SlideShare a Scribd company logo
www.joanneum.at/digital
DIGITAL - Institute for Information and
Communication Technologies
Are Your Digitised Files Really OK?
Levels of QC for Video and Film Digitisation
Peter Schallauer
FIAT/IFTA Conference, Oct. 20th 2017
2
Overview
AV-File Layers and related QC Types
Types of Digitization QC: Goals, Features, Experiences
Standards Compliance QC
AudioVisual Media Migration QC
ORF video migration use case
Indiana University film digitization use case
Content and Metadata QC
Conclusions per QC Type
3
AV-File Layers and QC Types
Wrapper (MXF, MOV, MKV…)
Encoded Bitstreams (MPEG-4 AVC, JPG2000, PCM, FFV1....)
Essence (Decoded Raw Pictures & Audio)
Standards
Compliance
QC
AVMigration
QC
ContentQC
Metad.
QC
4
Standards Compliance QC
To ensure that the file is compliant with a specific file wrapper, encoding standard and application profile
for today and future compatibility
Wrapper Metadata and Structure
Descriptive MD, technical MD (visual & audio enc.), MXF index table, ….
Bitstream Metadata and Structure (for each visual and audio stream)
E.g. resolution, bitrate, field order, GOP structure….
Application Profiles how a standard is used for a specific application
DPP, UK, Nordic C., US
AS11: Requirements for the production and delivery of programs (SD, HD, UHD) to broadcasters
ARD-ZDF, DE
HDF01, HDF02 and HDF03: MXF profiles for the exchange of programs between broadcasters
AS-07, US
MXF profile for Archive & Preservation of AV content
Including timecodes, captions, subtitles, core descriptive metadata set, segmentation metadata, embedded content
integrity data….
5
AudioVisual Media Migration QC
Video
To ensure that migration from the source media to the target media/file do not introduce unwanted audiovisual
defects to the target media/file
To detect earlier generation migration issues in order to re-migrate if earlier generation is still available
To detect and document AV issues for future restoration
Essence defect detection and verification functions relevant for digital and analogue video tape migration
Block Dropout for all DCT based encoding formats
DigiBeta Dropout
Macroblocking
Analogue Sync Errors for severe line & field synchronization errors, e.g. on Beta SP, 1”…
Vertical Interlaced Time Code (VITC): Present/Non-Present, Static, Discontinuity)
Black & Single Coloured Frames, Test Pattern to detect specific image content which should not be in programme
Field Order, Freeze Frame
Black Bar / Aspect Ratio
Gamut/Clipping Error
Audio Silence, Peaks/Clipping, Phase, Hum
Integration of VTR info
Video and Audio Channel Condition (ISR)
TC Discontinuities
RF Level of video head
:
6
AudioVisual Media Migration QC
Use Case ORF | Video
ORF Digital Migration project
600.000 tapes, 300.000 hrs in total
DigiBETA and IMX
10 years (2016-2026)
Target format: D10 (MPEG-2 and PCM in MXF)
Workflow
Quality Control
Throughput: ~130 hrs per day (migration and content QC)
~12 min. of QC operator time per content h (migration and content QC)
VidiCert Summary
Interactive Verification/Decision
Raw
Quality
Report
Verified
Quality
Report
VidiCert Analyser
Automatic Baseband Analysis
VTR
Defect
Info
Migration/Transfer
Action (e.g. Clean, Re-Ingest)
Documentation
Digital
Restoration
Archive Asset
Mgt. System
Defect Info
VTR: mostly Sony M-2000P, some A-2000P & M-2100P Migration/Transfer: NOA Frame Lector v1.7, QC: JOANNEUM RESEARCH VidiCert v3.5
7
AudioVisual Media Migration QC
QC Statistics | Use Case ORF | Video
Evaluation period: June 16 – Sept. 17
52.822 files, 42.002 hrs, avg. file duration: ~48 min.
Human Verified Defect Detections by Source, and its Temporal Correlation
Detection Source VTR Defect Info
Channel Condition TC Discontinuity
VidiCert
Analyser
Verified Defects 21.810 35.798 Sum: 57.608
