Big Data, Big Media
THE NEW PARADIGM OF THE MULTIMEDIA CONTENT MANAGEMENT
Semtech top 10 startup of 2013
IBC Award for « C...
Perfect Memory – The Team
2BIG DATA - BIG MEDIA
Perfect Memory – The eco-system
Registered in 2008, a Ltd with 245 K€ capital
Funded by SOFIMAC Partner a major investor i...
The context of Big Data
Big Data is a buzz word that hide different realties :
- Volume issue (data volume, media volume),...
The context of Big Data
Volume is an old issue :
- Upstream: Require to solve the administration, the exploitation and the...
Facts…
1. Multi media contents are growing massively
2. Media inventories are managed by heterogeneous systems
3. Indexati...
Facts…
… generating deep archives issue ….
Main facts
Lost opportunities
… and management issue
Waste of time
7BIG DATA - ...
Media Challenge : New needs
8BIG DATA - BIG MEDIA
Media Challenge : new comers
The Media-brands
9BIG DATA - BIG MEDIA
Summary of functional needs
During our conversations we have identified the needs to:
• Structure the content using opened...
Summary of our solution
The semantic middleware is :
• Natively compliant to the main media standards (EBU Core, FIMS, OAI...
Semantic layer cake
From modeling to exploitation
User Interface
USAGE
360° Rendering
PUBLISHING
Inference rules
ENRICHMEN...
Semantic valorization
Why?
• From DATA to information
• Understand information and build the
knowledgeknowledge
• Provide ...
Semantic valorization
Bring semantic to the media
Data Info
Knowledge
2 persons, face to face, smiling and laughing
Semant...
Enhancement & Enrichment
From flat to rich content
ENTITY « Organisation »
URI: MMC#RTBF#6756593
Name : RTBF
ENTITY « Pers...
Inference
Perfect Memory’s data bases :
• Increasing of amount of information in time,
• Increasing of quality of links in...
Exploiting the knowledgeExploiting the knowledge
From Pr. Bachimont – University of Technology of Compiègne
Le 09/10/2013 ...
Linked Open Data
Consolidating the distributed knowledge
RTBF
18BIG DATA - BIG MEDIA
Process management
OSB workers
InterOp-Window
A service on the OSB
1. Manager: Identification of request
2. Manager: Main ...
Semantic Player
Rendering the semantic links
InterOp-Guichet
Player SémantiqueNetworkNetwork
OSB OSB
OSB OSB
Enhancement, ...
An architecture scalable, distributed
Introducing the Semantic Middleware approach
SEMANTIC
PLAYER
(1) The Heart inludes t...
Flexibility & scalability of the middleware
Control Enrichment
Extraction
Expressivity
Le 09/10/2013 22BIG DATA - BIG MEDIA
RTBF Annotation & search interfaces
Features:
Breakthrough user friendly interface for big data visualization
Graphical br...
Radio France Tablet Interface
Connection:
Building the contextualization of the display according to the Role and Skill of...
The PROFILE : knowledge capitalization
YourYour Data StructureData Structure
YourYour Media LibraryMedia Library Linked Op...
The Middleware features …
• Automatic linking with external related contents,
BeforeBefore
After
•
• Automatic knowledge v...
The semantic middleware approach
Le 09/10/2013 BIG DATA - BIG MEDIA 27
BIG DATA – BIG MEDIA
THE NEW PARADIGM OF THE MULTIMEDIA CONTENT MANAGEMENT
Frédéric Colomina
Business Development
Frederic...
Organizadores Sponsor platinum
Sponsor Gold Con el apoyo de Socio tecnológico
Nicolas Moulard, Director de Actuonda
moular...
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Big Data Big Media the new paradigm of multimedia content management with Perfect Memory at Big Media by Actuonda

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Big Data Big Media the new paradigm of multimedia content management with Perfect Memory

Primer encuentro BIG MEDIA
Conectando Media, Audiencia y Publicidad con Datos
24 de junio 2014, Madrid
• Sponsor Platinum : Perfect Memory
• Sponsor Gold : Stratio, Paradigma
• Con el apoyo de : Big Data Spain, Medios On
• Socio tecnológico : Agora News
• Organizadores : Actuonda y Cátedra Big Data UAM-IBM
• Contacto : Nicolas Moulard (Actuonda) moulard@actuonda.com @Radio_20
www.bigmediaconnect.es

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Big Data Big Media the new paradigm of multimedia content management with Perfect Memory at Big Media by Actuonda

