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Perfect Memory Media Asset Management MAM of Audiovisual Big Data @ Radio 2.0 2013

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presentation of Perfect Memory Media Asset Management MAM of Audiovisual Big Data @ Radio 2.0 2013 ...

presentation of Perfect Memory Media Asset Management MAM of Audiovisual Big Data @ Radio 2.0 2013
Par Steny Solitude, CEO & Frédéric Colomina, COO

‘Radio Augmentée et Publicité’ : La 3ème édition des Rencontres Radio 2.0 a eu lieu le 15 Octobre à l’INA Paris
Toutes les infos sur : www.rr20.fr/

250 professionnels / 50 intervenants
10 keynotes / 3 tables rondes / 12 workshops
Grands Prix Radio 2.0 / La Radio des Rencontres

L’objectif de ces Rencontres est de participer au développement du secteur de la radio 2.0 à travers un événement qui regroupe des professionnels autour de présentations, débats, workshops et de partage d’expériences.

Cette journée (6ème édition entre la France et l’Espagne) est également l’occasion de communiquer autour de la radio 2.0 afin de mettre en valeur ses qualités à la fois en termes d’innovation, d’opportunités économique et créatives.

3 grands sujets au programme en 2013 :
- Social radio & Transmedia : Quelle forme de narration transmedia attendent les auditeurs connectés sur les réseaux ?
- Radio augmentée et Second Ecran : Comment enrichir l’expérience audio des auditeurs sur toutes les plateformes, sur tous les écrans ?
- Musique et Publicité : Comment la musique, territoire des marques, est-elle préemptée par les annonceurs ?

Ces rencontres professionnelles s’adressent à l’ensemble des acteurs du secteur :
- Editeurs de services de radio en ligne (FM, webradios, agrégateurs), plateformes de streaming, fournisseurs de services audio en ligne
- Agences média, studio de création, régies publicitaires, annonceurs
- Fournisseurs de technologies et des services, consultants, experts, développeurs, chercheurs
- Institutionnels, investisseurs et journalistes/influenceurs

Date : 15 octobre 2013, à l’INA, 83 rue Patay 75013 Paris. M° 14 – Biblio F Mitterrand
Co-organisées par Actuonda, AdsRadios, INA Expert
- Partenaires Platinum : Visiware, Civolution
- Partenaires Gold : Médiamétrie, Kantar Média, Radio France, Le Mouv', Deezer, Spotify, Music Story, Triton Digital
- Partenaires Média : La Lettre Pro de la Radio, Offremedia, Frenchweb, Satellinet, Media+ Edition Multimedi@, RadioPub
- Partenaire Grands Prix : Adswizz
- La Radio des Rencontres : Mediameeting, Save Diffusion, Wheatstone, Multicam Systems
- Autres Partenaires : Radioline, Radionomy, Bobler, Havas Media, la SACEM, Le Salon de la Radio

Pour rester informé, suivez-nous sur :
Twitter @Radio_20 : twitter.com/Radio_20
Facebook Radio20Paris : www.facebook.com/radio20paris/
linkedIn Groupe Radio 2.0 : www.linkedin.com/groups?about&…k=anet_ug_grppro

Pour plus d'information contactez Nicolas Moulard (Actuonda) moulard@actuonda.com

