SlideShare une entreprise Scribd logo
1  sur  22
EMWRT 8
16, May 2013 – Compiègne, France
MediãMāp-core
an ontology for audiovisual production
Benjamin Diemert
Université de Technologie de Compiègne
IUT de Montreuil, Université Paris 8
EMWRT 8
16, May 2013 – Compiègne, France
Goals and Approach
Contributive production and fragment-based repurposing
Acquisition : commission and search
Delivery : indexing and repurposing
Semantic is the way to go
Semantic modeling : what kind of ontology are we building ?
Semantic Asset Management : manage each component of an asset
Semantic description : professionnal and production-centered indexing
Semantic process : knowledge gathering throughout the chain
EMWRT 8
16, May 2013 – Compiègne, France
Contributive production process
Mutli-source fragment acquisition
+ Scripting : prescription of fragments needed in post-production
+ Commissionning : content is shot externally and indexed before delivery
+ Search : content and description are transformed in the desired format
+ Acquisition : fragment semantic indexing + production knowledge update +
shooting script update
EMWRT 8
16, May 2013 – Compiègne, France
Amateur/professionnal production
How to leverage amateur production quality ?
+ Scripting (Script)
framing and composition shot by shot
+ Shooting (Script + Camera + Software)
shooting process guidance
detailed instructions and illustrations for amateur
live feedbacks during shooting
shot annnotation (people, location, etc.)
+ Acquisition (Script + Shot + Annotation)
preindexing of each shot + annotation
EMWRT 8
16, May 2013 – Compiègne, France
Semantic modeling
Asset = fragment + indexing
Content = structured set of assets
+ What kind of content and indexing do you need ?
+ Models focused on media file and distribution don't represent intermediary
fragments or production knowledge
+ Only a production model can cope with the challenge of contributive
production and fragment repurposing
Asset description is only a mean to an end
+ There are as many ways to describe an asset as there are users and goals
+ Shooting script description is a good way to commission or search for
fragments
EMWRT 8
16, May 2013 – Compiègne, France
Exogenous/Endogenous approaches
File/Asset management
+ Exogenous models represent only the final result
of the production (media file)
+ Abstraction levels are used to manage all the files
having technical similarities or for information
factoring but disregards editorial aspects or
consequences
+ Endogenous models follow the dynamic of the production process to represent
the fragment to-be-produced and its (multiple) manifestation(s)
+ An Asset is the combination of multiple components (editorial, sequence, file),
each of which is representing an intermediary result of the production, making
it possible to manage each component independently
MPEG-7 Content Management
EMWRT 8
16, May 2013 – Compiègne, France
Knowledge and Assets in
the production process
+ Planning : commission order, etc.
+ Shooting Script : editorial structure (shot, scene, etc.), framing, composition
+ Fabrication : multiple takes for one shot
+ Derushing : production report, takes selection/segmentation, etc.
+ Editing : take re-segmentation, editorial restructuration, multiple edits
+ Distribution : multiple releases (web, broadcast, etc.)
+ Archive : high-quality release + indexing
EMWRT 8
16, May 2013 – Compiègne, France
Exogenous/Endogenous approaches
File/Asset description
+ Exogenous models use signal processing to build up information after
production
- mostly technical and morphological
- also descriptive but with the semantic gap as a serious obstacle
+ Other models are used to associate administrative (production related) or
domain/task-specific information to the file
+ Endogenous models collect knowledge as it is expressed/updated by
contributors during production, thus facilitating
- exchange information between contributors
- custom-tailored knowledge selection and presentation
- asset archiving and repurposing
EMWRT 8
16, May 2013 – Compiègne, France
MediãMāp approach
endogenous during production
exogenous for exploitation
Associate any kind of knowledge to an asset
