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Television Linked To The Web
www.linkedtv.eu
Lotte Belice Baltussen, Roeland Ordelman, Jaap Blom
Netherlands Institute for Sound and Vision
VideoHypE: An Editor Tool for Supervised
Automatic Video Hyperlinking
EuroITV | Como, Italy – 24 June 2013
2
www.linkedtv.eu
 LinkedTV: interweaving Web and TV into a
single experience
 Mixing lean back and lean forward
 Want to maintain immersion while removing fourth
wall illusion
 Works only for certain genres and audiences
 Does second screen help or hinder?
The LinkedTV vision
linkedtv.eu
3
www.linkedtv.eu
Scenarios and content
Enriched News
 Professional news content
produced by RBB for general
audience
 local news show rbb Aktuell
 People, locations and events
can be linked to previous
events.
Antiques Interactive
 Program watched
predominantly by 50+ers
 AVRO:
Tussen Kunst en Kitsch (TKK)
 Objects, locations and
experts provide anchors to
related materials (targets).
linkedtv.eu
4
www.linkedtv.eu
Antiques Interactive: Enriched link demo
linkedtv.eu
5
www.linkedtv.eu
dbpedia.org/resource/Jan_Sluyters
Workflow
linkedtv.eu
Paintings by Jan Sluijters
“...painting of Jan Sluijters....”
Hypervideo
analysis
Presentation
engine
Named Entity
Recognition
Enriching NEs with
web content
Generation of
media fragments
6
www.linkedtv.eu
dbpedia.org/resource/Jan_Sluyters
Workflow
linkedtv.eu
Paintings by Jan Sluijters
“...painting of Jan Sluijters....”
Hypervideo
analysis
Presentation
engine
Named Entity
Recognition
Enriching NEs with
web content
Generation of
media fragments
VideoHypE
7
www.linkedtv.eu
Why do we need VideoHypE?
, Roeland Ordelman1
 Broadcasters want to have some control.
 Editors have the expertise to determine relevance +
 The user interface can only show a limited amount of links, and there are many
 Research: sample 805 videos, average 55 NEs per video. 55 NEs = many, many
possible links depending on the size of the white list [Li et al., 2013]
NE - person: Jan Sluijters
NE – art syle: Fauvism
NE - person: Emiel Aardewerk
Link white list 1
Link white list 2
Link white list 3
Link white list 6
Link white list 7
Link white list etc etc
Link white list 4
Link white list 5
8
www.linkedtv.eu
VideoHypE requirements
, Roeland Ordelman1
 Requirements session with 5 AVRO editorial members +
digital staff of TKK. Main outcomes:
1. Selecting from list of available episodes
2. Create and edit chapters
3. Timeline with chapters
4. See annotations per chapters, distinction between entity types
5. Select annotations + related hyperlinks
6. Add selected, approved hyperlinks
7. Timeline with enities and hyperlinks
8. Add new hyperlinks to media fragments (e.g. shots/chapters/spatial)
9. Remove hyperlinks and/or entities (per media fragment or episode)
10. Separate user environment for each end user partner
11. Adding to white list
12. Sorting on entity types
13. Collaborative space
14. Delete annotations forever
15. Level of completion per chapter / episode
16. Variable # suggested links depending on time pressure
MAX 20-30 minutes per episode!!!
9
www.linkedtv.eu
Demo overview – choose your video
, Roeland Ordelman1
10
www.linkedtv.eu
Demo overview – shot overview
, Roeland Ordelman1
11
www.linkedtv.eu
Demo overview - chapters
, Roeland Ordelman1
12
www.linkedtv.eu
Demo overview – selecting entities
, Roeland Ordelman1
13
www.linkedtv.eu
Demo overview – selecting links per entity
, Roeland Ordelman1
14
www.linkedtv.eu
Demo overview – editor‘s choices overview
, Roeland Ordelman1
15
www.linkedtv.eu
Demo overview – adding links
, Roeland Ordelman1
17
www.linkedtv.eu
1. Implementing remaining requirements.
2. How to make the editor tool scalable?
• Different programmes, different requirements
• How to deal with live content?
• There is not just one front-end => one-screen solutions, 2nd screens, multiple
screens, etc.
1. Personalisation: what ‘bandwith’ is left personalisation?
2. Relevance is a crucial issue – how can the system ‘learn’?
3. User testing with real editors
VideoHypE – discussion & future work
18
www.linkedtv.eu
Thanks!
, Roeland Ordelman1
Find me here:
@lottebelice | lbbaltussen@beeldengeluid.nl
Credits:
Again: other authors are Roeland Ordelman and Jaap Blom
Slides partly by: Lynda Hardman (CWI)
Heaps of thanks to AVRO for so generously letting LinkedTV use their content.
Links:
www.linkedtv.eu
twitter.com/BenGlabs
www.avro.nl