  1. 1. Big Data, Big Media THE NEW PARADIGM OF THE MULTIMEDIA CONTENT MANAGEMENT Semtech top 10 startup of 2013 IBC Award for « Content management » 2013 IBC Award for technology « Who caught my eye looking for blue skies » of IBC 2013 @perfect__memory http://perfect-memory.com
  2. 2. Perfect Memory – The Team 2BIG DATA - BIG MEDIA
  3. 3. Perfect Memory – The eco-system Registered in 2008, a Ltd with 245 K€ capital Funded by SOFIMAC Partner a major investor in France Deploying for Media, Media-Trade, Archivers and Big Companies Expert in management, indexation, and of monetization of mass volumes of Multi Media Owning a unique Middleware process transforming raw data into Knowledge 3BIG DATA - BIG MEDIA
  4. 4. The context of Big Data Big Data is a buzz word that hide different realties : - Volume issue (data volume, media volume), - Interoperability that serves the ubiquity of the content (anywhere, anytime, anybody), - Diversity of sources (MAM, DB, internal, external, structured, unstructured). Deals with volume, ubiquity and diversity Le 09/10/2013 BIG DATA - BIG MEDIA 4
  5. 5. The context of Big Data Volume is an old issue : - Upstream: Require to solve the administration, the exploitation and the indexing of the content, - Downstream: provide mapping and representation of the content. A posteriori, analytics, Data mining Health, Oil, Retail (see the the diaper & beer case) Interoperability is a consequence of the raising of the Internet: - Cooperation, communities, coworking, - It requires standards (XML Schema, MPEG 4,7,21, MXF, OAIS, RDF. Deals with volume, ubiquity and diversity - It requires standards (XML Schema, MPEG 4,7,21, MXF, OAIS, RDF. A priori, structuration of the content Media New movie workflow (production to distribution) Diversity of sources: - Structuration, meaning, - Linked data. A priori, knowledge processing Media, industrie, Education Web 3.0 paradigm (Semantic, LOD, Open Data) Le 09/10/2013 BIG DATA - BIG MEDIA 5
  6. 6. Facts… 1. Multi media contents are growing massively 2. Media inventories are managed by heterogeneous systems 3. Indexation, if done, is mainly done manually - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Media 2000 2005 ∞∞ Media Asset Management Systems time 6BIG DATA - BIG MEDIA
  7. 7. Facts… … generating deep archives issue …. Main facts Lost opportunities … and management issue Waste of time 7BIG DATA - BIG MEDIA
  8. 8. Media Challenge : New needs 8BIG DATA - BIG MEDIA
  9. 9. Media Challenge : new comers The Media-brands 9BIG DATA - BIG MEDIA
  10. 10. Summary of functional needs During our conversations we have identified the needs to: • Structure the content using opened and documented standards, • Link, enrich & index the massive volumes of Contents, • Browse inside the massive volumes of Contents, • Manage the content all along its life cycle, • Monetize & Value the content. • Become autonomous in the administration of the knowledge and its infrastructure • Being flexible in term of strategy of knowledge management • Avoid starting from scratch 10BIG DATA - BIG MEDIA
  11. 11. Summary of our solution The semantic middleware is : • Natively compliant to the main media standards (EBU Core, FIMS, OAIS,…) • Providing a media mapping manager (multiple instances of items handling), • A non intrusive, scalable and flexible platform, • Self learning, opened to other modules and functionalities, • Transferable platform 11BIG DATA - BIG MEDIA
  12. 12. Semantic layer cake From modeling to exploitation User Interface USAGE 360° Rendering PUBLISHING Inference rules ENRICHMENT Semantic Data PRODUCTION, INGEST Ontology & knowledge base MODELING 12BIG DATA - BIG MEDIA
  13. 13. Semantic valorization Why? • From DATA to information • Understand information and build the knowledgeknowledge • Provide solutions to value the content. 13BIG DATA - BIG MEDIA
  14. 14. Semantic valorization Bring semantic to the media Data Info Knowledge 2 persons, face to face, smiling and laughing Semantic system Data Info Knowledge 2 persons, face to face, smiling and laughing • Samuel L. Jackson (Person) • Leonardo DiCaprio (Person) • Thumbnail from “Django unchained” • Quentin Tarantino behind the camera 14BIG DATA - BIG MEDIA