Analog Syncr. Error 38.967 1.197 4.651
DigiBETA Dropout 7.259 372 725
Block Dropout 12.092 1.890 4.651
Macroblocking 4.684 414 1.195
Black Frames 12.434 49 257
Grey Frames 1.787 83 74
Test Pattern 1.667 1 0
Silence 253.519 5.310 11.378
Sum: 332.454
~400.000 defects in total,
~10 defects per h
VidiCert baseband analysis
detects significantly more
than VTR
Temporal overlap between VC
and VTR is low (=detections
are complementary)
VTR: TC-Disc. is more
relevant than C.C.
8
AudioVisual Media Migration QC
QC Statistics | Use Case ORF | Video
Evaluation period: June 16 – Sept. 17
52.822 files, 42.002 hrs, avg. file duration: ~48 min.
55,74 10,06 34,19
Detection Source for Visual Defects [%]
VidiCert Analyser Visual Detectors Both VTR Ch. Cond. & TC-Discont.
80,82 5,59 13,58
Detection Source for Audio Defects [%]
VidiCert Analyser Audio Detector Both VTR Ch. Cond. & TC-Discont.
84,55 6,62 8,83
Detection Source for Audio+Visual Defects [%]
VidiCert Analyser Visual&Audio Both VTR Ch. Cond. & TC-Discont.
9
AudioVisual Media Migration QC
Film
To ensure that migration from film to file do not introduce unwanted audiovisual defects
To detect and document AV issues for analogue and digital restoration
Defect detection and verification functions relevant for film migration
Out of Focus/Blurriness
Dust/Dirt/Hair
Film Grain Noise
Freeze Frame
Framing Error
Under&Over Exposure
Contrast/Luminance Range
Cadence
Black & Single Coloured Frames
Black Bar / Aspect Ratio
Macroblocking
Audio Silence, Level, Peaks/Clipping, Phase, Hum
Integration of scanner sensor data
Perforation/Shrinkage
Light
Splices
:
10
AudioVisual Media Migration QC
Use Case Indiana University | Film
IU MPDI Film Digitisation Project
25.000 movies, 12.500 hrs in total
Three years (2017-2020)
Target resolution: 2k for 8 and 16 mm, 4k for 35mm
Target formats: DPX 10 bit log, ProRES HQ4444
Workflow
Quality Control
Throughput: ~32 hrs/day
Overscan and crop versions are QC’d
Film Scanning
by Service Povider (Memnon)
VidiCert Film Digitisation QC
by Indiana University
VidiCert Summary
(Interactive Verification)
Raw
Quality
Report
Verified
Quality
Report
Scan Data
Action (e.g. Re-Scan)
Documentation
VidiCert Analyser
(Automatic Analysis)
Restoration
Archival Package
DIAMANT-Film
Restoration
Scanner: Lasergraphics QC: JOANNEUM RESEARCH VidiCert v4.1
11
Content and Metadata QC
To ensure that
content in created files is complete
content and respective metadata stored in content/asset management system are consistent
Why
Essential for any automated archive content usage scenario
Essential if destruction of media (tapes, film) desired after migration
12
Content & Metadata QC
Use Case ORF
VC supported content QC functions
is file content correct and complete
Title, trailer
audio channel allocation/encoding/content
consistent
start/end timecodes exact and consistent
scanning type (interlaced, progressive,
pull-down) and field order consistent
QC may results in
Re-Ingest (of same or alternative copy)
MAM metadata updates/corrections
VidiCert Summary
File Content Check
Raw
Quality
Report
VidiCert Analyser
Automatic Baseband Analysis
Verified
Quality
Report
Archive MAM
System
(FESAD)
FESAD
Content Description
13
Conclusions
Standards Compliance QC
Use the profiles defined today to ensure future compatibility
AudioVisual Migration QC
Efficient, human verified, large scale migration QC is commercially and technically feasible,
for video and for film
VC baseband analysis detects significantly more issues than VTR based detection
VC baseband detections and VTR detections are complementary
Content and Metadata QC
Essential for any automated archive content usage scenario
Contact
Peter Schallauer
peter.schallauer@joanneum.at
The Archive QC
www.vidicert.com
14

