SlideShare a Scribd company logo
1 of 24
The Value of Semantic Technology
       in Media Production
Limecraft (Ghent) is a specialised supplier of
technology and services to the high-end
media sector.

Limecraft has been incorporated in May 2010
after more than 40 yrs of R&D in media.

Limecraft is rolling out an online integrated
media production platform for TaglichtMedia
(D) en Raindance (UK) by June 2012.
Digitisation in the domain of media production
has just started. Media Production is about
craftsmanship and to a large extent based on
informal processes.
There is huge potential to integrate media
production processes, for the purpose of re-use
and disclosure of audiovisual Content.

Potential
  New distribution channels (iPad, iPhone)
  New types of ‘customisable’ products
  Personalised advertisement

Issues to be solved
  Integrated or “paper-less” production
  Industry standards (EBU Core, NewsML)
  Semantic Technology
News Production
              Journalist                                                       Archivist




 PoP Server                      Newsroom Computer System


  NewsWire
  eXchange                 Media Asset Management System
   Server


               Media                                                        Search Application
               Manager

In the context of News Production, software has replaced paper workflows to a large extent.
However, the application landscape is a chain of databases and information is manually
reproduced from one system to another through, which slows down the information flow.

Semantic technology enables automation of system integration, through wich breaking news
can be published faster.
Drama Production
Script Writing (Screenplay)       Breakdown                     Logging (Continuity)




                                                                                            Flow of Informally
                                                                                        Structured Information




Digital Media Flow


In the context of drama production, while the media have been digitised (principal
photography, editing, sound engineering,...), the controlling workflow is still very document-oriented. Beyond
the original screenplay, an average production requires about 25 more documents using the same
information, including a production breakdown, shooting schedules,Post sheets, continuity reports, etc.
                                Principal Photography                 call -Production

Semantic technology is essential to understand the contents of the documents so that the information can be
stored in a database.
Archiving
                                                                                             archiefnummer    : ALG 20010813 1

      Opzoekscherm FILM             Set:    16    Aantal:     1                              fragmentnummer   : 1

      blz 1 van 3                                                                            reeks            : 1000 ZONNEN EN GARNALEN

        trefwoorden:       ibm and vrt                                                       bandnummer       : E03024404
                                                                                             formaat          : DBCM

        archiefnummer:                                                            -          fragmenttitel    : 1000 ZONNEN & GARNALEN

        uitzendjaar:                                 maand:                dag:              beeld            : KL/PALPLUS

        fragmentnummer:                              fragmentduur:                           fragmentduur     : 18 20

        reeks:                                                                               tekst            : 0'00" TOERISTISCH REPORTAGEMAGAZINE           OVERZICHT

        formaat:                                     bandnummer:                                                  ONDERWERPEN    GENERIEK    TOERISTISCH REPORTAGEMAGAZINE,

        aflevering:                                  afleveringsnummer:                                           OVERZICHT ONDERWERPEN

        programma:                                   uitzenddatum:                                                0'50" VANDAAG : KUNSTENAAR LUC HOFKENS ONTWIERP EEN OASE

        fragmenttitel:                                                                                            OP ZIJN DAKTERRAS IN BORGERHOUT DIE DOET DENKEN AAN DE

        tekst:                                                                                                    GRAND CANYON    INTERVIEW MET LUC EN ZIJN VROUW

        kategorie:                                                                                                MARILOU BUITENBEELD DAK MET OMGEVING         BUITENKANT

        opnamedatum:                                 opnamenummer:                                                ARBEIDERSWONING, PANO OVER ROTSWANDEN, KRATEN MET WATER,

        journalist:                                  rechthebbende:                                               BEPANTING, FOTOALBUM MET VERLOOP WERKEN
                                                                                                                  4'00" JUNIOR : KLAARTJE ALAERTS, 13 JAAR WIL ASTRONAUTEN
                                                                                                                  WORDEN   ZE BEZOEKT HETEUROSPACE CENTER METRUIMTEVEREN,