  15. 15. Enhancement & Enrichment From flat to rich content ENTITY « Organisation » URI: MMC#RTBF#6756593 Name : RTBF ENTITY « Person » URI: MMC#RTBF#67554778 Name : Barthe First name: François ENTITY « Person » URI: MMC#RTBF#6753 Name : Zidane First name: Zinedine « Works for » « Talk about » Enrichment3 Enhancement semantic 2Table « Person » Id : #67554778 Name : Barthe First name: François Employer : RTBF Description : > Worked on Zidane’s bio. 1 ENTITY « Person » URI: MMC#RTBF#67554778 Name : Barthe First name : François Description : > Worked on Zidane’s bio. ENTITY « Organisation » URI: MMC#RTBF#6756593 Name : RTBF « Work for » for » semantic Enrichment semantic 3 Le 09/10/2013 15BIG DATA - BIG MEDIA
  16. 16. Inference Perfect Memory’s data bases : • Increasing of amount of information in time, • Increasing of quality of links in time. Preserve, enrich and sharing of knowledge. Capitalisation of knowledge Semantic Inference 4 Semantic negentropic DB News facts Inference rules 16BIG DATA - BIG MEDIA
  17. 17. Exploiting the knowledgeExploiting the knowledge From Pr. Bachimont – University of Technology of Compiègne Le 09/10/2013 17BIG DATA - BIG MEDIA
  18. 18. Linked Open Data Consolidating the distributed knowledge RTBF 18BIG DATA - BIG MEDIA
  19. 19. Process management OSB workers InterOp-Window A service on the OSB 1. Manager: Identification of request 2. Manager: Main process instantation 3. Manager: Sub process instantiation 4. Manager :Tasks instantiation 5. Manager: IOW calls 6. Guichets#1 : Execution of tasks and works 7. … 8. Guichets#n : Execution of tasks and works Treatment request 8. Guichets#n : Execution of tasks and works 19BIG DATA - BIG MEDIA
  20. 20. Semantic Player Rendering the semantic links InterOp-Guichet Player SémantiqueNetworkNetwork OSB OSB OSB OSB Enhancement, Repurposing & Exploitation of audiovisual contents. 20BIG DATA - BIG MEDIA
  21. 21. An architecture scalable, distributed Introducing the Semantic Middleware approach SEMANTIC PLAYER (1) The Heart inludes the Knowledge base features, and the OAIS functionalities (1) (2) YOUR APPLICATION (2) The BUS, 100% compliant to EBUCore, becomes the backbone of the middleware (3) Any Bases ingested, or functionalities connected via an InteOperability Windows (GIO) becomes a semantic ressource for the Middleware (2) (3) 21BIG DATA - BIG MEDIA
  22. 22. Flexibility & scalability of the middleware Control Enrichment Extraction Expressivity Le 09/10/2013 22BIG DATA - BIG MEDIA
  23. 23. RTBF Annotation & search interfaces Features: Breakthrough user friendly interface for big data visualization Graphical browsing in big data content (media and metadata) 23BIG DATA - BIG MEDIA
  24. 24. Radio France Tablet Interface Connection: Building the contextualization of the display according to the Role and Skill of the connected user. 24Big Data - Big Media
  25. 25. The PROFILE : knowledge capitalization YourYour Data StructureData Structure YourYour Media LibraryMedia Library Linked Open DataLinked Open Data YOURYOUR KNOWLEDGEKNOWLEDGE 25BIG DATA - BIG MEDIA
  26. 26. The Middleware features … • Automatic linking with external related contents, BeforeBefore After • • Automatic knowledge validation, • Cross-browsing in broadcasters’ MAMs. After Media Processing 26BIG DATA - BIG MEDIA
  27. 27. The semantic middleware approach Le 09/10/2013 BIG DATA - BIG MEDIA 27
  28. 28. BIG DATA – BIG MEDIA THE NEW PARADIGM OF THE MULTIMEDIA CONTENT MANAGEMENT Frédéric Colomina Business Development Frederic.colomina@perfect-memory.com @perfect__memory Steny Solitude CEO Steny.solitude@perfect-memory.com @perfect__memory Semtech top 10 startup of 2013 IBC Award for « Content management » 2013 IBC Award for technology « Who caught my eye looking for blue skies » of IBC 2013 @perfect__memory http://perfect-memory.com
  29. 29. Organizadores Sponsor platinum Sponsor Gold Con el apoyo de Socio tecnológico Nicolas Moulard, Director de Actuonda moulard@actuonda.com Tel : +34 699 248 200 @Radio_20 www.bigmediaconnect.es

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