More Related Content

What's hot

The analoque archive beyond digitization. Anoud Goos, The Netherlands Institu...
The analoque archive beyond digitization. Anoud Goos, The Netherlands Institu...The analoque archive beyond digitization. Anoud Goos, The Netherlands Institu...
The analoque archive beyond digitization. Anoud Goos, The Netherlands Institu...
FIAT/IFTA
 
VVC tutorial at ICME 2020 together with Benjamin Bross
VVC tutorial at ICME 2020 together with Benjamin BrossVVC tutorial at ICME 2020 together with Benjamin Bross
VVC tutorial at ICME 2020 together with Benjamin Bross
Mathias Wien
 
Mass digitization issues ans actions Indiana University Case Study, MEMMON
Mass digitization issues ans actions Indiana University Case Study, MEMMONMass digitization issues ans actions Indiana University Case Study, MEMMON
Mass digitization issues ans actions Indiana University Case Study, MEMMON
FIAT/IFTA
 
Digital Archive. Bojan Kosi, Mediateka
Digital Archive. Bojan Kosi, MediatekaDigital Archive. Bojan Kosi, Mediateka
Digital Archive. Bojan Kosi, Mediateka
FIAT/IFTA
 
MPEG Immersive Media
MPEG Immersive MediaMPEG Immersive Media
MPEG Immersive Media
ITU
 
Digitisation (of audio, video and film): best practice and standards
Digitisation (of audio, video and film): best practice and standardsDigitisation (of audio, video and film): best practice and standards
Digitisation (of audio, video and film): best practice and standards
Richard Wright
 
strategic value of a first project to digitise analogue collections
strategic value of a first project to digitise analogue collectionsstrategic value of a first project to digitise analogue collections
strategic value of a first project to digitise analogue collections
FIAT/IFTA
 
Digital Preservation Best Practices: Lessons Learned From Across the Pond
Digital Preservation Best Practices: Lessons Learned From Across the PondDigital Preservation Best Practices: Lessons Learned From Across the Pond
Digital Preservation Best Practices: Lessons Learned From Across the Pond
Benoit Pauwels
 
High Quality 360 Video Rendering and Streaming
High Quality 360 Video Rendering and StreamingHigh Quality 360 Video Rendering and Streaming
High Quality 360 Video Rendering and Streaming
ITU
 
Bigger Hard Drive Jamie Lean
Bigger Hard Drive Jamie LeanBigger Hard Drive Jamie Lean
Bigger Hard Drive Jamie Lean
Future Perfect 2012
 
Beyond the Awe: Perspectives on Pragmatic Audiovisual Collections Care
Beyond the Awe: Perspectives on Pragmatic Audiovisual Collections CareBeyond the Awe: Perspectives on Pragmatic Audiovisual Collections Care
Beyond the Awe: Perspectives on Pragmatic Audiovisual Collections Care
Ryan N Edge
 
ITU-T Study Group 16 Meeting Achievements
ITU-T Study Group 16 Meeting AchievementsITU-T Study Group 16 Meeting Achievements
ITU-T Study Group 16 Meeting Achievements
ITU
 
GEHRKENS Broadcast archives and video tape cassation - a risk evaluation
GEHRKENS Broadcast archives and video tape cassation - a risk evaluationGEHRKENS Broadcast archives and video tape cassation - a risk evaluation
GEHRKENS Broadcast archives and video tape cassation - a risk evaluation
FIAT/IFTA
 
Video Migration and Preservation Practices at the Netherlands Institute for S...
Video Migration and Preservation Practices at the Netherlands Institute for S...Video Migration and Preservation Practices at the Netherlands Institute for S...
Video Migration and Preservation Practices at the Netherlands Institute for S...
Erwin Verbruggen
 
What’s new in MPEG?
What’s new in MPEG?What’s new in MPEG?
What’s new in MPEG?
Alpen-Adria-Universität
 
Compressed Video Quality
Compressed Video QualityCompressed Video Quality
Compressed Video Quality
Iain Richardson
 