                          SETS                                                                                    RAKETTEN    SIMULATIE IN RUIMTEVEER, INTERVIEW, HEEFT EEN

      The strings required for the operation are not defined                                                      UFO GEZIEN    MAAKT ZELF KLEIN RAKETJE, SCHIET HET AF
                                                                                                                  7'50" DE SCHEURKALENDER : ARCHIEF RECLAMEFILM IBM
                                                                                                                  INTERVIEW MAURICE DE WILDE, EERSTE PERSOONLIJKECOMPUTER

       F11         F12     F13     F14      F17        F18         F19    F20         Ent    trefwoorden      :   BELGIE;     BORGERHOUT;    ARTIEST;      OASE;   KUNST;   GRAND

      Eindigen     Sets   Refset   Toon    Vorige Volg/Leeg Thesaurus Commando    Opzoeken                        CANYON (NATUURGEBIED);      DAK;   TERRAS;       INTERVIEW;   EURO
                                                                                                                  SPACE CENTER;   RUIMTEVAART;       PC;   BOOTTOCHT;     RIJKDOM;
                                                                                                                  PASSAGIER;    GASTRONOMIE;   RESTAURANT;         PERSONEEL;
                                                                                                                  VAKANTIE;    BINNENBEELD;    SCHIP;      BECKERS LEEN;    VRT;
                                                                                                                  LOTTO;   RADIOOMROEPSTER;    KLANKSTUDIO;        UITVINDING;
                                                                                                                  BARBECUE;    BETONMOLEN;    IBM;   RECLAMESPOT
                                                                                             rechthebbende    : VRT

In order to preserve material, broadcasters and production facilities maintain archives. All
available information is collected and summarised by the archivist. The material is categorised and
formally tagged , so that researchers at a later stage are able to retrieve the material. Manual
“Annotation” is a slow and expensive process and the result has a moderate precision.
Semantic technology has the potential to accelerate this process and to improve the accuracy of
the result.
Key Issue
   Symptoms
      Re-use is expensive
      Content is hard to find
      “Search” in the player does not work


   Causes - Non-integrated Process
        Unstructured information
        ‘Document oriented’ workflow
        Lack of interoperability
        Loss of information


   Traditional remedies
      Manual ‘annotation’ (not scalable!)
      Database Duplication (inconsistencies)
      A complex and expensive architectures which are difficult to maintain
Business Case – Cost (!)
                                      Conventional ICT infrastructure
                                       Can’t handle large volumes of items
 COST




                                       Software components are not integrated
                                       Integration of Digital Isles by ‘Middleware’

                                     Added Value

                   NUMBER OF ITEMS   Using a Semantic Integration Platform as the core
                                     of the Media Asset Management processes:
  RETRIEVABILITY




                                         Integration is efficient and protects earlier
                                         investments
                                         Information remains secured and
                                         retrievable when growing to large numbers

                   NUMBER OF ITEMS
Why semantic technology?




-> Please have a look at the following three paintings.
Beyond “oil on canvas” and “five human beings”, these three paintings all illustrate the
allegory of senses.

