1. The document discusses practical applications of AI in media production and broadcast, including use cases like scripted/unscripted entertainment, transcription and archiving, closed captions, and localization. 2. It describes Limecraft's cloud-based workflow automation platform that uses AI for tasks like automated logging, computer-assisted editing, subtitling and localization to reduce costs and improve efficiency. 3. Case studies show how the platform has helped productions like a daily soap opera streamline workflows and deliver content like timed subtitles without manual post-processing.

1. © LIMECRAFT
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Practical Applications of AI in Media Production and
Broadcast
(Contact : info@limecraft.com)

2. LIMECRAFT
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Copyright 2016 Limecraft , NV. Confidential – Distribution prohibited without permission
• Intro and Solution Overview
• Use Case 1 – Scripted and Unscripted Entertainment
• computer assisted logging, transcript-based edit, transfer to edit
• Key Feature: Automated processing of raw material, computer assisted logging
• Use Case 2 – Transcription and Archiving
• computer assisted logging, transcript-based edit, transfer to edit
• Key feature: AI (ASR, NER, deep captioning)
• Use Case 3 – Closed Captions
• same-language subtitling for accessibility purposes
• Key feature: automatic “spotting”
• Use Case 4 – Localisation
• Translated subtitles for localization of content
• Key feature: machine translation and timecode management
• About Limecraft• A
Agenda

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000. Introduction and Solution Overview

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001. | State of the Art
State of the Art
• Manual transcription and “annotation”
• Unstructured ”meta” information
• Limited collaboration potential
Traditional methods don’t scale
• Increasing volumes of raw material
• Increasing post-production cost
• Several output versions versions

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LIMECRAFT
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COR
E
Editing
(Avid Media Composer/Adobe
Premiere/ Apple FC)
Transcoding/EDL Processing/Machine Transcription/Machine Translation/…
On Premise Media Asset
Management System
Customer or Cloud
infrastructure
Logging
(Flow)
Ingest
(Edge)
Subtitling
(Flow)
Editing
Gateway
(Edge)
Shoot
(ARRI, Sony, RED, Panasonic,
Canon)
Transcription
(Limecraft ‘Transcriber’)
Existing
Application
Landscape
Limecraft
Platform
Value
Added3rd
Partyapps
On Premise Media Asset
Management System
Customer or Cloud
infrastructure
Cloud Connector
3rd party Cloud
infrastructure
000. Limecraft Platform

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© LIMECRAFT
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Limecraft Flow is a cloud-based
Asset Management and Workflow
Automation platform
Key Features
• Cloud-based
• White labeled
• Turn-key integration with any existing
storage, tape and MAM solutions
• Flexibly Customisable Workflows
• API to access individual micro-
services
Using AI for automation
• Production: automate logging
• Post-production: computer assisted
edit
• Mastering: subtitling and localisation
Key Benefits to end user
• No loss of material or redundant

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© LIMECRAFT
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How can we take advantage of
Artificial Intelligence (AI)?
– Which data?
– How to handle inaccuracy?
– What’s the benefit for production?

8. 001. Use Case 1 – Ingest and Transfer to Edit

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Limecraft automatically processes
dailies overnight.
Using speech-to-text, shots are
automatically cut into scenes.
Key Features
• 1000 files per day automatically
tagged
• Overall version control
• Local storage, online collaboration
Key Benefits
• No loss of material or redundant
copies
• Faster access for review and pre-cut
• Reduction of the turn around time

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Limecraft “Edge” for on site processing
• Local Client for offload, dailies encoding
• Play-out of native formats
• Automated audio sync and colour grading
• Checksum verification after each transfer
• Transfer to Edit platform/PAM/MAM
Key benefits
• Ease of use – a single tool for offload, encoding of proxies and
ingest
• Multiple parallel transfers in a single operation
• Maximum protection against errors
001. Edge

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Copyright 2019 Limecraft , NV. Confidential – Distribution prohibited without permission
Raw Footage on Offline storage
Limecraft
Cloud Connector
Edge Client
Limecraft Flow
Headquarters
001. More complex Avid Integration

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Case Study: ‘Un si grand soleil’ by France Télévisions
Format
• Daily soap
• Shot in Montpellier, cut in Paris
• 3 studios, Multi-cam, VFX on set
Challenges
• 8 files per “shot”, up to 1000 files per day
• High post-production rythm: 1 episode per day
• Deliver the master data to enable interactive output
Solution
• Integrate script and breakdown
• Automated transfer back and forth Avid Interplay, grading, VFX, Sound
• Delivers timed subtitles and master data without manual post processing
More info : https://www.limecraft.com/2020/02/16/case-study-the-sun-chronicles/

13. 002. Use Case 2 – Transcription and Archiving

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ASR automatically turns audio into
timed text in 122 languages.
Using complementary NLP and
NER, we can automatically tag and
categorize content fragments.
Use Cases
• Machine transcription
• Manual post-editing for 100%
accuracy
• Auto-tagging
• Ease of searching
• Text-based pre-cut (paper-edit)

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19.2 | Product Update: Named Entity Recognition