20180306 VidMeet4 Bunji Yamamoto
20180306 VidMeet4 Bunji Yamamoto20180306 VidMeet4 Bunji Yamamoto
20180306 VidMeet4 Bunji Yamamoto
Bunji Yamamoto
 
digital preservation infrastructure: providing new of opportunities for prese...
digital preservation infrastructure: providing new of opportunities for prese...digital preservation infrastructure: providing new of opportunities for prese...
digital preservation infrastructure: providing new of opportunities for prese...
FIAT/IFTA
 
Immersive Telepresence
Immersive TelepresenceImmersive Telepresence
Immersive Telepresence
ITU
 

What's hot (20)

The analoque archive beyond digitization. Anoud Goos, The Netherlands Institu...
The analoque archive beyond digitization. Anoud Goos, The Netherlands Institu...The analoque archive beyond digitization. Anoud Goos, The Netherlands Institu...
The analoque archive beyond digitization. Anoud Goos, The Netherlands Institu...
 
VVC tutorial at ICME 2020 together with Benjamin Bross
VVC tutorial at ICME 2020 together with Benjamin BrossVVC tutorial at ICME 2020 together with Benjamin Bross
VVC tutorial at ICME 2020 together with Benjamin Bross
 
Mass digitization issues ans actions Indiana University Case Study, MEMMON
Mass digitization issues ans actions Indiana University Case Study, MEMMONMass digitization issues ans actions Indiana University Case Study, MEMMON
Mass digitization issues ans actions Indiana University Case Study, MEMMON
 
Michel Merten; Digitaliseren van video
Michel Merten; Digitaliseren van videoMichel Merten; Digitaliseren van video
Michel Merten; Digitaliseren van video
 
Digital Archive. Bojan Kosi, Mediateka
Digital Archive. Bojan Kosi, MediatekaDigital Archive. Bojan Kosi, Mediateka
Digital Archive. Bojan Kosi, Mediateka
 
MPEG Immersive Media
MPEG Immersive MediaMPEG Immersive Media
MPEG Immersive Media
 
Digitisation (of audio, video and film): best practice and standards
Digitisation (of audio, video and film): best practice and standardsDigitisation (of audio, video and film): best practice and standards
Digitisation (of audio, video and film): best practice and standards
 
strategic value of a first project to digitise analogue collections
strategic value of a first project to digitise analogue collectionsstrategic value of a first project to digitise analogue collections
strategic value of a first project to digitise analogue collections
 
Digital Preservation Best Practices: Lessons Learned From Across the Pond
Digital Preservation Best Practices: Lessons Learned From Across the PondDigital Preservation Best Practices: Lessons Learned From Across the Pond
Digital Preservation Best Practices: Lessons Learned From Across the Pond
 
High Quality 360 Video Rendering and Streaming
High Quality 360 Video Rendering and StreamingHigh Quality 360 Video Rendering and Streaming
High Quality 360 Video Rendering and Streaming
 
Bigger Hard Drive Jamie Lean
Bigger Hard Drive Jamie LeanBigger Hard Drive Jamie Lean
Bigger Hard Drive Jamie Lean
 
Beyond the Awe: Perspectives on Pragmatic Audiovisual Collections Care
Beyond the Awe: Perspectives on Pragmatic Audiovisual Collections CareBeyond the Awe: Perspectives on Pragmatic Audiovisual Collections Care
Beyond the Awe: Perspectives on Pragmatic Audiovisual Collections Care
 
ITU-T Study Group 16 Meeting Achievements
ITU-T Study Group 16 Meeting AchievementsITU-T Study Group 16 Meeting Achievements
ITU-T Study Group 16 Meeting Achievements
 
GEHRKENS Broadcast archives and video tape cassation - a risk evaluation
GEHRKENS Broadcast archives and video tape cassation - a risk evaluationGEHRKENS Broadcast archives and video tape cassation - a risk evaluation
GEHRKENS Broadcast archives and video tape cassation - a risk evaluation
 
Video Migration and Preservation Practices at the Netherlands Institute for S...
Video Migration and Preservation Practices at the Netherlands Institute for S...Video Migration and Preservation Practices at the Netherlands Institute for S...
Video Migration and Preservation Practices at the Netherlands Institute for S...
 