Because audiovisual media are not self-descriptive, we need human interpretation to
understand the information beyond the image. From thereon, using semantic
technology, this information can be consistently communicated between machines.
From pre-production to archiving...
                                                      archiefnummer : ALG 20010813 1
                                                      fragmentnummer : 1
                                                      reeks         : 1000 ZONNEN EN GARNALEN
                                                      bandnummer       : E03024404
                                                      formaat       : DBCM
                                                      fragmenttitel : 1000 ZONNEN & GARNALEN
                                                      beeld         : KL/PALPLUS
                                                      fragmentduur : 18 20
                                                      tekst     : 0'00" TOERISTISCH REPORTAGEMAGAZINE OVERZICHT
                                                                ONDERWERPEN GENERIEK TOERISTISCH REPORTAGEMAGAZINE,
                                                                OVERZICHT ONDERWERPEN
                                                                0'50" VANDAAG : KUNSTENAAR LUC HOFKENS ONTWIERP EEN OASE
                                                                OP ZIJN DAKTERRAS IN BORGERHOUT DIE DOET DENKEN AAN DE
                                                                GRAND CANYON INTERVIEW MET LUC EN ZIJN VROUW
                                                                MARILOU BUITENBEELD DAK MET OMGEVING BUITENKANT
                                                                ARBEIDERSWONING, PANO OVER ROTSWANDEN, KRATEN MET WATER,
                                                                BEPANTING, FOTOALBUM MET VERLOOP WERKEN
                                                                4'00" JUNIOR : KLAARTJE ALAERTS, 13 JAAR WIL ASTRONAUTEN
                                                                WORDEN ZE BEZOEKT HETEUROSPACE CENTER METRUIMTEVEREN,
                                                                RAKETTEN SIMULATIE IN RUIMTEVEER, INTERVIEW, HEEFT EEN
                                                                UFO GEZIEN MAAKT ZELF KLEIN RAKETJE, SCHIET HET AF
                                                                7'50" DE SCHEURKALENDER : ARCHIEF RECLAMEFILM IBM
                                                                INTERVIEW MAURICE DE WILDE, EERSTE PERSOONLIJKECOMPUTER
                                                      trefwoorden     : BELGIE; BORGERHOUT; ARTIEST; OASE; KUNST; GRAND
                                                                CANYON (NATUURGEBIED); DAK; TERRAS; INTERVIEW; EURO
                                                                SPACE CENTER; RUIMTEVAART; PC; BOOTTOCHT; RIJKDOM;
                                                                PASSAGIER; GASTRONOMIE; RESTAURANT; PERSONEEL;
                                                                VAKANTIE; BINNENBEELD; SCHIP; BECKERS LEEN; VRT;

From pre-production to archiving, media producers need proper information, i.e. the
                                                                LOTTO; RADIOOMROEPSTER; KLANKSTUDIO; UITVINDING;
                                                                BARBECUE; BETONMOLEN; IBM; RECLAMESPOT

semantics contained by documents, to optimally schedule a production, to enable
                                                      rechthebbende : VRT



interactivity, to report about rights and to enable re-use of content. Therefor it is not good
enough to establish a document management system, the document-oriented methods
must be replaced by a more model-driven approach.
...a Model-driven Approach
                                                                            Scene
I N T . J E E P – F A V O RING J O E C H A C O                         “Jeep”, INT
                                                  #1
J O E d r i v es r e c k lessly. A N D I s i t s n e x t t o h i m ,                         Action
a n a t t r active g i r l i n h e r m i d -t w e n ties. #2              “ char. “Joe” drives recklessly.
                                                                           char. “Andi” sits next to him, ...”
                                ANDI
                           ( s h o uting)       #3
                      H o w m u c h l o n g er?                                        Dialogue                    Character
                                                                           actionspan dialoguespan                “Andi”
                               JOE                                        “shouting” “How much longer?”
              C o u p le o ’ h o u r s. Y o u o k a y ?   #4
S h e s m i l es w e a r ily.   #5                                                  Dialogue                     Character
                                                                          “Couple o’ hours. ...”                “Joe”
                               ANDI
                        I ’ l l m a k e i t .#6                                   Action                       Dialogue
                                                                          “She smiles wearily.”            “I’ll make it.”
S u d d enly, t h e m o t o r S P U T TERS. T h e y l o o k a t
e a c h o t h e r, c o n c erned.                              #7
                                                                                                  Action
                                                  #8       CUT TO:        “Suddenly, the motor sound “sputters” .
                                                                          They look at each other, concerned.”

