SlideShare una empresa de Scribd logo
1 de 61
Peter Defreyne, VRT-medialab Innovation in file-basedproduction
Overview Enabling File-basedWorkflows New Challenges in File-basedProduction CHAMP Platform UseCase Tournée Générale Future of File-basedProduction Conclusion 2
Overview Enabling File-basedWorkflows New Challenges in File-basedProduction CHAMP Platform UseCase Tournée Générale Future of File-basedProduction Conclusion 3
Linear push workflow model Tape-basedworkflows Swamped Tape Flexicard Room Cut-cut Editing News Play-Out Centre Urgent claim by News Follow-Up Finished Items Editor-in-chief Central Play-out Centre Rough Editing Craft Editing Subtitling Graphics Studio Production Can be lost or  Over- written Item too late Copy To Tape Archiving Metadata Lagtile = Real-Time Tape to Tape + Transport Sequential Workflow Model 4
Centralized workflow model File-basedWorkflowsusing IT Technology Concurrent engineering Processing  during ingest/transfer Browse Clients Craft editors Draft  Processing POST Production Media Asset Mgmt Subtitling   Analysis INGEST PLAY-OUT IP network Archiving Annotation 8 GB P2 card = 32 min video DV25 (news) Central Storage Follow-up continuity Post- sonorisation Editor-in-Chief Collaboration Model Central storage 5
File-basedWorkflowsusing IT Technology Interoperability File wrapper Compression format Uncompressed essence Uncompressed essence MXF MXF MXF Compressed essence MXF 6
File-basedWorkflowsusing IT Technology Interoperability IT infrastructure IT Storage IT Networks Guaranteed performance IP Network Ingest Online Archive NearlineArchive Post Playout 7
File-basedWorkflowsusing IT Technology Interoperability IT infrastructure Media asset management Asset management Metadata & search Descriptivemetadata Version 1: MXF OP1A, AVC-I Central WIP Post Central Archive Asset Version 2: MXF OPATOM, AVC-I Technical Metadata Version 3: QT, H.264 1 Asset => many files!! 8
File-basedWorkflowsusing IT Technology Interoperability IT infrastructure Media asset management Automation & orchestration Service OrientedArchitectures (SOA) Standardization (EBU-AMWA FIMS) Vendor B Vendor A Vendor C Transcode Service Transfer Service Rewrap Service Enterprise Service Bus QC Service Ingest … 9
File-basedWorkflowsusing IT Technology Interoperability IT infrastructure Media asset management Automation & orchestration Partners VRT, EBU, AMWA, SMPTE, IBM, Cisco, Avid, Apple, IRT, Video Promotion, Porthus, IBCN, MMLab, ETRO, PATS, IBBT, Alcatel-Lucent, Videohouse, … Major Projects FIPA GEISHA IPSA & IPSA2 HD-BMP PMWoC 10
11
Overview EnablingFile-basedWorkflows New Challenges in File-basedProduction The Programme Maker Takes Centre Stage Consumerization & Tablets Multi-platform Storytelling CHAMP Platform UseCase Tournée Générale Future of File-basedProduction Conclusion 12
The Programme Maker Takes Centre Stage Survey File-basedProduction in Belgium Creative Sector Technology Sector 	Production companies Cobra.be & Cobra TV Sputnik Vlaanderen Vakantieland Kanakna Zonde van de Zendtijd 	Producers Filip Callewaert Stef Wouters 	Publishers Roularta Concentra 	Technology companies Videohouse EVS Limecraft CandIT-media Comsof 13
The Programme Maker Takes Centre Stage CurrentSituation Many ad hoc solutions Lots of integration effort No onesize fits all 14
The Programme Maker Takes Centre Stage Creating Value for the Programme Maker Consistent Flow of Information Collaboration Platform Collaborative story-writing Sharing documents in real-time Versioning, review & approval Producer orchestration role Planning tools … Throughoutproduction steps Interoperable information tools Avoidloss of metadata Increased Flexibility Fit-for-purpose Tools Simple, fit-for-purpose, interoperableapps Instead of Ad hoc workflows Complex one-size-fits-all tools Location-independent Network-transparent Software: e.g. editing Formats: compression, file Hardware: camera, laptop 15
The cloud Technology Trends Consumerization ,[object Object]
Powerful laptops
Professional software
Mobile devices
Prosumer cameras
Powerful laptops
Professional software
Mobile devices16
Technology trends Tablets in Media Production Roughcut editing Storyboarding Script editing View rushes Annotation Portable – Easy touse - Connectivity Wi-Fi & 3G 17
Multi-platform storystelling New Business OpportunitiesforBroadcasters Multiple distribution platforms Digital relationship with media consumer Integrated, interactiveadvertising ,[object Object],18
Overview EnablingFile-basedWorkflows New Challenges in File-basedProduction CHAMP Platform Architecture & Challenges Use Case Tournée Générale Future of File-basedProduction Conclusion 19
Champ Platform Architecture & Challenges Fit-for-purpose webapps Story-centric data model New production formats Integrateexistingsolutions Media workflowsin the cloud Security & rightsmgmt Picture Services Asset Mgmt Document Mgmt TV CHAMP Platform Interactive Web Story-centric data Social Mobile Research Video … Interactivity Script Script Call Sheet Editing User-centric approach: validationfor different use cases Storage Services 20
Overview EnablingFile-basedWorkflows New Challenges in File-basedProduction CHAMP Platform UseCase Tournée Générale Future of File-basedProduction Conclusion 21
Fit-for-purposewebapps in pre-productionandproduction Organizeproduction information using story-centricdatamodel Increased flexibility bysupporting mobile devices (e.g. tablet)
Overview EnablingFile-basedWorkflows New Challenges in File-basedProduction CHAMP Platform UseCase Tournée Générale Future of File-basedProduction Conclusion 53
Future of file-basedproduction ProductionWorkflows in the Cloud Hosted Cloud (Public) Portable Cloud Private Cloud Production Company > 1Gbit/s (Fibre/LAN) 20Mbit/s (Consumer internet) < 7,2 Mbit/s (Mobile 3G) Programme makers