What’s new in MPEG?
What’s new in MPEG?What’s new in MPEG?
What’s new in MPEG?
 
Compressed Video Quality
Compressed Video QualityCompressed Video Quality
Compressed Video Quality
 
20180306 VidMeet4 Bunji Yamamoto
20180306 VidMeet4 Bunji Yamamoto20180306 VidMeet4 Bunji Yamamoto
20180306 VidMeet4 Bunji Yamamoto
 
digital preservation infrastructure: providing new of opportunities for prese...
digital preservation infrastructure: providing new of opportunities for prese...digital preservation infrastructure: providing new of opportunities for prese...
digital preservation infrastructure: providing new of opportunities for prese...
 
Immersive Telepresence
Immersive TelepresenceImmersive Telepresence
Immersive Telepresence
 

Similar to Are you Digitized Files Really OK? Levels of QC and Film Digitization (SCHALLAUER)

ComplexCTTP: Complexity Class Based Transcoding Time Prediction for Video Seq...
ComplexCTTP: Complexity Class Based Transcoding Time Prediction for Video Seq...ComplexCTTP: Complexity Class Based Transcoding Time Prediction for Video Seq...
ComplexCTTP: Complexity Class Based Transcoding Time Prediction for Video Seq...
Alpen-Adria-Universität
 
CROMWELL SCHALLAUER Indiana University Quality Control
CROMWELL SCHALLAUER Indiana University Quality ControlCROMWELL SCHALLAUER Indiana University Quality Control
CROMWELL SCHALLAUER Indiana University Quality Control
FIAT/IFTA
 
Introduction to Video Compression Techniques - Anurag Jain
Introduction to Video Compression Techniques - Anurag JainIntroduction to Video Compression Techniques - Anurag Jain
Introduction to Video Compression Techniques - Anurag JainVideoguy
 
Video Quality Measurements
Video Quality MeasurementsVideo Quality Measurements
Video Quality Measurements
Yoss Cohen
 
MPEG4 codec for Access Grid
MPEG4 codec for Access GridMPEG4 codec for Access Grid
MPEG4 codec for Access GridVideoguy
 
MPEG4 codec for Access Grid
MPEG4 codec for Access GridMPEG4 codec for Access Grid
MPEG4 codec for Access GridVideoguy
 
Thesis arpan pal_gisfi
Thesis arpan pal_gisfiThesis arpan pal_gisfi
Thesis arpan pal_gisfiArpan Pal
 
New coding techniques, standardisation, and quality metrics
New coding techniques, standardisation, and quality metricsNew coding techniques, standardisation, and quality metrics
New coding techniques, standardisation, and quality metrics
Touradj Ebrahimi
 
Video Coding for Large-Scale HTTP Adaptive Streaming Deployments: State of th...
Video Coding for Large-Scale HTTP Adaptive Streaming Deployments: State of th...Video Coding for Large-Scale HTTP Adaptive Streaming Deployments: State of th...
Video Coding for Large-Scale HTTP Adaptive Streaming Deployments: State of th...
Alpen-Adria-Universität
 
Motion Vector Recovery for Real-time H.264 Video Streams
Motion Vector Recovery for Real-time H.264 Video StreamsMotion Vector Recovery for Real-time H.264 Video Streams
Motion Vector Recovery for Real-time H.264 Video Streams
IDES Editor
 
Audio And Video Over Internet
Audio And Video Over InternetAudio And Video Over Internet
Audio And Video Over Internet
Sudarsun Santhiappan
 
10.1.1.184.6612
10.1.1.184.661210.1.1.184.6612
10.1.1.184.6612
NITC
 
Paper id 2120148
Paper id 2120148Paper id 2120148
Paper id 2120148IJRAT
 
Video Compression Technology
Video Compression TechnologyVideo Compression Technology
Video Compression TechnologyTong Teerayuth
 
Machine Learning Based Video Coding Enhancements for HTTP Adaptive Streaming
Machine Learning Based Video Coding Enhancements for HTTP Adaptive StreamingMachine Learning Based Video Coding Enhancements for HTTP Adaptive Streaming
Machine Learning Based Video Coding Enhancements for HTTP Adaptive Streaming
Alpen-Adria-Universität
 
