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FromKnowledgeGenerationToScience-basedInnovation
Multimedia Technology Systems
Maria Teresa Andrade
Centre for Telecommunications and Multimedia - INESC TEC
INESC TEC Auditorium| April, 2015
Research and Technological Development | Technology Transfer and Valorisation | Advanced Training |
Consulting
Pre-incubation of Technology-based Companies
14/4/15 Centre for Telecommunications and Multimedia
Representative Research Lines
• Personalisation
• empowering people with the right data at the right
time
• Collaborative Annotation
• involving users to obtain rich, meaningful metadata
and increase content re-usability
14/4/15 Centre for Telecommunications and Multimedia
Research Line Personalisation
!
• innovative solutions for personalised access and
consumption of multimedia content, through:
• context awareness: sensing and reasoning
• content recommendation
• content adaptation
• immersive multi-view experiences
14/4/15 Centre for Telecommunications and Multimedia
Research Line Personalisation
14/4/15 Centre for Telecommunications and Multimedia
Research Line Personalisation
Internet
focus of attention
multiview
server
add metadata
media
repository
(multiple
views +
metadata)
focus of
attention
media
repository
(multiple
views +
metadata)
video
stream
(view C)
2
focus of
attention
4
video
stream
(view R)
5
3
capture multiple views
request
content1
user
request
multiview cient
6
14/4/15 Centre for Telecommunications and Multimedia
Scientific Motivation
• Heterogeneity and globalisation
• Information overload
14/4/15 Centre for Telecommunications and Multimedia
Scientific Motivation
• Facts:
• proliferation of multimedia-enabled devices
• huge amount of multimedia content available online
• user-generated content adding to traditional content providers
• exponential rise of visual content consumption
• 300 hours of video are uploaded to YouTube every
minute
• mobile video traffic will increase 10 times in the next 4 years
• advances in video compression enable higher resolution
formats
• Consequences:
• users are becoming more demanding and want to access
content anytime, anywhere and anyhow
• still, they are overloaded with information
14/4/15 Centre for Telecommunications and Multimedia
Scientific Motivation
• Information overload
!
!
!
!
!
!
!
!
!
!
!
• Let’s prevent this to happen!
14/4/15 Centre for Telecommunications and Multimedia
Objectives
• Further investigate and devise efficient and open solutions
to improve initial results concerning:
• eye gaze based adaptive viewing
• degradation-free and minimal latency switching of views
• context acquisition and inference in mobile devices
• user profiling and clustering
• To look more seriously at aspects related to man-machine
interface and usability
• At a longer term,
• to develop analysis tools and metadata models to enable the
replication of human cognitive experiences across
temporally or spatially remote individuals
14/4/15 Centre for Telecommunications and Multimedia
Milestones
• Robust prototypes for mobile context sensing and inference
(2015-2016)
• Operational prototypes for mobile context-aware
recommendation applied to tourism and to physical health
monitoring (2015-2017)
• Demonstrator for multi-view personalised experiences within
the cultural/tourism domain (2016-2018)
• Initial and consolidated prototypes for context-aware multi-
view remote monitoring of cultural heritage sites/
monuments (2017-2018, 2018-2020)
• metadata model and tools for sensing, representing and
reproducing multi-sensorial real-life experiences (2016-2020)
14/4/15 Centre for Telecommunications and Multimedia
Application Areas
!
• TV consumption
• Mobile multimedia consumption
• Tourism
• Assisted living
• Remote (Collaborative) Work
• Remote monitoring
• of cultural heritage sites
• etc.
14/4/15 Centre for Telecommunications and Multimedia
Application Areas
14/4/15 Centre for Telecommunications and Multimedia
Application Areas
14/4/15 Centre for Telecommunications and Multimedia
Research Line Collaborative Annotation
!
• Based on concepts of crowdsourcing and Games With
a Purpose (GWAP) to motivate players
• users get involved through competition
• most popular and accurate tags are the ones
preserved
• use of validation and scoring mechanisms to
award players based on their success
• enabling to associate tags with time instants
14/4/15 Centre for Telecommunications and Multimedia
Research Line Collaborative Annotation
14/4/15 Centre for Telecommunications and Multimedia
Research Line Collaborative Annotation
14/4/15 Centre for Telecommunications and Multimedia
Scientific Motivation
• Content without metadata is as good as if it didn't exist
• Annotation is a time consuming task and
• when performed by humans has a high degree of
subjectiveness
• additionally, most users will not tag their content
• when performed by machines is not 100% reliable
• In most cases, video does not keep its semantic
characteristics throughout its entire duration
• Collaborative approach decreases costs and time required
for annotation
• and enables to retain useful and popular tags whilst
considering the temporal dimension
14/4/15 Centre for Telecommunications and Multimedia
Objectives
!
• To further investigate the addressed topics to
improve:
• efficiency of search and content analysis
• accuracy of algorithms to validate inserted tags
• To research human-machine aspects aiming at
developing non-intrusive and appealing forms of
presenting content to users
14/4/15 Centre for Telecommunications and Multimedia
Application Areas
!