Más contenido relacionado

Similar a Champ iMinds

Google Cloud Computing on Google Developer 2008 Day
Google Cloud Computing on Google Developer 2008 DayGoogle Cloud Computing on Google Developer 2008 Day
Google Cloud Computing on Google Developer 2008 Day
programmermag
 
Monitoring IAAS & PAAS Solutions
Monitoring IAAS & PAAS SolutionsMonitoring IAAS & PAAS Solutions
Monitoring IAAS & PAAS Solutions
Colloquium
 
OpenPackProcessingAccelearation
OpenPackProcessingAccelearationOpenPackProcessingAccelearation
OpenPackProcessingAccelearation
Craig Nuzzo
 

Similar a Champ iMinds (20)

DM Radio Webinar: Adopting a Streaming-Enabled Architecture
DM Radio Webinar: Adopting a Streaming-Enabled ArchitectureDM Radio Webinar: Adopting a Streaming-Enabled Architecture
DM Radio Webinar: Adopting a Streaming-Enabled Architecture
 
HIPAS UCP HSP Openstack Sascha Oehl
HIPAS UCP HSP Openstack Sascha OehlHIPAS UCP HSP Openstack Sascha Oehl
HIPAS UCP HSP Openstack Sascha Oehl
 
Google Cloud Computing on Google Developer 2008 Day
Google Cloud Computing on Google Developer 2008 DayGoogle Cloud Computing on Google Developer 2008 Day
Google Cloud Computing on Google Developer 2008 Day
 
Monitoring IAAS & PAAS Solutions
Monitoring IAAS & PAAS SolutionsMonitoring IAAS & PAAS Solutions
Monitoring IAAS & PAAS Solutions
 
WSO2Con USA 2015: Data to Consumer: End-to-End Middleware Capabilities
WSO2Con USA 2015: Data to Consumer: End-to-End Middleware CapabilitiesWSO2Con USA 2015: Data to Consumer: End-to-End Middleware Capabilities
WSO2Con USA 2015: Data to Consumer: End-to-End Middleware Capabilities
 