                                                                                  Instruction
                                                                          type: “transition”
                                                                          “cut to”
Design Principles
                                                                   A     B        C       D       E       F   G
                  B

    A                                A         B         C
                          D
              C
E
                                           Media Asset
                                     D                   E
        ...
                                             Mgnt                            Limecraft Platform
                      Y
    X
                                     ...       X         Y                    H               J
                                                                                      I               I




    Limecraft - Semantic Integration Platform
                     Available online (Software as a Service)
                     Replace all paper documents by browser-based applications
                     Interoperability through maximum support of industry standards
                     Ensure compatibility with existing MAM systems
                     Patent pending search technology ensures retrievability
                     Real-time co-production
Architecture
Search Experience

Goal
  1.    Retrieve all(!) relevant items
  2.    in a minimum of time
  3.    with respect for Intellectual Property

Key Features
      Integration of different sources
      Trace the relationships between items
      Scene recognition
      Computer Assisted Annotation
      (Face Recognition - WIP)
      (Speech recognition - WIP)




                                                 21
Media Production

           Saas - No installation, no maintenance,...
           End-to-end - script writing, production, post-
            production, distribution and play-out
           Reliable – 100% uptime
           Integrated - Single set of numbers(!)
           On demand – scalability through capacity on
            demand
           Ubiquitous access – anytime, anywhere on
            any type of device
           Standardisation – industry standards enable
            interoperability




       22
Future Work...
 http://www.limecraft.com
 @limecraft
 info@limecraft.com

More Related Content

Viewers also liked

From file-based production to real-time co-production
From file-based production to real-time co-productionFrom file-based production to real-time co-production
From file-based production to real-time co-productionMaarten Verwaest
 
Presentation of Mediamap @Ebu Production Technology Seminar
Presentation of Mediamap @Ebu Production Technology SeminarPresentation of Mediamap @Ebu Production Technology Seminar
Presentation of Mediamap @Ebu Production Technology SeminarMaarten Verwaest
 
Tablets and Television - How tablet PC's will impact the Nature of Television...
Tablets and Television - How tablet PC's will impact the Nature of Television...Tablets and Television - How tablet PC's will impact the Nature of Television...
Tablets and Television - How tablet PC's will impact the Nature of Television...Maarten Verwaest
 
Workshop Digital Radio (03/27/2009)
Workshop Digital Radio (03/27/2009)Workshop Digital Radio (03/27/2009)
Workshop Digital Radio (03/27/2009)Maarten Verwaest
 
Cloud-enabled Video Production
Cloud-enabled Video ProductionCloud-enabled Video Production
Cloud-enabled Video ProductionMaarten Verwaest
 
A-Review-on-Google-Translation-project-in-Tamil
A-Review-on-Google-Translation-project-in-TamilA-Review-on-Google-Translation-project-in-Tamil
A-Review-on-Google-Translation-project-in-TamilRavishankar Ayyakkannu
 
Presentation of Scoop @Ebu Production Technology Seminar
Presentation of Scoop @Ebu Production Technology SeminarPresentation of Scoop @Ebu Production Technology Seminar
Presentation of Scoop @Ebu Production Technology SeminarMaarten Verwaest
 
Digital Media Production - Future Internet
Digital Media Production - Future InternetDigital Media Production - Future Internet
Digital Media Production - Future InternetMaarten Verwaest
 

Viewers also liked (12)

From file-based production to real-time co-production
From file-based production to real-time co-productionFrom file-based production to real-time co-production
From file-based production to real-time co-production
 
DMS-1, a Semantic View
DMS-1, a Semantic ViewDMS-1, a Semantic View
DMS-1, a Semantic View
 
Digital Media Production
Digital Media ProductionDigital Media Production
Digital Media Production
 
tawiki10lessons
tawiki10lessonstawiki10lessons
tawiki10lessons
 
Presentation of Mediamap @Ebu Production Technology Seminar
Presentation of Mediamap @Ebu Production Technology SeminarPresentation of Mediamap @Ebu Production Technology Seminar
Presentation of Mediamap @Ebu Production Technology Seminar
 
Tablets and Television - How tablet PC's will impact the Nature of Television...
Tablets and Television - How tablet PC's will impact the Nature of Television...Tablets and Television - How tablet PC's will impact the Nature of Television...
Tablets and Television - How tablet PC's will impact the Nature of Television...
 