Whenever needed in the process
Whatever the methods used to create/collect it
EMWRT 8
16, May 2013 – Compiègne, France
Semantic Asset Management
architecture
Asset and knowledge gathering throughout the chain
+ Capture the domain knowledge contained in the production documents to build a
descriptive Knowledge Base (KB) associated to AV fragments
(commission order, shooting script, production report, etc.)
+ Model the production process in a KB to provide a custom-tailored view on
commission order to each contributor depending on its role, skill, mission
+ Search and reuse intermediary fragments of the chain from a repository
(shot, scene, take, edit, broadcast release, web release, archive, etc.)
Semantic DB project (contributor, process, commission, deliverable, etc.)
Semantic DB fragment (components, struture, description, etc.)
Asset repository (media file, edit file, etc.)
EMWRT 8
16, May 2013 – Compiègne, France
Semantic modeling
What kind of ontology are we building ?
+ Multimedia ontology are heterogeneous and mostly exogenous
(MPEG-7 based, EBU-core, W3C Media annotation, etc.)
+ Heavyweight upper ontology are quite difficult to use for professionnal users
(Dolce, ABC, SmartSUMO, etc.)
+ Lightweight ontologies are not built using ontological methodology
(XML transformation, UML modelling)
or lacks important formal features
(disjointness, inverse relations, distinctive traits between sibling, etc.)
There is a need for a middle way : a core ontology
- easy to understand because focused on one domain
- formally built to maximize inference and alignment
EMWRT 8
16, May 2013 – Compiègne, France
Production process
organisation
AV asset components
and annotation
Knowledge sharing and
packaging
Documentation and
adaptation
MediãMāp-core patterns
EMWRT 8
16, May 2013 – Compiègne, France
Production process
organisation
AV asset components
and annotation
Knowledge sharing and
packaging
Documentation and
adaptation
Semantic Asset Management
EMWRT 8
16, May 2013 – Compiègne, France
Semantic Asset Management
Basic components
Editorial : a piece of work, with its inner structure and upper grouping
Content : a timecoded segment/edit on a file, usually related to an editorial object
Resource : a sequence of digit (file or track)
EMWRT 8
16, May 2013 – Compiègne, France
Semantic Asset Management
Basic example
Editorial Object :
1 shot divided into
2 subshots (fixed, zoom in)
Segment :
1 for the shot, 2 for the subshots
Digital Resource :
1 media file
EMWRT 8
16, May 2013 – Compiègne, France
Semantic Asset Management
Combining the components (traditional chain)
PreProd Shot / Scene = Editorial Object + Annotation
Production Rush = AV Media + Segment
Rush report = AV Media + Segment + Annotation
PostProd Edit = AV Media + Segment + Segmentation
Exploitation Release = AV Media
Archive = AV Media + Annotation
Loss of information along the way (editorial structure and annotation)
EMWRT 8
16, May 2013 – Compiègne, France
Semantic Asset Management
Combining the components (MM approach)
PreProd Shot / Scene = Editorial Object + Annotation
Production Rush = AV Media + Segment + Editorial Object
Rush report = AV Media + Segment + Editorial Object + Annotation
PostProd Edit = AV Media + Segment + Segmentation + Editorial Object
+ Annotation
Exploitation Release = AV Media
Archive = AV Media + Annotation
Asset = AV Media + AV Media + Segment + Segmentation
+ Annotation + Editorial Object
EMWRT 8
16, May 2013 – Compiègne, France
Semantic description
Editorial Object, Annotation, People and Location
EMWRT 8
16, May 2013 – Compiègne, France
Production process
organisation
AV asset components
and annotation
Knowledge sharing and
packaging
Documentation and
adaptation
Semantic process modeling
EMWRT 8
16, May 2013 – Compiègne, France
Semantic process modeling
Contributors, mission, deliverable and asset components
EMWRT 8
16, May 2013 – Compiègne, France
Semantic process modeling
Contributors and their commitment in the production
EMWRT 8
16, May 2013 – Compiègne, France
MediãMāp-core
Follow us
Release of the conceptual model planned on the TITAN website
Contact
mediamap.core@gmail.com
bdiemert@gmail.com