IOT with Drupal 8 - Webinar Hyderabad Drupal Community
IOT with Drupal 8 -  Webinar Hyderabad Drupal CommunityIOT with Drupal 8 -  Webinar Hyderabad Drupal Community
IOT with Drupal 8 - Webinar Hyderabad Drupal Community
 
Pm440 Presentation Black Cloud
Pm440 Presentation Black CloudPm440 Presentation Black Cloud
Pm440 Presentation Black Cloud
 
Real-time processing of large amounts of data
Real-time processing of large amounts of dataReal-time processing of large amounts of data
Real-time processing of large amounts of data
 
"The Suitcase" Project Cloud QTR meeting presentation @ Disney/ABC
"The Suitcase"  Project Cloud QTR meeting presentation @ Disney/ABC"The Suitcase"  Project Cloud QTR meeting presentation @ Disney/ABC
"The Suitcase" Project Cloud QTR meeting presentation @ Disney/ABC
 
"Update on Khronos Standards for Vision and Machine Learning," a Presentation...
"Update on Khronos Standards for Vision and Machine Learning," a Presentation..."Update on Khronos Standards for Vision and Machine Learning," a Presentation...
"Update on Khronos Standards for Vision and Machine Learning," a Presentation...
 
2019 HighPerformance Computing - Strategies for Machine Learning.pdf
2019 HighPerformance Computing - Strategies for Machine Learning.pdf2019 HighPerformance Computing - Strategies for Machine Learning.pdf
2019 HighPerformance Computing - Strategies for Machine Learning.pdf
 
Conquering Disaster Recovery Challenges and Out-of-Control Data with the Hybr...
Conquering Disaster Recovery Challenges and Out-of-Control Data with the Hybr...Conquering Disaster Recovery Challenges and Out-of-Control Data with the Hybr...
Conquering Disaster Recovery Challenges and Out-of-Control Data with the Hybr...
 
Arkena IMF case study
Arkena IMF case studyArkena IMF case study
Arkena IMF case study
 
OpenPackProcessingAccelearation
OpenPackProcessingAccelearationOpenPackProcessingAccelearation
OpenPackProcessingAccelearation
 
Audax Group: CIO Perspectives - Managing The Copy Data Explosion
Audax Group: CIO Perspectives - Managing The Copy Data ExplosionAudax Group: CIO Perspectives - Managing The Copy Data Explosion
Audax Group: CIO Perspectives - Managing The Copy Data Explosion
 
Solving enterprise challenges through scale out storage &amp; big compute final
Solving enterprise challenges through scale out storage &amp; big compute finalSolving enterprise challenges through scale out storage &amp; big compute final
Solving enterprise challenges through scale out storage &amp; big compute final
 
Large scale, cloud computing and scalability with Umbraco
Large scale, cloud computing and scalability with UmbracoLarge scale, cloud computing and scalability with Umbraco
Large scale, cloud computing and scalability with Umbraco
 
How T-Mobile Tamed Metron
How T-Mobile Tamed MetronHow T-Mobile Tamed Metron
How T-Mobile Tamed Metron
 
Achieving AI @scale on Mobile Devices
Achieving AI @scale on Mobile DevicesAchieving AI @scale on Mobile Devices
Achieving AI @scale on Mobile Devices
 
Evolution from EDA to Data Mesh: Data in Motion
Evolution from EDA to Data Mesh: Data in MotionEvolution from EDA to Data Mesh: Data in Motion
Evolution from EDA to Data Mesh: Data in Motion
 

Más de vrt-medialab

Multischermenonderzoek
MultischermenonderzoekMultischermenonderzoek
Multischermenonderzoek
vrt-medialab
 
Taming your media chaos
Taming your media chaosTaming your media chaos
Taming your media chaos
vrt-medialab
 