Workshop Digital Radio (03/27/2009)
Workshop Digital Radio (03/27/2009)Workshop Digital Radio (03/27/2009)
Workshop Digital Radio (03/27/2009)
 
Cloud-enabled Video Production
Cloud-enabled Video ProductionCloud-enabled Video Production
Cloud-enabled Video Production
 
A-Review-on-Google-Translation-project-in-Tamil
A-Review-on-Google-Translation-project-in-TamilA-Review-on-Google-Translation-project-in-Tamil
A-Review-on-Google-Translation-project-in-Tamil
 
Presentation of Scoop @Ebu Production Technology Seminar
Presentation of Scoop @Ebu Production Technology SeminarPresentation of Scoop @Ebu Production Technology Seminar
Presentation of Scoop @Ebu Production Technology Seminar
 
Digital Media Production
Digital Media ProductionDigital Media Production
Digital Media Production
 
Digital Media Production - Future Internet
Digital Media Production - Future InternetDigital Media Production - Future Internet
Digital Media Production - Future Internet
 

More from Maarten Verwaest

Transcription Tutorial - Using Limecraft to accurately Transcribe Audio in Mi...
Transcription Tutorial - Using Limecraft to accurately Transcribe Audio in Mi...Transcription Tutorial - Using Limecraft to accurately Transcribe Audio in Mi...
Transcription Tutorial - Using Limecraft to accurately Transcribe Audio in Mi...Maarten Verwaest
 
AI for Subtitling - Limecraft presentation the 2022 Open Forum
AI for Subtitling - Limecraft presentation the 2022 Open ForumAI for Subtitling - Limecraft presentation the 2022 Open Forum
AI for Subtitling - Limecraft presentation the 2022 Open ForumMaarten Verwaest
 
Practical Applications of AI in Media Production and Broadcast
Practical Applications of AI in Media Production and BroadcastPractical Applications of AI in Media Production and Broadcast
Practical Applications of AI in Media Production and BroadcastMaarten Verwaest
 
Using Limecraft Flow for automatic Subtitling and Localisation of Content
Using Limecraft Flow for automatic Subtitling and Localisation of ContentUsing Limecraft Flow for automatic Subtitling and Localisation of Content
Using Limecraft Flow for automatic Subtitling and Localisation of ContentMaarten Verwaest
 
Cloud-based video Production of High-end Content
Cloud-based video Production of High-end ContentCloud-based video Production of High-end Content
Cloud-based video Production of High-end ContentMaarten Verwaest
 
The Purpose of Cloud-technology for Video Production
The Purpose of Cloud-technology for Video ProductionThe Purpose of Cloud-technology for Video Production
The Purpose of Cloud-technology for Video ProductionMaarten Verwaest
 

More from Maarten Verwaest (6)

Transcription Tutorial - Using Limecraft to accurately Transcribe Audio in Mi...
Transcription Tutorial - Using Limecraft to accurately Transcribe Audio in Mi...Transcription Tutorial - Using Limecraft to accurately Transcribe Audio in Mi...
Transcription Tutorial - Using Limecraft to accurately Transcribe Audio in Mi...
 
AI for Subtitling - Limecraft presentation the 2022 Open Forum
AI for Subtitling - Limecraft presentation the 2022 Open ForumAI for Subtitling - Limecraft presentation the 2022 Open Forum
AI for Subtitling - Limecraft presentation the 2022 Open Forum
 
Practical Applications of AI in Media Production and Broadcast
Practical Applications of AI in Media Production and BroadcastPractical Applications of AI in Media Production and Broadcast
Practical Applications of AI in Media Production and Broadcast
 
Using Limecraft Flow for automatic Subtitling and Localisation of Content
Using Limecraft Flow for automatic Subtitling and Localisation of ContentUsing Limecraft Flow for automatic Subtitling and Localisation of Content
Using Limecraft Flow for automatic Subtitling and Localisation of Content
 