Contenu connexe

En vedette

JavaScript and AJAX
JavaScript and AJAXJavaScript and AJAX
JavaScript and AJAXFrane Bandov
 
Tutorial solar module(physical-model)
Tutorial solar module(physical-model)Tutorial solar module(physical-model)
Tutorial solar module(physical-model)Kutty Mannai
 
Assessing the Return of investment on marketing Expenditure
Assessing the Return of investment on marketing ExpenditureAssessing the Return of investment on marketing Expenditure
Assessing the Return of investment on marketing ExpenditureJeet Parekh
 
An Introduction to MapReduce
An Introduction to MapReduceAn Introduction to MapReduce
An Introduction to MapReduceFrane Bandov
 
la commune de Ourém par Elisete et Ana Cat
la commune de Ourém par Elisete et Ana Cat la commune de Ourém par Elisete et Ana Cat
la commune de Ourém par Elisete et Ana Cat Maria Olinda Reis
 

En vedette (8)

Energía solar
Energía solarEnergía solar
Energía solar
 
JavaScript and AJAX
JavaScript and AJAXJavaScript and AJAX
JavaScript and AJAX
 
Tutorial solar module(physical-model)
Tutorial solar module(physical-model)Tutorial solar module(physical-model)
Tutorial solar module(physical-model)
 
Assessing the Return of investment on marketing Expenditure
Assessing the Return of investment on marketing ExpenditureAssessing the Return of investment on marketing Expenditure
Assessing the Return of investment on marketing Expenditure
 
An Introduction to MapReduce
An Introduction to MapReduceAn Introduction to MapReduce
An Introduction to MapReduce
 
Ptc
PtcPtc
Ptc
 
la commune de Ourém par Elisete et Ana Cat
la commune de Ourém par Elisete et Ana Cat la commune de Ourém par Elisete et Ana Cat
la commune de Ourém par Elisete et Ana Cat
 
Black death[1]
Black death[1]Black death[1]
Black death[1]
 

Similaire à MediaMap Core : an ontology for audiovisual production

2009.06.09 chris poppe - public PhD defense
2009.06.09   chris poppe - public PhD defense2009.06.09   chris poppe - public PhD defense
2009.06.09 chris poppe - public PhD defenseChris Poppe
 
Overview of Selected Current MPEG Activities
Overview of Selected Current MPEG ActivitiesOverview of Selected Current MPEG Activities
Overview of Selected Current MPEG ActivitiesAlpen-Adria-Universität
 
Overview of Selected Current MPEG Activities
Overview of Selected Current MPEG ActivitiesOverview of Selected Current MPEG Activities
Overview of Selected Current MPEG ActivitiesAlpen-Adria-Universität
 
Keynote speech at COST 292 final workshop on future of multimedia search and ...
Keynote speech at COST 292 final workshop on future of multimedia search and ...Keynote speech at COST 292 final workshop on future of multimedia search and ...
Keynote speech at COST 292 final workshop on future of multimedia search and ...Touradj Ebrahimi
 
Video Ecosystem and some ideas about video big data
Video Ecosystem and some ideas about video big dataVideo Ecosystem and some ideas about video big data
Video Ecosystem and some ideas about video big dataTrieu Nguyen
 
MICO — Towards Contextual Media Analysis
MICO — Towards Contextual Media AnalysisMICO — Towards Contextual Media Analysis
MICO — Towards Contextual Media AnalysisThomas Kurz
 
HAMME GEROME implementing media management policies and systems within the fr...
HAMME GEROME implementing media management policies and systems within the fr...HAMME GEROME implementing media management policies and systems within the fr...
HAMME GEROME implementing media management policies and systems within the fr...FIAT/IFTA
 
How to prepare a perfect video abstract for your research paper – Pubrica.pptx
How to prepare a perfect video abstract for your research paper – Pubrica.pptxHow to prepare a perfect video abstract for your research paper – Pubrica.pptx
How to prepare a perfect video abstract for your research paper – Pubrica.pptxPubrica
 