• Video Archives
• Multimedia Content Management
• Metadata for Broadcasters
• Museums and cultural institutions
• Education
14/4/15 Centre for Telecommunications and Multimedia
Milestones
!
• Benchmarking the proposed approach against
traditional annotation methods (2015-2016)
• Creation of a test bed with an external partner from
the media content industry (2015-2017)
• assessing the adequacy of proposed method with
real users
• Implementation of an operational prototype for a
concrete multimedia archive (2016-2018)
14/4/15 Centre for Telecommunications and Multimedia
Partners
• Internal partners
– CTM, Information Processing and Pattern Recognition Area (2013 - …)
– audio, image and video analysis
– machine learning applied to A/V analysis
– CSIG (2014 - 2015 and beyond)
– Information Systems, GUI, GIS
– LIAAD (2013-2014 and beyond)
– data mining in social networks
• External partners
– Faculdade de Ciência e Tecnologia da UNL, Universidade de Lisboa,
IST, Loughborough University in London (LUiL), CNIT, CNR
– Publico, RTP, Cinemateca, Nonius
14/4/15 Centre for Telecommunications and Multimedia
Equipment
• smart TV
• servers for running intensive processing tasks such as
A/V analysis, user profiling, data analysis for content
characterisation and context inference
• 360° video camera
14/4/15 Centre for Telecommunications and Multimedia
Relationship with Tec4…
!
– Both research lines are aligned with Tec4Media
– Contributions in the form of
– identification of requirements and application areas
– exploratory work through MSc
– more advanced research through PhD
– elaboration of project proposals
14/4/15 Centre for Telecommunications and Multimedia
Key Performance Indicators (until 2020)
• Publications
• Journals: 10
• MSc thesis: 15
• PhD: 3/4
• Organisation of international conferences: 5 (workshop in ACM
Multimedia; tentative workshop in IEEE ICME or IEEE ISM)
• Projects
– FCT: 2
– EU: 3/4
– Portugal 2020: 4/6
– Direct contracts: 2/4
– Other: MAT follow-up (ON2)
FromKnowledgeGenerationToScience-basedInnovation
Centre for Telecommunications and Multimedia - INESC TEC
INESC TEC Auditorium| April, 2015
Research and Technological Development | Technology Transfer and Valorisation | Advanced Training |
Consulting
Pre-incubation of Technology-based Companies
Multimedia Technology Systems
Thank you very much for your attention!
!25

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mm-ctm-2015-bestQuality

  • 1. FromKnowledgeGenerationToScience-basedInnovation Multimedia Technology Systems Maria Teresa Andrade Centre for Telecommunications and Multimedia - INESC TEC INESC TEC Auditorium| April, 2015 Research and Technological Development | Technology Transfer and Valorisation | Advanced Training | Consulting Pre-incubation of Technology-based Companies
  • 2. 14/4/15 Centre for Telecommunications and Multimedia Representative Research Lines • Personalisation • empowering people with the right data at the right time • Collaborative Annotation • involving users to obtain rich, meaningful metadata and increase content re-usability
  • 3. 14/4/15 Centre for Telecommunications and Multimedia Research Line Personalisation ! • innovative solutions for personalised access and consumption of multimedia content, through: • context awareness: sensing and reasoning • content recommendation • content adaptation • immersive multi-view experiences
  • 4. 14/4/15 Centre for Telecommunications and Multimedia Research Line Personalisation
  • 5. 14/4/15 Centre for Telecommunications and Multimedia Research Line Personalisation Internet focus of attention multiview server add metadata media repository (multiple views + metadata) focus of attention media repository (multiple views + metadata) video stream (view C) 2 focus of attention 4 video stream (view R) 5 3 capture multiple views request content1 user request multiview cient 6
  • 6. 14/4/15 Centre for Telecommunications and Multimedia Scientific Motivation • Heterogeneity and globalisation • Information overload
  • 7. 14/4/15 Centre for Telecommunications and Multimedia Scientific Motivation • Facts: • proliferation of multimedia-enabled devices • huge amount of multimedia content available online • user-generated content adding to traditional content providers • exponential rise of visual content consumption • 300 hours of video are uploaded to YouTube every minute • mobile video traffic will increase 10 times in the next 4 years • advances in video compression enable higher resolution formats • Consequences: • users are becoming more demanding and want to access content anytime, anywhere and anyhow • still, they are overloaded with information
  • 8. 14/4/15 Centre for Telecommunications and Multimedia Scientific Motivation • Information overload ! ! ! ! ! ! ! ! ! ! ! • Let’s prevent this to happen!
