The Trans-Vector Platform, by Lyndon Nixon at TVX 2019 @datatv

ReTV project
ReTV projectReTV project
The Trans-Vector
Platform
for optimized re-purposing
and re-publication of TV content
Lyndon Nixon, MODUL Technology
DataTV @ TVX2019, 5/6/2019
ReTV will develop aTrans-Vector
Platform (TVP) to analyse content
across all channels and “publish to
all media vectors with the effort of
one”
Content Collection &
Annotation
TV Program information from EPG data and
from Linked Data sources
TV Ad information from Ad suppliers
Related Content (mentioning aTV program)
fromWeb and Social Media
- Keyword Detection, Association
- Entity Recognition, Linking
- Event and Document Relations
Video Fragmentation & Annotation
Video fragmentation into Scene, Shot and Sub-shot
Labeling of fragments with visual concepts
Detection of brand and channel logos in frames; detection of ad breaks
Content Success Metrics acrossVectors
Audience metrics for OTTTV (combined with viewer profiling -> audience segmentation and
targeting)
Content success metrics forWeb and Social Media : reach, impact, popularity, sentiment, desired
associations vs no undesired associations (WYSDOM)
Content Success Prediction across
Vectors
Use historical data (trends) to predict future success of content
- Use topics of content as a feature, not just the content (TV
series) itself
- Identify and include external events as a feature (irregularity)
Content Adaptation & Re-
Purposing
Video summarization e.g. Focus on most successful topics
Text summarization e.g. Suggested keywords for a social
media posting
Content Recommendation &
Scheduling
Recommendation engine
- Most relevant content for this viewer in this context
Scheduling engine
- „Most likely to be successful“ content on this vector at this time
@ReTV_EU Facebook: ReTVeuwww.ReTV-Project.eu Instagram: retv_project
TheTVP enables new media professional and media
consumer applications.
Content Wizard (repurposing) Topic Compass (scheduling)
4U2 (user recommendation) Content sWitch (DAI/DCI)
Selects video clips for combination
and re-publication, with
recommendations for the vector and
time, and adaptations of content to
that vector.
Inserts content or advertising targeted
to the viewer, profiled by their (recent)
media consumption, into the media
stream (e.g. pre-roll to a recording, on
channel switch or during the ad break)
Visualises popularity of content and
topics on different vectors and
predicts the future popularity;
recommends content for a future
vector at a future time.
Chatbot to make trending content
recommendations to subscribers;
provides links to media streams,
digital content or future broadcast.
Keep ppl watching theTV content!
@ReTV_EU Facebook: ReTVeuwww.ReTV-Project.eu Instagram: retv_project
TopicsCompass: combine analytics and prediction to
inform a more successful content publication strategy
Topic Compass (scheduling) Visualise topics which
are predicted to be
popular on future
dates
Visualises popularity, polarity and
communication success of topics on
different vectors.
?
It will predict
future popularity,
polarity and
communication
success.
Visualise associations
made in online
content with a target
(such as aTV
program)
@ReTV_EU Facebook: ReTVeuwww.ReTV-Project.eu Instagram: retv_project
ContentWizard: re-purpose and re-publish content for
optimal reach on every channel
Content Wizard (repurposing)
Publish on the right
channel at the right
time for the optimal
predicted reach.
Selects video clips for combination
and re-publication, with
recommendations for the vector and
time, and adaptations of content to
that vector.
Select content for
publication based on
predictions of
popularity of that
content (Topics
Compass).
Create content
summaries based on
(a) channel (e.g. video
duration limits), (b)
topics of interest and
(c) purpose.
@ReTV_EU Facebook: ReTVeuwww.ReTV-Project.eu Instagram: retv_project
4u2: a chatbot for recommending trending content
@ReTV_EU Facebook: ReTVeuwww.ReTV-Project.eu Instagram: retv_project
Content sWitch: dynamic insertion of personalised in-
stream content
The ReTV Stakeholder Forum is your
opportunity to engage with us, be first
to get updates and have the opportunity
to test theTVP and applications!
First prototype of theTVP Dashboard is
available. Professional user tools will be
available (prototypes) July/August 2019.