Video File & Recording Media
Video File & Recording MediaVideo File & Recording Media
Video File & Recording Media
Atiwat Rungsirikulwit
 
Flexible Transport of 3D Videos over Networks
Flexible Transport of 3D Videos over NetworksFlexible Transport of 3D Videos over Networks
Flexible Transport of 3D Videos over NetworksAhmed Hamza
 
HTTP Adaptive Streaming – Quo Vadis? (2023)
HTTP Adaptive Streaming – Quo Vadis? (2023)HTTP Adaptive Streaming – Quo Vadis? (2023)
HTTP Adaptive Streaming – Quo Vadis? (2023)
Alpen-Adria-Universität
 
FaME-ML: Fast Multirate Encoding for HTTP Adaptive Streaming Using Machine Le...
FaME-ML: Fast Multirate Encoding for HTTP Adaptive Streaming Using Machine Le...FaME-ML: Fast Multirate Encoding for HTTP Adaptive Streaming Using Machine Le...
FaME-ML: Fast Multirate Encoding for HTTP Adaptive Streaming Using Machine Le...
Alpen-Adria-Universität
 

Similar to Are you Digitized Files Really OK? Levels of QC and Film Digitization (SCHALLAUER) (20)

ComplexCTTP: Complexity Class Based Transcoding Time Prediction for Video Seq...
ComplexCTTP: Complexity Class Based Transcoding Time Prediction for Video Seq...ComplexCTTP: Complexity Class Based Transcoding Time Prediction for Video Seq...
ComplexCTTP: Complexity Class Based Transcoding Time Prediction for Video Seq...
 
CROMWELL SCHALLAUER Indiana University Quality Control
CROMWELL SCHALLAUER Indiana University Quality ControlCROMWELL SCHALLAUER Indiana University Quality Control
CROMWELL SCHALLAUER Indiana University Quality Control
 
Introduction to Video Compression Techniques - Anurag Jain
Introduction to Video Compression Techniques - Anurag JainIntroduction to Video Compression Techniques - Anurag Jain
Introduction to Video Compression Techniques - Anurag Jain
 
Video Quality Measurements
Video Quality MeasurementsVideo Quality Measurements
Video Quality Measurements
 
MPEG4 codec for Access Grid
MPEG4 codec for Access GridMPEG4 codec for Access Grid
MPEG4 codec for Access Grid
 
MPEG4 codec for Access Grid
MPEG4 codec for Access GridMPEG4 codec for Access Grid
MPEG4 codec for Access Grid
 
Thesis arpan pal_gisfi
Thesis arpan pal_gisfiThesis arpan pal_gisfi
Thesis arpan pal_gisfi
 
New coding techniques, standardisation, and quality metrics
New coding techniques, standardisation, and quality metricsNew coding techniques, standardisation, and quality metrics
New coding techniques, standardisation, and quality metrics
 
Video Coding for Large-Scale HTTP Adaptive Streaming Deployments: State of th...
Video Coding for Large-Scale HTTP Adaptive Streaming Deployments: State of th...Video Coding for Large-Scale HTTP Adaptive Streaming Deployments: State of th...
Video Coding for Large-Scale HTTP Adaptive Streaming Deployments: State of th...
 
Motion Vector Recovery for Real-time H.264 Video Streams
Motion Vector Recovery for Real-time H.264 Video StreamsMotion Vector Recovery for Real-time H.264 Video Streams
Motion Vector Recovery for Real-time H.264 Video Streams
 
Audio And Video Over Internet
Audio And Video Over InternetAudio And Video Over Internet
Audio And Video Over Internet
 
10.1.1.184.6612
10.1.1.184.661210.1.1.184.6612
10.1.1.184.6612
 
Paper id 2120148
Paper id 2120148Paper id 2120148
Paper id 2120148
 
Video Compression Technology
Video Compression TechnologyVideo Compression Technology
Video Compression Technology
 