  • 9. 14/4/15 Centre for Telecommunications and Multimedia Objectives • Further investigate and devise efficient and open solutions to improve initial results concerning: • eye gaze based adaptive viewing • degradation-free and minimal latency switching of views • context acquisition and inference in mobile devices • user profiling and clustering • To look more seriously at aspects related to man-machine interface and usability • At a longer term, • to develop analysis tools and metadata models to enable the replication of human cognitive experiences across temporally or spatially remote individuals
  • 10. 14/4/15 Centre for Telecommunications and Multimedia Milestones • Robust prototypes for mobile context sensing and inference (2015-2016) • Operational prototypes for mobile context-aware recommendation applied to tourism and to physical health monitoring (2015-2017) • Demonstrator for multi-view personalised experiences within the cultural/tourism domain (2016-2018) • Initial and consolidated prototypes for context-aware multi- view remote monitoring of cultural heritage sites/ monuments (2017-2018, 2018-2020) • metadata model and tools for sensing, representing and reproducing multi-sensorial real-life experiences (2016-2020)
  • 11. 14/4/15 Centre for Telecommunications and Multimedia Application Areas ! • TV consumption • Mobile multimedia consumption • Tourism • Assisted living • Remote (Collaborative) Work • Remote monitoring • of cultural heritage sites • etc.
  • 12. 14/4/15 Centre for Telecommunications and Multimedia Application Areas
  • 13. 14/4/15 Centre for Telecommunications and Multimedia Application Areas
  • 14. 14/4/15 Centre for Telecommunications and Multimedia Research Line Collaborative Annotation ! • Based on concepts of crowdsourcing and Games With a Purpose (GWAP) to motivate players • users get involved through competition • most popular and accurate tags are the ones preserved • use of validation and scoring mechanisms to award players based on their success • enabling to associate tags with time instants
  • 15. 14/4/15 Centre for Telecommunications and Multimedia Research Line Collaborative Annotation
  • 16. 14/4/15 Centre for Telecommunications and Multimedia Research Line Collaborative Annotation
  • 17. 14/4/15 Centre for Telecommunications and Multimedia Scientific Motivation • Content without metadata is as good as if it didn't exist • Annotation is a time consuming task and • when performed by humans has a high degree of subjectiveness • additionally, most users will not tag their content • when performed by machines is not 100% reliable • In most cases, video does not keep its semantic characteristics throughout its entire duration • Collaborative approach decreases costs and time required for annotation • and enables to retain useful and popular tags whilst considering the temporal dimension
  • 18. 14/4/15 Centre for Telecommunications and Multimedia Objectives ! • To further investigate the addressed topics to improve: • efficiency of search and content analysis • accuracy of algorithms to validate inserted tags • To research human-machine aspects aiming at developing non-intrusive and appealing forms of presenting content to users
  • 19. 14/4/15 Centre for Telecommunications and Multimedia Application Areas ! • Video Archives • Multimedia Content Management • Metadata for Broadcasters • Museums and cultural institutions • Education
  • 20. 14/4/15 Centre for Telecommunications and Multimedia Milestones ! • Benchmarking the proposed approach against traditional annotation methods (2015-2016) • Creation of a test bed with an external partner from the media content industry (2015-2017) • assessing the adequacy of proposed method with real users • Implementation of an operational prototype for a concrete multimedia archive (2016-2018)
  • 21. 14/4/15 Centre for Telecommunications and Multimedia Partners • Internal partners – CTM, Information Processing and Pattern Recognition Area (2013 - …) – audio, image and video analysis – machine learning applied to A/V analysis – CSIG (2014 - 2015 and beyond) – Information Systems, GUI, GIS – LIAAD (2013-2014 and beyond) – data mining in social networks • External partners – Faculdade de Ciência e Tecnologia da UNL, Universidade de Lisboa, IST, Loughborough University in London (LUiL), CNIT, CNR – Publico, RTP, Cinemateca, Nonius
  • 22. 14/4/15 Centre for Telecommunications and Multimedia Equipment • smart TV • servers for running intensive processing tasks such as A/V analysis, user profiling, data analysis for content characterisation and context inference • 360° video camera
  • 23. 14/4/15 Centre for Telecommunications and Multimedia Relationship with Tec4… ! – Both research lines are aligned with Tec4Media – Contributions in the form of – identification of requirements and application areas – exploratory work through MSc – more advanced research through PhD – elaboration of project proposals
  • 24. 14/4/15 Centre for Telecommunications and Multimedia Key Performance Indicators (until 2020) • Publications • Journals: 10 • MSc thesis: 15 • PhD: 3/4 • Organisation of international conferences: 5 (workshop in ACM Multimedia; tentative workshop in IEEE ICME or IEEE ISM) • Projects – FCT: 2 – EU: 3/4 – Portugal 2020: 4/6 – Direct contracts: 2/4 – Other: MAT follow-up (ON2)
  • 25. FromKnowledgeGenerationToScience-basedInnovation Centre for Telecommunications and Multimedia - INESC TEC INESC TEC Auditorium| April, 2015 Research and Technological Development | Technology Transfer and Valorisation | Advanced Training | Consulting Pre-incubation of Technology-based Companies Multimedia Technology Systems Thank you very much for your attention! !25