: each keyword has several types, which can be used to create smart filters:Concept > Person > Athlete > Cyclist Vrt-Medialab 32 Structured Thesaurus
- 41. Vrt-Medialab 33 Visual Search Result Summaries
- 42. Vrt-Medialab 34 Smart Suggestions yvesLeterme opvolger successor -> Ga op zoek naar triples met resource label “Yves Leterme” en property label “successor”
- 43. Vrt-Medialab 35 Smart Suggestions label @NL “Yves Leterme” Yves_Leterme successor …
- 44. Multilingual Search label @EN “Antwerp” Antwerp label @NL “Antwerpen” label @FR “Anvers”
- 45. Vrt-Medialab 37 Multilingual Search
- 46. Material in the demo All video material produced in 2010 Promotional images 2010 Metadata based on fixed dumps of subtitles, news production system, EPG, … Vrt-Medialab 38 MediaLoep Demo
- 47. Vrt-Medialab 39 MediaLoep Demo
Editor's Notes
- By adding metadata, we can search for “raid” and get a pointer to this video.
- But in a video this is not enough. What is depicted within video changes throughout time. The first minute might contain the actual raid on a shop, the next 5 mins might contain shots from the investigation and so on. So we need to timebox the descriptions, which we call time-coded metadata.
- But in a video this is not enough. What is depicted within video changes throughout time. The first minute might contain the actual raid on a shop, the next 5 mins might contain shots from the investigation and so on. So we need to timebox the descriptions, which we call time-coded metadata.