Site web : www.rr20.fr/

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  • 1. The Semantic Middleware : Media Asset Management of the Audiovisual Big Data New users experience, New content valorization, New business Model, New ROI 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. Summary of strategic needs Content owners need to exploit the information in order to maintain and develop its leadership: • Analyze any source of information • Decide using the context of the information • Learn from decisions and improve decisions In that case, the goal is not to extract hidden data in the audiovisual content but exploit all information available to the content owner in order to take the right decisions and learn on the result of decision. Be limited to the extract of information would be an error. 1 INGEST content 2 • Company programs •Competitors programs EXTRACT information 3 •Audio analysis •Video analysis •Log analysis STRUCTURE information Sources 4 •Categorize •Link •Map EXPLOIT information • Analyse • Decide • Learn • Value Goal & Need Means 11/11/2013 © PERFECT MEMORY - CONFIDENTIAL 2
  • 3. Summary of functional needs During our conversations we have identified that content owners need to: • Extract information from the audiovisual content (speech to text, video analysis, content classification), • Ingest & analyze various broadcast channels, • Be autonomous in term of platform configuration, enrichment and monitoring, STRUCTURE information •Categorize •Link •Map EXPLOIT information • Analyse • Decide • Learn • Value Being autonomous ! 11/11/2013 © PERFECT MEMORY - CONFIDENTIAL 3
  • 4. 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 INTRODUCING PERFECT MEMORY'S OFFER 4
  • 5. 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, • Seamless to any installed applications, and communicating with them, • Operating inside the global and secured intranet of our client. • Transferable platform INTRODUCING PERFECT MEMORY'S OFFER 5
  • 6. Media Challenge : New needs INTRODUCING PERFECT MEMORY'S OFFER 6
  • 7. Media Challenge : new comers The Media-brands INTRODUCING PERFECT MEMORY'S OFFER 7
  • 8. RTBF and Radio France Business Cases RTBF and Radio France Profiles The customers are broadcasters that: • Produces and buy TV and/or radio programs (documentaries, shows, fictions), • Broadcasts TV and/or radio programs and live shows and events, • Archives the broadcasted content, • Sells advertisement time slots. Twenty different specialized MAMs are running to ensure each of this tasks. The Headquarter of technologies and exploitation needs to fix the: 1. Lack of description of their content 2. Difficulty to access the content scattered in the different MAMs (Media Asset Management Systems) 3. Poor ROI on the digital exploitation of media 11/11/2013 INTRODUCING PERFECT MEMORY'S OFFER 8
  • 9. RTBF and Radio France Business Cases The expectations The customers expectations: 1. Provide to its archivists and journalists an unique access point to search the content stored in the MAMs 2. Lower the cost of indexing the multimedia content 3. Provide a solution for the controlled annotation of the multimedia content 4. Enrich the content 5. Structure the content with a global model available upon all the MAMs 11/11/2013 INTRODUCING PERFECT MEMORY'S OFFER 9
  • 10. RTBF and Radio France Business Cases Main facts … generating deep archives issue …. Lost opportunities … and management issue Waste of time INTRODUCING PERFECT MEMORY'S OFFER 10
  • 11. RTBF and Radio France Business Cases A three steps project Step 1 Data model configuration Step 2 Audit of customer’s data model Customize Perfect Memory’s ontology and Knowledge base Platform configuration Step 3 Delivery List of module to activate List of MAM to connect List of front-end to activate Involving the CDO* Deployment of the Semantic Middleware Training and autonomization of customers team Exploitation by the archivists and journalists Involving the final users Involving the CTO *Chief Data Officer 11/11/2013 INTRODUCING PERFECT MEMORY'S OFFER 11
  • 12. Business Cases Belgavox Belgavox’s global Market Place Belgavox is a belgium archivist that: • Archives the content, • Sells its inventory. Belgavox needs to: 1. Develop the traction of its inventory, 2. Expose the entirety of its inventory, 3. Develop new monetization channels. 11/11/2013 INTRODUCING PERFECT MEMORY'S OFFER 12
  • 13. RTBF and Radio France Business Cases Semantic Media Asset Management of Inventory The customers expectations: 1. Become a media-brand 2. Set a market place and connect any potential customers on its inventory 11/11/2013 INTRODUCING PERFECT MEMORY'S OFFER 13
  • 14. RTBF and Radio France Business Cases A three steps project Step 1 Data model configuration Step 2 Audit Belgavox’s data model Customize Perfect Memory’s ontology and Knowledge base Platform configuration Step 3 List of module to activate Connection to Belgavox’s repository Delivery Step 4 Deployment of the Semantic Middleware Monetization Belgavox Market Place Training and autonomization of Belgavox’s team $ List of front-end to activate Involving the CDO* Involving the final users Involving the CTO Involving the market *Chief Data Officer 11/11/2013 INTRODUCING PERFECT MEMORY'S OFFER 14
  • 15. RTBF Annotation & search interfaces Features: Breakthrough user friendly interface for big data visualization Graphical browsing in big data content (media and metadata) INTRODUCING PERFECT MEMORY'S OFFER 15
  • 16. Radio France Tablet Interface Building the contextualization of the display according to the Role and Skill of the connected user.
  • 17. RTBF and Radio France Business Cases Administration of the Semantic Middleware ► Monitoring the process on the semantic middleware (ex: master and proxies creation via semantic rules, semantic enrichment on STT, publication on the semantic player, etc.)
