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 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

  • 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 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

  • 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

  • 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

  • Facts

    1.Multi media contents are growing massively

    2.Media inventories are managed by heterogeneous systems

    3. Indexation, if done, is mainly donemanually

    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

    Media2000 2005

    Media Asset Management Systems

    time

    6BIG DATA - BIG MEDIA

  • Facts

    generating deep archives issue .

    Main facts

    Lost opportunities

    and management issue

    Waste of time

    7BIG DATA - BIG MEDIA

  • 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 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

  • 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

  • Semantic layer cakeFrom modeling to exploitation

    User Interface

    USAGE

    360 Rendering

    PUBLISHING

    Inference rules

    ENRICHMENT

    Semantic Data

    PRODUCTION, INGEST

    Ontology & knowledge base

    MODELING

    12BIG DATA - BIG MEDIA

  • Semantic valorizationWhy?

    From DATA to information

    Understand information and build theknowledgeknowledge

    Provide solutions to value the content.

    13BIG DATA - BIG MEDIA

  • Semantic valorization

    Bring semantic to the media

    Data Info

    Knowledge

    2 persons, face to face, smiling and laughing

    Semantic

    system

    Data InfoKnowledge

    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

  • 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: Franois

    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: Franois

    Employer : RTBF

    Description : > Worked on Zidanes

    bio.

    1

    ENTITY Person

    URI: MMC#RTBF#67554778

    Name : Barthe

    First name : Franois

    Description :

    > Worked on Zidanes bio.

    ENTITY Organisation

    URI: MMC#RTBF#6756593

    Name : RTBF

    Work

    for

    for

    semantic

    Enrichment

    semantic

    3

    Le 09/10/2013 15BIG DATA - BIG MEDIA

  • Inference

    Perfect Memorys 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

  • Exploiting the knowledgeExploiting the knowledge

    From Pr. Bachimont University of Technology of Compigne

    Le 09/10/2013 17BIG DATA - BIG MEDIA

  • Linked Open DataConsolidating the distributed knowledge

    RTBF

    18BIG DATA - BIG MEDIA

  • Process managementOSB workers

    InterOp-WindowA 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

  • Semantic PlayerRendering the semantic links

    InterOp-Guichet

    Player SmantiqueNetworkNetwork

    OSB OSB

    OSB OSB

    Enhancement, Repurposing & Exploitation of

    audiovisual contents.

    20BIG DATA - BIG MEDIA

  • An architecture scalable, distributedIntroducing 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 backboneof the middleware

    (3) Any Bases ingested, or functionalitiesconnected via an InteOperability Windows (GIO) becomes a semantic ressource for the Middleware

    (2)

    (3)

    21BIG DATA - BIG MEDIA

  • Flexibility & scalability of the middleware

    Control Enrichment

    ExtractionExpressivity

    Le 09/10/2013 22BIG DATA - BIG MEDIA

  • 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

  • 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

  • The PROFILE : knowledge capitalization

    YourYour Data StructureData Structure

    YourYour Media LibraryMedia Library Linked Open DataLinked Open Data

    YOURYOUR KNOWLEDGEKNOWLEDGE

    25BIG DATA - BIG MEDIA

  • 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

  • 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

    Frdric 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

  • Organizadores Sponsor platinum

    Sponsor Gold Con el apoyo de Socio tecnolgico

    Nicolas Moulard, Director de Actuonda

    moulard@actuonda.com

    Tel : +34 699 248 200

    @Radio_20 www.bigmediaconnect.es