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EuroITV - VideoHypE

  • 1. Television Linked To The Web www.linkedtv.eu Lotte Belice Baltussen, Roeland Ordelman, Jaap Blom Netherlands Institute for Sound and Vision VideoHypE: An Editor Tool for Supervised Automatic Video Hyperlinking EuroITV | Como, Italy – 24 June 2013
  • 2. 2 www.linkedtv.eu  LinkedTV: interweaving Web and TV into a single experience  Mixing lean back and lean forward  Want to maintain immersion while removing fourth wall illusion  Works only for certain genres and audiences  Does second screen help or hinder? The LinkedTV vision linkedtv.eu
  • 3. 3 www.linkedtv.eu Scenarios and content Enriched News  Professional news content produced by RBB for general audience  local news show rbb Aktuell  People, locations and events can be linked to previous events. Antiques Interactive  Program watched predominantly by 50+ers  AVRO: Tussen Kunst en Kitsch (TKK)  Objects, locations and experts provide anchors to related materials (targets). linkedtv.eu
  • 5. 5 www.linkedtv.eu dbpedia.org/resource/Jan_Sluyters Workflow linkedtv.eu Paintings by Jan Sluijters “...painting of Jan Sluijters....” Hypervideo analysis Presentation engine Named Entity Recognition Enriching NEs with web content Generation of media fragments
  • 6. 6 www.linkedtv.eu dbpedia.org/resource/Jan_Sluyters Workflow linkedtv.eu Paintings by Jan Sluijters “...painting of Jan Sluijters....” Hypervideo analysis Presentation engine Named Entity Recognition Enriching NEs with web content Generation of media fragments VideoHypE
  • 7. 7 www.linkedtv.eu Why do we need VideoHypE? , Roeland Ordelman1  Broadcasters want to have some control.  Editors have the expertise to determine relevance +  The user interface can only show a limited amount of links, and there are many  Research: sample 805 videos, average 55 NEs per video. 55 NEs = many, many possible links depending on the size of the white list [Li et al., 2013] NE - person: Jan Sluijters NE – art syle: Fauvism NE - person: Emiel Aardewerk Link white list 1 Link white list 2 Link white list 3 Link white list 6 Link white list 7 Link white list etc etc Link white list 4 Link white list 5
  • 8. 8 www.linkedtv.eu VideoHypE requirements , Roeland Ordelman1  Requirements session with 5 AVRO editorial members + digital staff of TKK. Main outcomes: 1. Selecting from list of available episodes 2. Create and edit chapters 3. Timeline with chapters 4. See annotations per chapters, distinction between entity types 5. Select annotations + related hyperlinks 6. Add selected, approved hyperlinks 7. Timeline with enities and hyperlinks 8. Add new hyperlinks to media fragments (e.g. shots/chapters/spatial) 9. Remove hyperlinks and/or entities (per media fragment or episode) 10. Separate user environment for each end user partner 11. Adding to white list 12. Sorting on entity types 13. Collaborative space 14. Delete annotations forever 15. Level of completion per chapter / episode 16. Variable # suggested links depending on time pressure MAX 20-30 minutes per episode!!!
  • 9. 9 www.linkedtv.eu Demo overview – choose your video , Roeland Ordelman1
  • 10. 10 www.linkedtv.eu Demo overview – shot overview , Roeland Ordelman1
  • 11. 11 www.linkedtv.eu Demo overview - chapters , Roeland Ordelman1
  • 12. 12 www.linkedtv.eu Demo overview – selecting entities , Roeland Ordelman1
  • 13. 13 www.linkedtv.eu Demo overview – selecting links per entity , Roeland Ordelman1
  • 14. 14 www.linkedtv.eu Demo overview – editor‘s choices overview , Roeland Ordelman1
  • 15. 15 www.linkedtv.eu Demo overview – adding links , Roeland Ordelman1
  • 16. 17 www.linkedtv.eu 1. Implementing remaining requirements. 2. How to make the editor tool scalable? • Different programmes, different requirements • How to deal with live content? • There is not just one front-end => one-screen solutions, 2nd screens, multiple screens, etc. 1. Personalisation: what ‘bandwith’ is left personalisation? 2. Relevance is a crucial issue – how can the system ‘learn’? 3. User testing with real editors VideoHypE – discussion & future work
  • 17. 18 www.linkedtv.eu Thanks! , Roeland Ordelman1 Find me here: @lottebelice | lbbaltussen@beeldengeluid.nl Credits: Again: other authors are Roeland Ordelman and Jaap Blom Slides partly by: Lynda Hardman (CWI) Heaps of thanks to AVRO for so generously letting LinkedTV use their content. Links: www.linkedtv.eu twitter.com/BenGlabs www.avro.nl

Editor's Notes

  1. (1) Big Q: Do you ever have a question about what you are watching? Would you like related information about something you have seen? Something someone mentioned? One option is to pause the TV, go find your smart phone or pad and start some google search. When you carry out the search, your device doesn't know what you were watching, nor what the specific scene was about. Wouldn't it be nice to have a system that knows what you are watching, knows what you like and that presents links to extra pieces of information to you? Technology only likely to be useful when audience , content and program genre match. (2) slide
  2. (1) Currently developing tools using 2 program genres
  3. (1) What do we think it will look like? Not like this! Select video. Link to video! http://www.linkedtv.eu/scenarios/hyperlinked-documentary-scenario/
  4. Developing individual technologies, using content from 2 program genres, with the aim of creating an end2end prototype. 1. Given a video: segment it to shots detect visual concepts detect faces perform audio analysis (ASR) perform keyword extraction 2. Media fragments => time-related! 3. ANCHORS Named Entities => e.g. Jan Sluyters, disambiguated wtih DBpedia link 4. TARGETS web content from WHITE LIST connected to the ANCHORS
  5. [Li, Rizzo, Redondo, Troncy, Wald, Wills 2013: http://www.eurecom.fr/~troncy/Publications/Li_Troncy-lime13.pdf].
  6. Black = implemented Orange = mocked-up Blue = to be done
  7. Clicking a shot results in a jump to the point of the shot in the video Select different videos that need to be edited
  8. Clicking a shot results in a jump to the point of the shot in the video Select different videos that need to be edited
  9. * Create and edit chapters (titles + start and end times)
  10. * Select specific entity types – in this case ‘ person ’
  11. * Select links per entity and add them to the editor ’ s choice.
  12. Selected links with corresponding entity types shown in editor ’ s choice section Here, the editor can also add his/her own hyperlinks.
  13. Selected links with corresponding entity types shown in editor ’ s choice section Here, the editor can also add his/her own hyperlinks.