17. Centralized and structured transcription and logging of material
-> Faster cataloguing, better search and retrieval, offline edit
– Supervised or unsupervised Machine transcription (ASR)
and Named Entity Recognigion
– Manual Post-editing of the Transcript
• Correct segmentation and interpunction
• Correct recognition errors
– Search and Selection
• Every word is time-coded
• Pick specific parts or subclips to an order or shopping basket
– Hand-over to Edit Workstation or Archive
• Compatible with Avid MC, Avid Interplay, Adobe Premiere

18. 003. Use Case 3 – Subtitling

19. Automatic creation of subtitles
– Machine transcription
– Spotting rules
– Delivered in a variety of formats, including EBU-TT-D, SRT, STL,
etc.
Key benefits
– 50% cost saving compared to manual subtitling
– Producers and distributors can create subtitles themselves
– Retain the rights of the subtitles

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003. Subtitling
Objective
• Shorter cycle time
• Significant cost reduction
Findings (Victoria Barlow, key user)
• I never even read the instructions. So I just went straight in and it was easy to figure out what I needed to do.
• It was super easy for me to tweak the words, the timings, placement,…
• Small things, which could be easily overlooked, like when I tweaked some words then hit play, the video automatically skips
back a couple of seconds so I hear and see what I did, without having to scroll back myself – genius.
• Having he warnings pop up when my subtitle chunks were too long is a really nice learning tool, and saves me having to
manually check
Challenge
• Cut transcription into closed captions,
taking into account BBC style guide
Solution
• Full-featured subtitle editor

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004. Full Automation

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23. 1. Auto-transcription of logging forms the basis
for the next step: assistance of localized
subtitling
• Together with BBC we’ve been working on
providing subtitling workflows to end users
– Journalists, content producers who typically have
no easy direct access or budget to subtitling

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004. Subtitling
Objective
• Shorter cycle time
• Significant cost reduction
Achieved (Victoria Barlow, key user)
• I never even read the instructions. So I just went straight in and it was easy to figure out what I needed to do.
• It was super easy for me to tweak the words, the timings, placement,…
• Small things, which could be easily overlooked, like when I tweaked some words then hit play, the video automatically skips
back a couple of seconds so I hear and see what I did, without having to scroll back myself – genius.
• Having he warnings pop up when my subtitle chunks were too long is a really nice learning tool, and saves me having to
manually check
Challenge
• Cut transcription into closed captions,
taking into account BBC style guide
Solution
• Full-featured subtitle editor

25. 004. Use Case 4 – Localisation

26. Localisation is a different ball game
– Using Machine translation (not Automatic Speech
Recognition)
– Not intended for the hard of hearing
– Maintain consistent timing
Using Machine Translation
– Translating existing subtitles (the “Template”)
– Adding non-domestic subtitles at marginal cost
– Enabling producers and distributors to extend their reach

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Business Case - Subtitling and localisation
Subtitling and localisation
• Translation of scripts and subtitles
• Supports >100 languages
• Automatic Spotting
Key features
• Secure online service – no downloads required
• Configurable spotting rules
• Computer Assisted QC
Business Case
• Saves up to 80% of the cost due to manual work
• Reduces the turn around time
Free try available : www.limecraft.com

29. 005. About Limecraft

30. LIMECRAFT
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Limecraft: The Company
• Incorporated May 2010, privately owned
• Market – Film, Television and Corporate Video
• Solution – Cloud-based Workflow Automation and Media Asset Management
Video Production worldwide: growing market with compelling opportunities
• Industry under pressure to move towards full digital transformation
• Government regulations invoke change and investments (subtitling)
• Rise of VOD Platforms results in massive demand of more and faster
productions
Limecraft’s Value Proposition disrupting the current production process
• 80% savings in direct production costs
• Increased efficiency cuts 30% of the post-production cost
• Creating alternative versions (outputs) at marginal cost
About Limecraft

31. LIMECRAFT
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Media
Asset Mgnt
Limecraft Flow : From File-based Production to a more Scalable Industrial Process
 In the cloud where possible, local where necessary
 Replace paper documents by browser-based(!) applications
 Interconnect pre-existing Asset Management and Storage Services
 Metadata processing reduces turn-around times
 Maximum collaboration and re-use of content
31.

32. LIMECRAFT
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Post-Production MasteringProduction
Conventional video production involves a lot of
manual work and excessive file transfers. This is
hard to scale.
Due to the rise of VOD platforms, there’s a
increasing demand
• to process more material on the input side
• to create more versions on the output side
Limecraft Flow: AI assisted workflows to INDUSTRIALISE media production
MASTERINGCOST
OUTPUT VERSIONS
PRODUCTIONCOST
RAW MATERIAL
conventional
conventional
Limecraft
Limecraft
reduce the cost of material intake
(400$>80$ per shooting day)
online collaboration offloads
30% of the edit suite capacity
different versions at marginal cost
(15$ > 1$ per minute)
80% SAVINGS 30% EFFICIENCY X10 PRODUCTIVITY
Business Case – how Limecraft Flow addresses today’s Production Challenges