Presentatie iMinds MediaCRM
Presentatie iMinds MediaCRMPresentatie iMinds MediaCRM
Presentatie iMinds MediaCRM
vrt-medialab
 
Evaluatiestudie VillaSquare
 Evaluatiestudie VillaSquare Evaluatiestudie VillaSquare
Evaluatiestudie VillaSquare
vrt-medialab
 
iMinds VillaSquare evaluation IBBT-SMIT
iMinds VillaSquare evaluation IBBT-SMITiMinds VillaSquare evaluation IBBT-SMIT
iMinds VillaSquare evaluation IBBT-SMIT
vrt-medialab
 
Multischermenonderzoek
MultischermenonderzoekMultischermenonderzoek
Multischermenonderzoek
vrt-medialab
 
Exploring your media with the Semantic Web
Exploring your media with the Semantic WebExploring your media with the Semantic Web
Exploring your media with the Semantic Web
vrt-medialab
 

Más de vrt-medialab (20)

Multischermenonderzoek
MultischermenonderzoekMultischermenonderzoek
Multischermenonderzoek
 
Browser as a broadcast medium
Browser as a broadcast mediumBrowser as a broadcast medium
Browser as a broadcast medium
 
Taming your media chaos
Taming your media chaosTaming your media chaos
Taming your media chaos
 
Presentatie iMinds MediaCRM
Presentatie iMinds MediaCRMPresentatie iMinds MediaCRM
Presentatie iMinds MediaCRM
 
Evaluatiestudie VillaSquare
 Evaluatiestudie VillaSquare Evaluatiestudie VillaSquare
Evaluatiestudie VillaSquare
 
iMinds VillaSquare evaluation IBBT-SMIT
iMinds VillaSquare evaluation IBBT-SMITiMinds VillaSquare evaluation IBBT-SMIT
iMinds VillaSquare evaluation IBBT-SMIT
 
Building second screen TV apps
Building second screen TV appsBuilding second screen TV apps
Building second screen TV apps
 
Multischermenonderzoek
MultischermenonderzoekMultischermenonderzoek
Multischermenonderzoek
 
Exploring your media with the Semantic Web
Exploring your media with the Semantic WebExploring your media with the Semantic Web
Exploring your media with the Semantic Web
 
BDMA workshop presentation - Using the Second Screen - MediaSquare - MediaCRM
BDMA workshop presentation - Using the Second Screen - MediaSquare - MediaCRMBDMA workshop presentation - Using the Second Screen - MediaSquare - MediaCRM
BDMA workshop presentation - Using the Second Screen - MediaSquare - MediaCRM
 
Champ Pitch Celtic-Plus Event 2011
Champ Pitch Celtic-Plus Event 2011Champ Pitch Celtic-Plus Event 2011
Champ Pitch Celtic-Plus Event 2011
 
video for html5
video for html5video for html5
video for html5
 
html5 an introduction
html5 an introductionhtml5 an introduction
html5 an introduction
 
Boost your search with semantic technology
Boost your search with semantic technologyBoost your search with semantic technology
Boost your search with semantic technology
 
Media Square : platform for second screen experiences
Media Square : platform for second screen experiencesMedia Square : platform for second screen experiences
Media Square : platform for second screen experiences
 
MediaSquare - Check into your favourite media
MediaSquare - Check into your favourite mediaMediaSquare - Check into your favourite media
MediaSquare - Check into your favourite media
 
Transmedia
TransmediaTransmedia
Transmedia
 
The media consumer
The media consumer The media consumer
The media consumer
 
MediaCRM - Putting the media customer first
MediaCRM - Putting the media customer firstMediaCRM - Putting the media customer first
MediaCRM - Putting the media customer first
 
Tablets as second screen, future possibilities
Tablets as second screen, future possibilitiesTablets as second screen, future possibilities
Tablets as second screen, future possibilities
 

Último

Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
giselly40
 
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
vu2urc
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
Enterprise Knowledge
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
Earley Information Science
 

Último (20)

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
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
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
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
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
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...
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 