Machine Learning Based Video Coding Enhancements for HTTP Adaptive Streaming
Machine Learning Based Video Coding Enhancements for HTTP Adaptive StreamingMachine Learning Based Video Coding Enhancements for HTTP Adaptive Streaming
Machine Learning Based Video Coding Enhancements for HTTP Adaptive Streaming
 
Video File & Recording Media
Video File & Recording MediaVideo File & Recording Media
Video File & Recording Media
 
Flexible Transport of 3D Videos over Networks
Flexible Transport of 3D Videos over NetworksFlexible Transport of 3D Videos over Networks
Flexible Transport of 3D Videos over Networks
 
H264 final
H264 finalH264 final
H264 final
 
HTTP Adaptive Streaming – Quo Vadis? (2023)
HTTP Adaptive Streaming – Quo Vadis? (2023)HTTP Adaptive Streaming – Quo Vadis? (2023)
HTTP Adaptive Streaming – Quo Vadis? (2023)
 
FaME-ML: Fast Multirate Encoding for HTTP Adaptive Streaming Using Machine Le...
FaME-ML: Fast Multirate Encoding for HTTP Adaptive Streaming Using Machine Le...FaME-ML: Fast Multirate Encoding for HTTP Adaptive Streaming Using Machine Le...
FaME-ML: Fast Multirate Encoding for HTTP Adaptive Streaming Using Machine Le...
 

More from FIAT/IFTA

2021 FIAT/IFTA Timeline Survey
2021 FIAT/IFTA Timeline Survey2021 FIAT/IFTA Timeline Survey
2021 FIAT/IFTA Timeline Survey
FIAT/IFTA
 
20211021 FIAT/IFTA Most Wanted List
20211021 FIAT/IFTA Most Wanted List20211021 FIAT/IFTA Most Wanted List
20211021 FIAT/IFTA Most Wanted List
FIAT/IFTA
 
WARBURTON FIAT/IFTA Timeline Survey results 2020
WARBURTON FIAT/IFTA Timeline Survey results 2020WARBURTON FIAT/IFTA Timeline Survey results 2020
WARBURTON FIAT/IFTA Timeline Survey results 2020
FIAT/IFTA
 
OOMEN MEZARIS ReTV
OOMEN MEZARIS ReTVOOMEN MEZARIS ReTV
OOMEN MEZARIS ReTV
FIAT/IFTA
 
BUCHMAN Digitisation of quarter inch audio tapes at DR (FRAME Expert)
BUCHMAN Digitisation of quarter inch audio tapes at DR (FRAME Expert)BUCHMAN Digitisation of quarter inch audio tapes at DR (FRAME Expert)
BUCHMAN Digitisation of quarter inch audio tapes at DR (FRAME Expert)
FIAT/IFTA
 
HULSENBECK Value Use and Copyright Comission initiatives
HULSENBECK Value Use and Copyright Comission initiativesHULSENBECK Value Use and Copyright Comission initiatives
HULSENBECK Value Use and Copyright Comission initiatives
FIAT/IFTA
 
WILSON Film digitisation at BBC Scotland
WILSON Film digitisation at BBC ScotlandWILSON Film digitisation at BBC Scotland
WILSON Film digitisation at BBC Scotland
FIAT/IFTA
 
GOLODNOFF We need to make our past accessible!
GOLODNOFF We need to make our past accessible!GOLODNOFF We need to make our past accessible!
GOLODNOFF We need to make our past accessible!
FIAT/IFTA
 
LORENZ Building an integrated digital media archive and legal deposit
LORENZ Building an integrated digital media archive and legal depositLORENZ Building an integrated digital media archive and legal deposit
LORENZ Building an integrated digital media archive and legal deposit
FIAT/IFTA
 
BIRATUNGANYE Shock of formats
BIRATUNGANYE Shock of formatsBIRATUNGANYE Shock of formats
BIRATUNGANYE Shock of formats
FIAT/IFTA
 
CANTU VT is TV The History of Argentinian Video Art and Television Archives P...
CANTU VT is TV The History of Argentinian Video Art and Television Archives P...CANTU VT is TV The History of Argentinian Video Art and Television Archives P...
CANTU VT is TV The History of Argentinian Video Art and Television Archives P...
FIAT/IFTA
 