How to prepare a perfect video abstract for your research paper – Pubrica.pdf
How to prepare a perfect video abstract for your research paper – Pubrica.pdfHow to prepare a perfect video abstract for your research paper – Pubrica.pdf
How to prepare a perfect video abstract for your research paper – Pubrica.pdfPubrica
 
Besancon 2008, 13:30: Communication and dissemination
Besancon 2008, 13:30: Communication and disseminationBesancon 2008, 13:30: Communication and dissemination
Besancon 2008, 13:30: Communication and disseminationTerritorial Intelligence
 
Automatic Subtitle Generation for Sound in Videos
Automatic Subtitle Generation for Sound in VideosAutomatic Subtitle Generation for Sound in Videos
Automatic Subtitle Generation for Sound in VideosIRJET Journal
 
Automatic Subtitle Generation For Sound In Videos
Automatic Subtitle Generation For Sound In VideosAutomatic Subtitle Generation For Sound In Videos
Automatic Subtitle Generation For Sound In VideosAsia Smith
 
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
 
Evolution of the technical and professional skill sets and roles within the d...
Evolution of the technical and professional skill sets and roles within the d...Evolution of the technical and professional skill sets and roles within the d...
Evolution of the technical and professional skill sets and roles within the d...FIAT/IFTA
 
Acpet vic rapidelearning 2
Acpet vic rapidelearning 2Acpet vic rapidelearning 2
Acpet vic rapidelearning 2Yum Studio
 

Similaire à MediaMap Core : an ontology for audiovisual production (20)

2009.06.09 chris poppe - public PhD defense
2009.06.09   chris poppe - public PhD defense2009.06.09   chris poppe - public PhD defense
2009.06.09 chris poppe - public PhD defense
 
Overview of Selected Current MPEG Activities
Overview of Selected Current MPEG ActivitiesOverview of Selected Current MPEG Activities
Overview of Selected Current MPEG Activities
 
Overview of Selected Current MPEG Activities
Overview of Selected Current MPEG ActivitiesOverview of Selected Current MPEG Activities
Overview of Selected Current MPEG Activities
 
An Introduction to OMNeT++ 5.4
An Introduction to OMNeT++ 5.4An Introduction to OMNeT++ 5.4
An Introduction to OMNeT++ 5.4
 
Keynote speech at COST 292 final workshop on future of multimedia search and ...
Keynote speech at COST 292 final workshop on future of multimedia search and ...Keynote speech at COST 292 final workshop on future of multimedia search and ...
Keynote speech at COST 292 final workshop on future of multimedia search and ...
 
An Introduction to OMNeT++ 6.0
An Introduction to OMNeT++ 6.0An Introduction to OMNeT++ 6.0
An Introduction to OMNeT++ 6.0
 
Video Ecosystem and some ideas about video big data
Video Ecosystem and some ideas about video big dataVideo Ecosystem and some ideas about video big data
Video Ecosystem and some ideas about video big data
 
An Introduction to OMNeT++ 5.1
An Introduction to OMNeT++ 5.1An Introduction to OMNeT++ 5.1
An Introduction to OMNeT++ 5.1
 
MICO — Towards Contextual Media Analysis
MICO — Towards Contextual Media AnalysisMICO — Towards Contextual Media Analysis
MICO — Towards Contextual Media Analysis
 
HAMME GEROME implementing media management policies and systems within the fr...
HAMME GEROME implementing media management policies and systems within the fr...HAMME GEROME implementing media management policies and systems within the fr...
HAMME GEROME implementing media management policies and systems within the fr...
 
How to prepare a perfect video abstract for your research paper – Pubrica.pptx
How to prepare a perfect video abstract for your research paper – Pubrica.pptxHow to prepare a perfect video abstract for your research paper – Pubrica.pptx
How to prepare a perfect video abstract for your research paper – Pubrica.pptx
 
How to prepare a perfect video abstract for your research paper – Pubrica.pdf
How to prepare a perfect video abstract for your research paper – Pubrica.pdfHow to prepare a perfect video abstract for your research paper – Pubrica.pdf
How to prepare a perfect video abstract for your research paper – Pubrica.pdf
 