Cloud-based video Production of High-end Content
Cloud-based video Production of High-end ContentCloud-based video Production of High-end Content
Cloud-based video Production of High-end Content
 
The Purpose of Cloud-technology for Video Production
The Purpose of Cloud-technology for Video ProductionThe Purpose of Cloud-technology for Video Production
The Purpose of Cloud-technology for Video Production
 

Recently uploaded

Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024The Digital Insurer
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostZilliz
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 

Recently uploaded (20)

Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 

Limecraft - Semantic Integration Platform

  • 1. The Value of Semantic Technology in Media Production
  • 2. Limecraft (Ghent) is a specialised supplier of technology and services to the high-end media sector. Limecraft has been incorporated in May 2010 after more than 40 yrs of R&D in media. Limecraft is rolling out an online integrated media production platform for TaglichtMedia (D) en Raindance (UK) by June 2012.
  • 3. Digitisation in the domain of media production has just started. Media Production is about craftsmanship and to a large extent based on informal processes. There is huge potential to integrate media production processes, for the purpose of re-use and disclosure of audiovisual Content. Potential  New distribution channels (iPad, iPhone)  New types of ‘customisable’ products  Personalised advertisement Issues to be solved  Integrated or “paper-less” production  Industry standards (EBU Core, NewsML)  Semantic Technology
  • 4.
  • 5.
  • 6. News Production Journalist Archivist PoP Server Newsroom Computer System NewsWire eXchange Media Asset Management System Server Media Search Application Manager In the context of News Production, software has replaced paper workflows to a large extent. However, the application landscape is a chain of databases and information is manually reproduced from one system to another through, which slows down the information flow. Semantic technology enables automation of system integration, through wich breaking news can be published faster.
  • 7. Drama Production Script Writing (Screenplay) Breakdown Logging (Continuity) Flow of Informally Structured Information Digital Media Flow In the context of drama production, while the media have been digitised (principal photography, editing, sound engineering,...), the controlling workflow is still very document-oriented. Beyond the original screenplay, an average production requires about 25 more documents using the same information, including a production breakdown, shooting schedules,Post sheets, continuity reports, etc. Principal Photography call -Production Semantic technology is essential to understand the contents of the documents so that the information can be stored in a database.
  • 8. Archiving archiefnummer : ALG 20010813 1 Opzoekscherm FILM Set: 16 Aantal: 1 fragmentnummer : 1 blz 1 van 3 reeks : 1000 ZONNEN EN GARNALEN trefwoorden: ibm and vrt bandnummer : E03024404 formaat : DBCM archiefnummer: - fragmenttitel : 1000 ZONNEN & GARNALEN uitzendjaar: maand: dag: beeld : KL/PALPLUS fragmentnummer: fragmentduur: fragmentduur : 18 20 reeks: tekst : 0'00" TOERISTISCH REPORTAGEMAGAZINE OVERZICHT formaat: bandnummer: ONDERWERPEN GENERIEK TOERISTISCH REPORTAGEMAGAZINE, aflevering: afleveringsnummer: OVERZICHT ONDERWERPEN programma: uitzenddatum: 0'50" VANDAAG : KUNSTENAAR LUC HOFKENS ONTWIERP EEN OASE fragmenttitel: OP ZIJN DAKTERRAS IN BORGERHOUT DIE DOET DENKEN AAN DE tekst: GRAND CANYON INTERVIEW MET LUC EN ZIJN VROUW kategorie: MARILOU BUITENBEELD DAK MET OMGEVING BUITENKANT opnamedatum: opnamenummer: ARBEIDERSWONING, PANO OVER ROTSWANDEN, KRATEN MET WATER, journalist: rechthebbende: BEPANTING, FOTOALBUM MET VERLOOP WERKEN 4'00" JUNIOR : KLAARTJE ALAERTS, 13 JAAR WIL ASTRONAUTEN WORDEN ZE BEZOEKT HETEUROSPACE CENTER METRUIMTEVEREN, SETS RAKETTEN SIMULATIE IN RUIMTEVEER, INTERVIEW, HEEFT EEN The strings required for the operation are not defined UFO GEZIEN MAAKT ZELF KLEIN RAKETJE, SCHIET HET AF 7'50" DE SCHEURKALENDER : ARCHIEF RECLAMEFILM IBM INTERVIEW MAURICE DE WILDE, EERSTE PERSOONLIJKECOMPUTER F11 F12 F13 F14 F17 F18 F19 F20 Ent trefwoorden : BELGIE; BORGERHOUT; ARTIEST; OASE; KUNST; GRAND Eindigen Sets Refset Toon Vorige Volg/Leeg Thesaurus Commando Opzoeken CANYON (NATUURGEBIED); DAK; TERRAS; INTERVIEW; EURO SPACE CENTER; RUIMTEVAART; PC; BOOTTOCHT; RIJKDOM; PASSAGIER; GASTRONOMIE; RESTAURANT; PERSONEEL; VAKANTIE; BINNENBEELD; SCHIP; BECKERS LEEN; VRT; LOTTO; RADIOOMROEPSTER; KLANKSTUDIO; UITVINDING; BARBECUE; BETONMOLEN; IBM; RECLAMESPOT rechthebbende : VRT In order to preserve material, broadcasters and production facilities maintain archives. All available information is collected and summarised by the archivist. The material is categorised and formally tagged , so that researchers at a later stage are able to retrieve the material. Manual “Annotation” is a slow and expensive process and the result has a moderate precision. Semantic technology has the potential to accelerate this process and to improve the accuracy of the result.
  • 9. Key Issue  Symptoms  Re-use is expensive  Content is hard to find  “Search” in the player does not work  Causes - Non-integrated Process  Unstructured information  ‘Document oriented’ workflow  Lack of interoperability  Loss of information  Traditional remedies  Manual ‘annotation’ (not scalable!)  Database Duplication (inconsistencies)  A complex and expensive architectures which are difficult to maintain
  • 10. Business Case – Cost (!) Conventional ICT infrastructure  Can’t handle large volumes of items COST  Software components are not integrated  Integration of Digital Isles by ‘Middleware’ Added Value NUMBER OF ITEMS Using a Semantic Integration Platform as the core of the Media Asset Management processes: RETRIEVABILITY Integration is efficient and protects earlier investments Information remains secured and retrievable when growing to large numbers NUMBER OF ITEMS
  • 11. Why semantic technology? -> Please have a look at the following three paintings.
  • 12.
  • 13.
  • 14.
  • 15. Beyond “oil on canvas” and “five human beings”, these three paintings all illustrate the allegory of senses. Because audiovisual media are not self-descriptive, we need human interpretation to understand the information beyond the image. From thereon, using semantic technology, this information can be consistently communicated between machines.
