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Television Linked To The Web

VideoHypE: An Editor Tool for Supervised
Automatic Video Hyperlinking
Lotte Belice Baltussen, Roeland Ordelman, Jaap Blom
Netherlands Institute for Sound and Vision
EuroITV | Como, Italy – 24 June 2013
www.linkedtv.eu
The LinkedTV vision
www.linkedtv.eu

 LinkedTV: interweaving Web and TV into a
single experience
 Mixing lean back and lean forward




2

Want to maintain immersion while removing fourth
wall illusion
Works only for certain genres and audiences
Does second screen help or hinder?

linkedtv.eu
Scenarios and content
www.linkedtv.eu

Enriched News

Antiques Interactive

 Professional news content
produced by RBB for general
audience
 local news show rbb Aktuell
 People, locations and events
can be linked to previous
events.

 Program watched
predominantly by 50+ers
 AVRO:

3

linkedtv.eu

Tussen Kunst en Kitsch (TKK)

 Objects, locations and
experts provide anchors to
related materials (targets).
Antiques Interactive: Enriched link demo
www.linkedtv.eu

4

linkedtv.eu
Workflow
www.linkedtv.eu

Hypervideo
analysis

Paintings by Jan Sluijters

Generation of
media fragments
Named Entity
Recognition
Enriching NEs with
web content
“...painting of Jan Sluijters....”
dbpedia.org/resource/Jan_Sluyters
5

linkedtv.eu

Presentation
engine
Workflow
www.linkedtv.eu

Hypervideo
analysis

Paintings by Jan Sluijters

Generation of
media fragments
Named Entity
Recognition
Enriching NEs with
web content
VideoHypE

“...painting of Jan Sluijters....”

dbpedia.org/resource/Jan_Sluyters
6

linkedtv.eu

Presentation
engine
Why do we need VideoHypE?
www.linkedtv.eu

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]
ist 1
hite l
w
Link

NE - person: Jan Sluijters

, Roeland Ordelman1
NE – art syle: Fauvism

NE - person: Emiel Aardewerk

Link white

list 2

Link white lis

Link white list 4
Link white list 5
hite l
in k w
L

ist 6

list 7
Link white

Link white lis

7

t3

t etc etc
VideoHypE requirements
www.linkedtv.eu

 Requirements session with 5 AVRO editorial members +
digital staff of TKK. Main outcomes:
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
16.

Separate user environment for each end user partner
Selecting from list of available episodes
Create and edit chapters
Timeline with chapters
See annotations per chapters, distinction between entity types
Select annotations + related hyperlinks
, Roeland Ordelman1
Add selected, approved hyperlinks
Remove hyperlinks and/or entities (per media fragment or episode)
Timeline with enities and hyperlinks
Add new hyperlinks to media fragments (e.g. shots/chapters/spatial)
Adding to white list
Sorting on entity types => not yet
Collaborative space => not yet
Delete annotations forever => not yet
Level of completion per chapter / episode => not yet
Variable # suggested links depending on time pressure

MAX 20-30 minutes per episode!!!
8
Demo overview – choose your video
www.linkedtv.eu

, Roeland Ordelman1

9
Demo overview – shot overview
www.linkedtv.eu

, Roeland Ordelman1

10
Demo overview - chapters
www.linkedtv.eu

, Roeland Ordelman1

11
Demo overview – selecting entities
www.linkedtv.eu

, Roeland Ordelman1

12
Demo overview – selecting links per entity
www.linkedtv.eu

, Roeland Ordelman1

13
Demo overview – editor‘s choices overview
www.linkedtv.eu

, Roeland Ordelman1

14
Demo overview – adding links
www.linkedtv.eu

, Roeland Ordelman1

15
VideoHypE – discussion & future work
www.linkedtv.eu

1.
2.

Implementing remaining requirements.
How to make the editor tool scalable?
•
•
•

1.
2.
3.

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.

Personalisation: what ‘bandwith’ is left personalisation?
Relevance is a crucial issue – how can the system ‘learn’?
User testing with real editors

17
Thanks!
www.linkedtv.eu

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.