Champ iMinds

  • 1. Peter Defreyne, VRT-medialab Innovation in file-basedproduction
  • 2. Overview Enabling File-basedWorkflows New Challenges in File-basedProduction CHAMP Platform UseCase Tournée Générale Future of File-basedProduction Conclusion 2
  • 3. Overview Enabling File-basedWorkflows New Challenges in File-basedProduction CHAMP Platform UseCase Tournée Générale Future of File-basedProduction Conclusion 3
  • 4. Linear push workflow model Tape-basedworkflows Swamped Tape Flexicard Room Cut-cut Editing News Play-Out Centre Urgent claim by News Follow-Up Finished Items Editor-in-chief Central Play-out Centre Rough Editing Craft Editing Subtitling Graphics Studio Production Can be lost or Over- written Item too late Copy To Tape Archiving Metadata Lagtile = Real-Time Tape to Tape + Transport Sequential Workflow Model 4
  • 5. Centralized workflow model File-basedWorkflowsusing IT Technology Concurrent engineering Processing during ingest/transfer Browse Clients Craft editors Draft Processing POST Production Media Asset Mgmt Subtitling Analysis INGEST PLAY-OUT IP network Archiving Annotation 8 GB P2 card = 32 min video DV25 (news) Central Storage Follow-up continuity Post- sonorisation Editor-in-Chief Collaboration Model Central storage 5
  • 6. File-basedWorkflowsusing IT Technology Interoperability File wrapper Compression format Uncompressed essence Uncompressed essence MXF MXF MXF Compressed essence MXF 6
  • 7. File-basedWorkflowsusing IT Technology Interoperability IT infrastructure IT Storage IT Networks Guaranteed performance IP Network Ingest Online Archive NearlineArchive Post Playout 7
  • 8. File-basedWorkflowsusing IT Technology Interoperability IT infrastructure Media asset management Asset management Metadata & search Descriptivemetadata Version 1: MXF OP1A, AVC-I Central WIP Post Central Archive Asset Version 2: MXF OPATOM, AVC-I Technical Metadata Version 3: QT, H.264 1 Asset => many files!! 8
  • 9. File-basedWorkflowsusing IT Technology Interoperability IT infrastructure Media asset management Automation & orchestration Service OrientedArchitectures (SOA) Standardization (EBU-AMWA FIMS) Vendor B Vendor A Vendor C Transcode Service Transfer Service Rewrap Service Enterprise Service Bus QC Service Ingest … 9
  • 10. File-basedWorkflowsusing IT Technology Interoperability IT infrastructure Media asset management Automation & orchestration Partners VRT, EBU, AMWA, SMPTE, IBM, Cisco, Avid, Apple, IRT, Video Promotion, Porthus, IBCN, MMLab, ETRO, PATS, IBBT, Alcatel-Lucent, Videohouse, … Major Projects FIPA GEISHA IPSA & IPSA2 HD-BMP PMWoC 10
  • 11. 11
  • 12. Overview EnablingFile-basedWorkflows New Challenges in File-basedProduction The Programme Maker Takes Centre Stage Consumerization & Tablets Multi-platform Storytelling CHAMP Platform UseCase Tournée Générale Future of File-basedProduction Conclusion 12
  • 13. The Programme Maker Takes Centre Stage Survey File-basedProduction in Belgium Creative Sector Technology Sector Production companies Cobra.be & Cobra TV Sputnik Vlaanderen Vakantieland Kanakna Zonde van de Zendtijd Producers Filip Callewaert Stef Wouters Publishers Roularta Concentra Technology companies Videohouse EVS Limecraft CandIT-media Comsof 13
  • 14. The Programme Maker Takes Centre Stage CurrentSituation Many ad hoc solutions Lots of integration effort No onesize fits all 14
  • 15. The Programme Maker Takes Centre Stage Creating Value for the Programme Maker Consistent Flow of Information Collaboration Platform Collaborative story-writing Sharing documents in real-time Versioning, review & approval Producer orchestration role Planning tools … Throughoutproduction steps Interoperable information tools Avoidloss of metadata Increased Flexibility Fit-for-purpose Tools Simple, fit-for-purpose, interoperableapps Instead of Ad hoc workflows Complex one-size-fits-all tools Location-independent Network-transparent Software: e.g. editing Formats: compression, file Hardware: camera, laptop 15