Viewer applications on top ofTVP
(recommendation chatbot, dynamic in-
stream content placement) will also be
tested in July/August 2019
@ReTV_EU Facebook: ReTVeuwww.ReTV-Project.eu Instagram: retv_project
Dr. Lyndon Nixon
ReTV Project Coordinator
info@retv-project.eu
@ReTV_EU @ReTVeu
ReTV Project retv_project
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The Trans-Vector Platform, by Lyndon Nixon at TVX 2019 @datatv

  • 1. The Trans-Vector Platform for optimized re-purposing and re-publication of TV content Lyndon Nixon, MODUL Technology DataTV @ TVX2019, 5/6/2019
  • 2. ReTV will develop aTrans-Vector Platform (TVP) to analyse content across all channels and “publish to all media vectors with the effort of one”
  • 3. Content Collection & Annotation TV Program information from EPG data and from Linked Data sources TV Ad information from Ad suppliers Related Content (mentioning aTV program) fromWeb and Social Media - Keyword Detection, Association - Entity Recognition, Linking - Event and Document Relations
  • 4. Video Fragmentation & Annotation Video fragmentation into Scene, Shot and Sub-shot Labeling of fragments with visual concepts Detection of brand and channel logos in frames; detection of ad breaks
  • 5. Content Success Metrics acrossVectors Audience metrics for OTTTV (combined with viewer profiling -> audience segmentation and targeting) Content success metrics forWeb and Social Media : reach, impact, popularity, sentiment, desired associations vs no undesired associations (WYSDOM)
  • 6. Content Success Prediction across Vectors Use historical data (trends) to predict future success of content - Use topics of content as a feature, not just the content (TV series) itself - Identify and include external events as a feature (irregularity)
  • 7. Content Adaptation & Re- Purposing Video summarization e.g. Focus on most successful topics Text summarization e.g. Suggested keywords for a social media posting Content Recommendation & Scheduling Recommendation engine - Most relevant content for this viewer in this context Scheduling engine - „Most likely to be successful“ content on this vector at this time
  • 8. @ReTV_EU Facebook: ReTVeuwww.ReTV-Project.eu Instagram: retv_project TheTVP enables new media professional and media consumer applications. Content Wizard (repurposing) Topic Compass (scheduling) 4U2 (user recommendation) Content sWitch (DAI/DCI) Selects video clips for combination and re-publication, with recommendations for the vector and time, and adaptations of content to that vector. Inserts content or advertising targeted to the viewer, profiled by their (recent) media consumption, into the media stream (e.g. pre-roll to a recording, on channel switch or during the ad break) Visualises popularity of content and topics on different vectors and predicts the future popularity; recommends content for a future vector at a future time. Chatbot to make trending content recommendations to subscribers; provides links to media streams, digital content or future broadcast. Keep ppl watching theTV content!
  • 9. @ReTV_EU Facebook: ReTVeuwww.ReTV-Project.eu Instagram: retv_project TopicsCompass: combine analytics and prediction to inform a more successful content publication strategy Topic Compass (scheduling) Visualise topics which are predicted to be popular on future dates Visualises popularity, polarity and communication success of topics on different vectors. ? It will predict future popularity, polarity and communication success. Visualise associations made in online content with a target (such as aTV program)
  • 10. @ReTV_EU Facebook: ReTVeuwww.ReTV-Project.eu Instagram: retv_project ContentWizard: re-purpose and re-publish content for optimal reach on every channel Content Wizard (repurposing) Publish on the right channel at the right time for the optimal predicted reach. Selects video clips for combination and re-publication, with recommendations for the vector and time, and adaptations of content to that vector. Select content for publication based on predictions of popularity of that content (Topics Compass). Create content summaries based on (a) channel (e.g. video duration limits), (b) topics of interest and (c) purpose.
  • 11. @ReTV_EU Facebook: ReTVeuwww.ReTV-Project.eu Instagram: retv_project 4u2: a chatbot for recommending trending content
  • 12. @ReTV_EU Facebook: ReTVeuwww.ReTV-Project.eu Instagram: retv_project Content sWitch: dynamic insertion of personalised in- stream content
  • 13. The ReTV Stakeholder Forum is your opportunity to engage with us, be first to get updates and have the opportunity to test theTVP and applications! First prototype of theTVP Dashboard is available. Professional user tools will be available (prototypes) July/August 2019. Viewer applications on top ofTVP (recommendation chatbot, dynamic in- stream content placement) will also be tested in July/August 2019
  • 14. @ReTV_EU Facebook: ReTVeuwww.ReTV-Project.eu Instagram: retv_project Dr. Lyndon Nixon ReTV Project Coordinator info@retv-project.eu @ReTV_EU @ReTVeu ReTV Project retv_project