, Roeland Ordelman1

Links:
www.linkedtv.eu
twitter.com/BenGlabs
www.avro.nl

18

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VideoHypE: An Editor Tool for Supervised Automatic Video Hyperlinking

  • 1. Television Linked To The Web VideoHypE: An Editor Tool for Supervised Automatic Video Hyperlinking Lotte Belice Baltussen, Roeland Ordelman, Jaap Blom Netherlands Institute for Sound and Vision EuroITV | Como, Italy – 24 June 2013 www.linkedtv.eu
  • 2. The LinkedTV vision www.linkedtv.eu  LinkedTV: interweaving Web and TV into a single experience  Mixing lean back and lean forward    2 Want to maintain immersion while removing fourth wall illusion Works only for certain genres and audiences Does second screen help or hinder? linkedtv.eu
  • 3. Scenarios and content www.linkedtv.eu Enriched News Antiques Interactive  Professional news content produced by RBB for general audience  local news show rbb Aktuell  People, locations and events can be linked to previous events.  Program watched predominantly by 50+ers  AVRO: 3 linkedtv.eu Tussen Kunst en Kitsch (TKK)  Objects, locations and experts provide anchors to related materials (targets).
  • 4. Antiques Interactive: Enriched link demo www.linkedtv.eu 4 linkedtv.eu
  • 5. Workflow www.linkedtv.eu Hypervideo analysis Paintings by Jan Sluijters Generation of media fragments Named Entity Recognition Enriching NEs with web content “...painting of Jan Sluijters....” dbpedia.org/resource/Jan_Sluyters 5 linkedtv.eu Presentation engine
  • 6. Workflow www.linkedtv.eu Hypervideo analysis Paintings by Jan Sluijters Generation of media fragments Named Entity Recognition Enriching NEs with web content VideoHypE “...painting of Jan Sluijters....” dbpedia.org/resource/Jan_Sluyters 6 linkedtv.eu Presentation engine
  • 7. Why do we need VideoHypE? www.linkedtv.eu 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] ist 1 hite l w Link NE - person: Jan Sluijters , Roeland Ordelman1 NE – art syle: Fauvism NE - person: Emiel Aardewerk Link white list 2 Link white lis Link white list 4 Link white list 5 hite l in k w L ist 6 list 7 Link white Link white lis 7 t3 t etc etc
  • 8. VideoHypE requirements www.linkedtv.eu  Requirements session with 5 AVRO editorial members + digital staff of TKK. Main outcomes: 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. Separate user environment for each end user partner Selecting from list of available episodes Create and edit chapters Timeline with chapters See annotations per chapters, distinction between entity types Select annotations + related hyperlinks , Roeland Ordelman1 Add selected, approved hyperlinks Remove hyperlinks and/or entities (per media fragment or episode) Timeline with enities and hyperlinks Add new hyperlinks to media fragments (e.g. shots/chapters/spatial) Adding to white list Sorting on entity types => not yet Collaborative space => not yet Delete annotations forever => not yet Level of completion per chapter / episode => not yet Variable # suggested links depending on time pressure MAX 20-30 minutes per episode!!! 8
  • 9. Demo overview – choose your video www.linkedtv.eu , Roeland Ordelman1 9
  • 10. Demo overview – shot overview www.linkedtv.eu , Roeland Ordelman1 10
  • 11. Demo overview - chapters www.linkedtv.eu , Roeland Ordelman1 11
  • 12. Demo overview – selecting entities www.linkedtv.eu , Roeland Ordelman1 12
  • 13. Demo overview – selecting links per entity www.linkedtv.eu , Roeland Ordelman1 13
  • 14. Demo overview – editor‘s choices overview www.linkedtv.eu , Roeland Ordelman1 14
  • 15. Demo overview – adding links www.linkedtv.eu , Roeland Ordelman1 15
  • 16. VideoHypE – discussion & future work www.linkedtv.eu 1. 2. Implementing remaining requirements. How to make the editor tool scalable? • • • 1. 2. 3. 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. Personalisation: what ‘bandwith’ is left personalisation? Relevance is a crucial issue – how can the system ‘learn’? User testing with real editors 17
  • 17. Thanks! www.linkedtv.eu 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. , Roeland Ordelman1 Links: www.linkedtv.eu twitter.com/BenGlabs www.avro.nl 18

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. EXPLAIN CHAPTER!
  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.