  • 18. Expertise & know-how Semantic is not a goal, but just a new tool that has to be used only where it is usefull ! User Interface USAGE 360° Rendering PUBLISHING Inference rules ENRICHMENT Semantic Data PRODUCTION, INGEST Ontology & knowledge base MODELING INTRODUCING PERFECT MEMORY'S OFFER 18
  • 19. Linked Open Media Media Library Linked Open Data The semantic middleware Links know-how LINKS KNOWLEDGE THE PLAYER INTRODUCING PERFECT MEMORY'S OFFER 19
  • 20. Perfect Memory … is happy to introduce its Semantic middleware. INTRODUCING PERFECT MEMORY'S OFFER 20
  • 21. The PROFILE : knowledge capitalization Your Data Structure Your Media Library Linked Open Data YOUR KNOWLEDGE INTRODUCING PERFECT MEMORY'S OFFER 21
  • 22. An architecture scalable, distributed Introducing the Semantic Middleware (1) (1) The Heart inludes the Knowledge base features, and the OAIS functionalities SEMANTIC PLAYER (2) (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 YOUR APPLICATION (3) INTRODUCING PERFECT MEMORY'S OFFER 22
  • 23. Content analysis & knowledge extraction In addition to Storage and acquisitions (ingest) capacities the Semantic Middleware can be connected (via IOW) with Media indexing features The Semantic Middleware n° IOW Name 1 Semantic DB, Knowledge Mapping, Inference Rules LOD retrieval 2 Ingest MAM 3 Ingest stream 6 Storage 8 Preservation OAIS 9 Acquistion of content (audio, video, texte) 10 Media Transcoding 11 Sequence generation 12 Automatic editing 13 Sound Processing 14 Video Processing 19 Manuel Indexing 20 Classification 21 Semantic Player - Restitution WEB 22 IPAD Player – IOS 24 Media Shopping Basket 25 Push & Pull on alarm 28 FONCTIONNALITY Global Market Place Semantic Management Acquisition Storage A list of actual functionalities includes the features above. Media Processing Media Indexing But, any other existing external modules with an open API can be connected by the IOW. Browsing Value & Monetization INTRODUCING PERFECT MEMORY'S OFFER 23
  • 24. The Middleware features … Before • Automatic linking with external related contents, • Automatic knowledge validation, • Cross-browsing in broadcasters’ MAMs. After Media Processing INTRODUCING PERFECT MEMORY'S OFFER 24
  • 25. From Raw Data to linked Knowledge 1. 2. 3. Automatic audio & video analysis Automatic enhancement from flat to EBU* Core compliant models, Automatic semantic enrichment of MAM contents INTRODUCING PERFECT MEMORY'S OFFER 25
  • 26. Linked Open Media Media Library Linked Open Data The semantic middleware Links know-how LINKS KNOWLEDGE THE PLAYER INTRODUCING PERFECT MEMORY'S OFFER 26
  • 27. Graphical Interface are 360° 360° Access – Tablets, Smart TV, Browser & Smartphones multi-context, multi-platform, multi-role and skills INTRODUCING PERFECT MEMORY'S OFFER 27
  • 28. Flexibility & scalability of the middleware Control Expressivity Enrichment Extraction
  • 29. Added values Cost reduction of information collection • Semantic Enrichment and enhancement (Linked Open Data) • Data base alignment – Structuration of unstructured data • Assisted and collaborative indexing (Validated Tagging) • Auto-indexing along selected Types • Fine named entities recognition thanks from semantic contextualisation • Self learning process (Inference) Distributed process management • Traceability & monitoring of the process (Open Semantic Bus) • Linking & Interoperability of independent process (Interoperability Wicket) Mapping of assets • Explicit characterization and self generation of the links between assets (predicat management) • Listing & preservation of critical data (Knowledge base) Multi-axial exploitation of the media • Multi-platform publication • Contextualized rendering of data INTRODUCING PERFECT MEMORY'S OFFER 29
  • 30. Value generation & Cost reduction Flat information is enhanced as a Knowledge The contents are now automatically indexed and self enriched The cost of processing is reduced by 20 today The automatic event trigger enhances revenue from the automatic extraction and communication of pertinent information Native advertising is possible possible at any levels of the content Unique Identifier is resolved according to the OAIS and EBU Core Standards INTRODUCING PERFECT MEMORY'S OFFER 30
  • 31. Deployment in 4 steps Deployment process : The 4 steps … Semantic profile Audit Needs Ontology User scenarios Knowledge base Architecture Modeles of Data bases Configuration Specific ingest InterOperability windows configuration Intégration & Deployment Test & delivery Delivery within 4 to 6 months 1 Month 1 to 2 Months 2 Months In situ work INTRODUCING PERFECT MEMORY'S OFFER 1 Month 31
  • 32. They choose Perfect Memory They decided to choose Perfect Memory and are now extending their Middleware … INTRODUCING PERFECT MEMORY'S OFFER 32
  • 33. Perfect Memory – The Team INTRODUCING PERFECT MEMORY'S OFFER 33
  • 34. 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 INTRODUCING PERFECT MEMORY'S OFFER 34
  • 35. The Semantic Middleware : Media Asset Management of the Audiovisual Big Data New users experience, New content valorization, New business Model, New ROI Steny Solitude CEO Steny.solitude@perfect-memory.com @perfect__memory Frédéric Colomina Business Development Frederic.colomina@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
  • 36. III Rencontres RADIO 2.0 Paris Radio Augmentée & Publicité www.rr20.fr 15 oct 2013 @ Ina Paris 250 professionnels / 50 intervenants 10 keynotes / 3 tables rondes / 12 workshops Grands Prix Radio 2.0 / La Radio des Rencontres Partenaires Platinum : Organisateurs : Nicolas Moulard moulard@actuonda.com Xavier Filliol xavier@octet.com