  • 16.
  • 24. Technology trends Tablets in Media Production Roughcut editing Storyboarding Script editing View rushes Annotation Portable – Easy touse - Connectivity Wi-Fi & 3G 17
  • 25.
  • 26. Overview EnablingFile-basedWorkflows New Challenges in File-basedProduction CHAMP Platform Architecture & Challenges Use Case Tournée Générale Future of File-basedProduction Conclusion 19
  • 27. Champ Platform Architecture & Challenges Fit-for-purpose webapps Story-centric data model New production formats Integrateexistingsolutions Media workflowsin the cloud Security & rightsmgmt Picture Services Asset Mgmt Document Mgmt TV CHAMP Platform Interactive Web Story-centric data Social Mobile Research Video … Interactivity Script Script Call Sheet Editing User-centric approach: validationfor different use cases Storage Services 20
  • 28. Overview EnablingFile-basedWorkflows New Challenges in File-basedProduction CHAMP Platform UseCase Tournée Générale Future of File-basedProduction Conclusion 21
  • 29. Fit-for-purposewebapps in pre-productionandproduction Organizeproduction information using story-centricdatamodel Increased flexibility bysupporting mobile devices (e.g. tablet)
  • 30.
  • 31.
  • 32.
  • 33.
  • 34.
  • 35.
  • 36.
  • 37.
  • 38.
  • 39.
  • 40.
  • 41.
  • 42.
  • 43.
  • 44.
  • 45.
  • 46.
  • 47.
  • 48.
  • 49.
  • 50.
  • 51.
  • 52.
  • 53.
  • 54.
  • 55.
  • 56.
  • 57.
  • 58.
  • 59.
  • 60. Overview EnablingFile-basedWorkflows New Challenges in File-basedProduction CHAMP Platform UseCase Tournée Générale Future of File-basedProduction Conclusion 53
  • 61. Future of file-basedproduction ProductionWorkflows in the Cloud Hosted Cloud (Public) Portable Cloud Private Cloud Production Company > 1Gbit/s (Fibre/LAN) 20Mbit/s (Consumer internet) < 7,2 Mbit/s (Mobile 3G) Programme makers
  • 62. Future of file-basedproduction ProductionWorkflows in the Cloud Transmedia Production & Publishing Traditional workflow (TV+ web) TV Story-editing Production Post Production TV Production Team Web Story-editing (Production) Post Production Research Web Production Team TV Post Production Research Transmedia Story-editing Production Transmedia workflow Mobile Web Web Production Team Post Production TV Production Team Print? Interactive Shared Research Social
  • 63. Future of file-basedproduction ProductionWorkflows in the Cloud Transmedia Production & Publishing EnablingCollaborationfornew Use Cases Print / digital publishing Citizenjournalism Advertisement production E-learning … 56
  • 64. Future of file-basedproduction ProductionWorkflows in the Cloud Transmedia Production & Publishing EnablingCollaborationfornew Use Cases Standardization in Automation (EBU-AMWA FIMS) 57
  • 65. Future of file-basedproduction ProductionWorkflows in the Cloud Transmedia Production & Publishing EnablingCollaborationfornew Use Cases Standardisation in Automation (EBU-AMWA FIMS) Quality Higherresolutions (NHK) Higherframerates (BBC) Multiscreen delivery Quality control 58
  • 66. Overview EnablingFile-basedWorkflows New Challenges in File-basedProduction CHAMP Platform UseCase Tournée Générale Future of File-basedProduction Conclusion 59
  • 67. Conclusion Innovation in File-BasedProduction Confidence in File-basedTechnology New Challenges & OpportunitiesAhead Focus on… Operational Excellence (efficiency & cost) AND Differentiating Technology (transmedia, quality, flexibility, …) 60