CV machine learning freelancer
CV machine learning freelancerCV machine learning freelancer
CV machine learning freelancer
 
Besancon 2008, 13:30: Communication and dissemination
Besancon 2008, 13:30: Communication and disseminationBesancon 2008, 13:30: Communication and dissemination
Besancon 2008, 13:30: Communication and dissemination
 
Automatic Subtitle Generation for Sound in Videos
Automatic Subtitle Generation for Sound in VideosAutomatic Subtitle Generation for Sound in Videos
Automatic Subtitle Generation for Sound in Videos
 
Automatic Subtitle Generation For Sound In Videos
Automatic Subtitle Generation For Sound In VideosAutomatic Subtitle Generation For Sound In Videos
Automatic Subtitle Generation For Sound In Videos
 
Arneb
ArnebArneb
Arneb
 
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
 
Evolution of the technical and professional skill sets and roles within the d...
Evolution of the technical and professional skill sets and roles within the d...Evolution of the technical and professional skill sets and roles within the d...
Evolution of the technical and professional skill sets and roles within the d...
 
Acpet vic rapidelearning 2
Acpet vic rapidelearning 2Acpet vic rapidelearning 2
Acpet vic rapidelearning 2
 

Dernier

Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Igalia
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024The Digital Insurer
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure servicePooja Nehwal
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies
 
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...gurkirankumar98700
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024Results
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 

Dernier (20)

Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 

MediaMap Core : an ontology for audiovisual production

  • 1. EMWRT 8 16, May 2013 – Compiègne, France MediãMāp-core an ontology for audiovisual production Benjamin Diemert Université de Technologie de Compiègne IUT de Montreuil, Université Paris 8
  • 2. EMWRT 8 16, May 2013 – Compiègne, France Goals and Approach Contributive production and fragment-based repurposing Acquisition : commission and search Delivery : indexing and repurposing Semantic is the way to go Semantic modeling : what kind of ontology are we building ? Semantic Asset Management : manage each component of an asset Semantic description : professionnal and production-centered indexing Semantic process : knowledge gathering throughout the chain
  • 3. EMWRT 8 16, May 2013 – Compiègne, France Contributive production process Mutli-source fragment acquisition + Scripting : prescription of fragments needed in post-production + Commissionning : content is shot externally and indexed before delivery + Search : content and description are transformed in the desired format + Acquisition : fragment semantic indexing + production knowledge update + shooting script update
  • 4. EMWRT 8 16, May 2013 – Compiègne, France Amateur/professionnal production How to leverage amateur production quality ? + Scripting (Script) framing and composition shot by shot + Shooting (Script + Camera + Software) shooting process guidance detailed instructions and illustrations for amateur live feedbacks during shooting shot annnotation (people, location, etc.) + Acquisition (Script + Shot + Annotation) preindexing of each shot + annotation
  • 5. EMWRT 8 16, May 2013 – Compiègne, France Semantic modeling Asset = fragment + indexing Content = structured set of assets + What kind of content and indexing do you need ? + Models focused on media file and distribution don't represent intermediary fragments or production knowledge + Only a production model can cope with the challenge of contributive production and fragment repurposing Asset description is only a mean to an end + There are as many ways to describe an asset as there are users and goals + Shooting script description is a good way to commission or search for fragments
  • 6. EMWRT 8 16, May 2013 – Compiègne, France Exogenous/Endogenous approaches File/Asset management + Exogenous models represent only the final result of the production (media file) + Abstraction levels are used to manage all the files having technical similarities or for information factoring but disregards editorial aspects or consequences + Endogenous models follow the dynamic of the production process to represent the fragment to-be-produced and its (multiple) manifestation(s) + An Asset is the combination of multiple components (editorial, sequence, file), each of which is representing an intermediary result of the production, making it possible to manage each component independently MPEG-7 Content Management
  • 7. EMWRT 8 16, May 2013 – Compiègne, France Knowledge and Assets in the production process + Planning : commission order, etc. + Shooting Script : editorial structure (shot, scene, etc.), framing, composition + Fabrication : multiple takes for one shot + Derushing : production report, takes selection/segmentation, etc. + Editing : take re-segmentation, editorial restructuration, multiple edits + Distribution : multiple releases (web, broadcast, etc.) + Archive : high-quality release + indexing
  • 8. EMWRT 8 16, May 2013 – Compiègne, France Exogenous/Endogenous approaches File/Asset description + Exogenous models use signal processing to build up information after production - mostly technical and morphological - also descriptive but with the semantic gap as a serious obstacle + Other models are used to associate administrative (production related) or domain/task-specific information to the file + Endogenous models collect knowledge as it is expressed/updated by contributors during production, thus facilitating - exchange information between contributors - custom-tailored knowledge selection and presentation - asset archiving and repurposing
  • 9. EMWRT 8 16, May 2013 – Compiègne, France MediãMāp approach endogenous during production exogenous for exploitation Associate any kind of knowledge to an asset Whenever needed in the process Whatever the methods used to create/collect it
  • 10. EMWRT 8 16, May 2013 – Compiègne, France Semantic Asset Management architecture Asset and knowledge gathering throughout the chain + Capture the domain knowledge contained in the production documents to build a descriptive Knowledge Base (KB) associated to AV fragments (commission order, shooting script, production report, etc.) + Model the production process in a KB to provide a custom-tailored view on commission order to each contributor depending on its role, skill, mission + Search and reuse intermediary fragments of the chain from a repository (shot, scene, take, edit, broadcast release, web release, archive, etc.) Semantic DB project (contributor, process, commission, deliverable, etc.) Semantic DB fragment (components, struture, description, etc.) Asset repository (media file, edit file, etc.)
  • 11. EMWRT 8 16, May 2013 – Compiègne, France Semantic modeling What kind of ontology are we building ? + Multimedia ontology are heterogeneous and mostly exogenous (MPEG-7 based, EBU-core, W3C Media annotation, etc.) + Heavyweight upper ontology are quite difficult to use for professionnal users (Dolce, ABC, SmartSUMO, etc.) + Lightweight ontologies are not built using ontological methodology (XML transformation, UML modelling) or lacks important formal features (disjointness, inverse relations, distinctive traits between sibling, etc.) There is a need for a middle way : a core ontology - easy to understand because focused on one domain - formally built to maximize inference and alignment
  • 12. EMWRT 8 16, May 2013 – Compiègne, France Production process organisation AV asset components and annotation Knowledge sharing and packaging Documentation and adaptation MediãMāp-core patterns
  • 13. EMWRT 8 16, May 2013 – Compiègne, France Production process organisation AV asset components and annotation Knowledge sharing and packaging Documentation and adaptation Semantic Asset Management
  • 14. EMWRT 8 16, May 2013 – Compiègne, France Semantic Asset Management Basic components Editorial : a piece of work, with its inner structure and upper grouping Content : a timecoded segment/edit on a file, usually related to an editorial object Resource : a sequence of digit (file or track)
  • 15. EMWRT 8 16, May 2013 – Compiègne, France Semantic Asset Management Basic example Editorial Object : 1 shot divided into 2 subshots (fixed, zoom in) Segment : 1 for the shot, 2 for the subshots Digital Resource : 1 media file
  • 16. EMWRT 8 16, May 2013 – Compiègne, France Semantic Asset Management Combining the components (traditional chain) PreProd Shot / Scene = Editorial Object + Annotation Production Rush = AV Media + Segment Rush report = AV Media + Segment + Annotation PostProd Edit = AV Media + Segment + Segmentation Exploitation Release = AV Media Archive = AV Media + Annotation Loss of information along the way (editorial structure and annotation)
  • 17. EMWRT 8 16, May 2013 – Compiègne, France Semantic Asset Management Combining the components (MM approach) PreProd Shot / Scene = Editorial Object + Annotation Production Rush = AV Media + Segment + Editorial Object Rush report = AV Media + Segment + Editorial Object + Annotation PostProd Edit = AV Media + Segment + Segmentation + Editorial Object + Annotation Exploitation Release = AV Media Archive = AV Media + Annotation Asset = AV Media + AV Media + Segment + Segmentation + Annotation + Editorial Object
  • 18. EMWRT 8 16, May 2013 – Compiègne, France Semantic description Editorial Object, Annotation, People and Location
  • 19. EMWRT 8 16, May 2013 – Compiègne, France Production process organisation AV asset components and annotation Knowledge sharing and packaging Documentation and adaptation Semantic process modeling
  • 20. EMWRT 8 16, May 2013 – Compiègne, France Semantic process modeling Contributors, mission, deliverable and asset components
  • 21. EMWRT 8 16, May 2013 – Compiègne, France Semantic process modeling Contributors and their commitment in the production
  • 22. EMWRT 8 16, May 2013 – Compiègne, France MediãMāp-core Follow us Release of the conceptual model planned on the TITAN website Contact mediamap.core@gmail.com bdiemert@gmail.com