  • 16. From pre-production to archiving... archiefnummer : ALG 20010813 1 fragmentnummer : 1 reeks : 1000 ZONNEN EN GARNALEN bandnummer : E03024404 formaat : DBCM fragmenttitel : 1000 ZONNEN & GARNALEN beeld : KL/PALPLUS fragmentduur : 18 20 tekst : 0'00" TOERISTISCH REPORTAGEMAGAZINE OVERZICHT ONDERWERPEN GENERIEK TOERISTISCH REPORTAGEMAGAZINE, OVERZICHT ONDERWERPEN 0'50" VANDAAG : KUNSTENAAR LUC HOFKENS ONTWIERP EEN OASE OP ZIJN DAKTERRAS IN BORGERHOUT DIE DOET DENKEN AAN DE GRAND CANYON INTERVIEW MET LUC EN ZIJN VROUW MARILOU BUITENBEELD DAK MET OMGEVING BUITENKANT ARBEIDERSWONING, PANO OVER ROTSWANDEN, KRATEN MET WATER, BEPANTING, FOTOALBUM MET VERLOOP WERKEN 4'00" JUNIOR : KLAARTJE ALAERTS, 13 JAAR WIL ASTRONAUTEN WORDEN ZE BEZOEKT HETEUROSPACE CENTER METRUIMTEVEREN, RAKETTEN SIMULATIE IN RUIMTEVEER, INTERVIEW, HEEFT EEN UFO GEZIEN MAAKT ZELF KLEIN RAKETJE, SCHIET HET AF 7'50" DE SCHEURKALENDER : ARCHIEF RECLAMEFILM IBM INTERVIEW MAURICE DE WILDE, EERSTE PERSOONLIJKECOMPUTER trefwoorden : BELGIE; BORGERHOUT; ARTIEST; OASE; KUNST; GRAND CANYON (NATUURGEBIED); DAK; TERRAS; INTERVIEW; EURO SPACE CENTER; RUIMTEVAART; PC; BOOTTOCHT; RIJKDOM; PASSAGIER; GASTRONOMIE; RESTAURANT; PERSONEEL; VAKANTIE; BINNENBEELD; SCHIP; BECKERS LEEN; VRT; From pre-production to archiving, media producers need proper information, i.e. the LOTTO; RADIOOMROEPSTER; KLANKSTUDIO; UITVINDING; BARBECUE; BETONMOLEN; IBM; RECLAMESPOT semantics contained by documents, to optimally schedule a production, to enable rechthebbende : VRT interactivity, to report about rights and to enable re-use of content. Therefor it is not good enough to establish a document management system, the document-oriented methods must be replaced by a more model-driven approach.
  • 17. ...a Model-driven Approach Scene I N T . J E E P – F A V O RING J O E C H A C O “Jeep”, INT #1 J O E d r i v es r e c k lessly. A N D I s i t s n e x t t o h i m , Action a n a t t r active g i r l i n h e r m i d -t w e n ties. #2 “ char. “Joe” drives recklessly. char. “Andi” sits next to him, ...” ANDI ( s h o uting) #3 H o w m u c h l o n g er? Dialogue Character actionspan dialoguespan “Andi” JOE “shouting” “How much longer?” C o u p le o ’ h o u r s. Y o u o k a y ? #4 S h e s m i l es w e a r ily. #5 Dialogue Character “Couple o’ hours. ...” “Joe” ANDI I ’ l l m a k e i t .#6 Action Dialogue “She smiles wearily.” “I’ll make it.” S u d d enly, t h e m o t o r S P U T TERS. T h e y l o o k a t e a c h o t h e r, c o n c erned. #7 Action #8 CUT TO: “Suddenly, the motor sound “sputters” . They look at each other, concerned.” Instruction type: “transition” “cut to”
  • 18.
  • 19. Design Principles A B C D E F G B A A B C D C E Media Asset D E ... Mgnt Limecraft Platform Y X ... X Y H J I I Limecraft - Semantic Integration Platform  Available online (Software as a Service)  Replace all paper documents by browser-based applications  Interoperability through maximum support of industry standards  Ensure compatibility with existing MAM systems  Patent pending search technology ensures retrievability  Real-time co-production
  • 21. Search Experience Goal 1. Retrieve all(!) relevant items 2. in a minimum of time 3. with respect for Intellectual Property Key Features  Integration of different sources  Trace the relationships between items  Scene recognition  Computer Assisted Annotation  (Face Recognition - WIP)  (Speech recognition - WIP) 21
  • 22. Media Production  Saas - No installation, no maintenance,...  End-to-end - script writing, production, post- production, distribution and play-out  Reliable – 100% uptime  Integrated - Single set of numbers(!)  On demand – scalability through capacity on demand  Ubiquitous access – anytime, anywhere on any type of device  Standardisation – industry standards enable interoperability 22

Editor's Notes

  1. KanaalzVmmagoogle