Notes de l'éditeur

  1. Madame la présidente, Mesdames et messieurs les membres du jury, Honorable assistance bonjour. je vais vous présenter mon travail de thèse intitulé … Cette thèse a été effectuée au sein du laboratoire hDS de l'UTC, dans l'équipe Information, Connaissances Interaction sous la direction de MHA et BB. J'ai bénéficié d'un financement de
  2. Fragment is the new Asset
  3. Des commentateurs de compétition de jeux vidéo, Des tests de jeux vidéo des interviews d'artistes par des festivaliers
  4. Des commentateurs de compétition de jeux vidéo, Des tests de jeux vidéo des interviews d'artistes par des festivaliers
  5. Des commentateurs de compétition de jeux vidéo, Des tests de jeux vidéo des interviews d'artistes par des festivaliers
  6. Des commentateurs de compétition de jeux vidéo, Des tests de jeux vidéo des interviews d'artistes par des festivaliers
  7. Des commentateurs de compétition de jeux vidéo, Des tests de jeux vidéo des interviews d'artistes par des festivaliers
  8. Des commentateurs de compétition de jeux vidéo, Des tests de jeux vidéo des interviews d'artistes par des festivaliers
  9. Des commentateurs de compétition de jeux vidéo, Des tests de jeux vidéo des interviews d'artistes par des festivaliers
  10. Des commentateurs de compétition de jeux vidéo, Des tests de jeux vidéo des interviews d'artistes par des festivaliers
  11. Des commentateurs de compétition de jeux vidéo, Des tests de jeux vidéo des interviews d'artistes par des festivaliers
  12. Des commentateurs de compétition de jeux vidéo, Des tests de jeux vidéo des interviews d'artistes par des festivaliers
  13. Des commentateurs de compétition de jeux vidéo, Des tests de jeux vidéo des interviews d'artistes par des festivaliers
  14. Des commentateurs de compétition de jeux vidéo, Des tests de jeux vidéo des interviews d'artistes par des festivaliers
  15. Des commentateurs de compétition de jeux vidéo, Des tests de jeux vidéo des interviews d'artistes par des festivaliers
  16. Des commentateurs de compétition de jeux vidéo, Des tests de jeux vidéo des interviews d'artistes par des festivaliers
  17. Des commentateurs de compétition de jeux vidéo, Des tests de jeux vidéo des interviews d'artistes par des festivaliers
  18. Des commentateurs de compétition de jeux vidéo, Des tests de jeux vidéo des interviews d'artistes par des festivaliers
  19. Des commentateurs de compétition de jeux vidéo, Des tests de jeux vidéo des interviews d'artistes par des festivaliers
  20. Des commentateurs de compétition de jeux vidéo, Des tests de jeux vidéo des interviews d'artistes par des festivaliers
  21. Des commentateurs de compétition de jeux vidéo, Des tests de jeux vidéo des interviews d'artistes par des festivaliers
  22. Des commentateurs de compétition de jeux vidéo, Des tests de jeux vidéo des interviews d'artistes par des festivaliers