BERGER RIPPON BBC Music memories
BERGER RIPPON BBC Music memoriesBERGER RIPPON BBC Music memories
BERGER RIPPON BBC Music memories
FIAT/IFTA
 
AOIBHINN and CHOISTIN Rehash your archive
AOIBHINN and CHOISTIN Rehash your archiveAOIBHINN and CHOISTIN Rehash your archive
AOIBHINN and CHOISTIN Rehash your archive
FIAT/IFTA
 
HULSENBECK BLOM A blast from the past open up
HULSENBECK BLOM A blast from the past open upHULSENBECK BLOM A blast from the past open up
HULSENBECK BLOM A blast from the past open up
FIAT/IFTA
 
PERVIZ Automated evolvable media console systems in digital archives
PERVIZ Automated evolvable media console systems in digital archivesPERVIZ Automated evolvable media console systems in digital archives
PERVIZ Automated evolvable media console systems in digital archives
FIAT/IFTA
 
AICHROTH Systemaic evaluation and decentralisation for a (bit more) trusted AI
AICHROTH Systemaic evaluation and decentralisation for a (bit more) trusted AIAICHROTH Systemaic evaluation and decentralisation for a (bit more) trusted AI
AICHROTH Systemaic evaluation and decentralisation for a (bit more) trusted AI
FIAT/IFTA
 
VINSON Accuracy and cost assessment for archival video transcription methods
VINSON Accuracy and cost assessment for archival video transcription methodsVINSON Accuracy and cost assessment for archival video transcription methods
VINSON Accuracy and cost assessment for archival video transcription methods
FIAT/IFTA
 
LYCKE Artificial intelligence, hype or hope?
LYCKE Artificial intelligence, hype or hope?LYCKE Artificial intelligence, hype or hope?
LYCKE Artificial intelligence, hype or hope?
FIAT/IFTA
 
AZIZ BABBUCCI Let's play with the archive
AZIZ BABBUCCI Let's play with the archiveAZIZ BABBUCCI Let's play with the archive
AZIZ BABBUCCI Let's play with the archive
FIAT/IFTA
 
HILL Gold, silver or bronze
HILL Gold, silver or bronzeHILL Gold, silver or bronze
HILL Gold, silver or bronze
FIAT/IFTA
 

More from FIAT/IFTA (20)

2021 FIAT/IFTA Timeline Survey
2021 FIAT/IFTA Timeline Survey2021 FIAT/IFTA Timeline Survey
2021 FIAT/IFTA Timeline Survey
 
20211021 FIAT/IFTA Most Wanted List
20211021 FIAT/IFTA Most Wanted List20211021 FIAT/IFTA Most Wanted List
20211021 FIAT/IFTA Most Wanted List
 
WARBURTON FIAT/IFTA Timeline Survey results 2020
WARBURTON FIAT/IFTA Timeline Survey results 2020WARBURTON FIAT/IFTA Timeline Survey results 2020
WARBURTON FIAT/IFTA Timeline Survey results 2020
 
OOMEN MEZARIS ReTV
OOMEN MEZARIS ReTVOOMEN MEZARIS ReTV
OOMEN MEZARIS ReTV
 
BUCHMAN Digitisation of quarter inch audio tapes at DR (FRAME Expert)
BUCHMAN Digitisation of quarter inch audio tapes at DR (FRAME Expert)BUCHMAN Digitisation of quarter inch audio tapes at DR (FRAME Expert)
BUCHMAN Digitisation of quarter inch audio tapes at DR (FRAME Expert)
 
HULSENBECK Value Use and Copyright Comission initiatives
HULSENBECK Value Use and Copyright Comission initiativesHULSENBECK Value Use and Copyright Comission initiatives
HULSENBECK Value Use and Copyright Comission initiatives
 
WILSON Film digitisation at BBC Scotland
WILSON Film digitisation at BBC ScotlandWILSON Film digitisation at BBC Scotland
WILSON Film digitisation at BBC Scotland
 
GOLODNOFF We need to make our past accessible!
GOLODNOFF We need to make our past accessible!GOLODNOFF We need to make our past accessible!
GOLODNOFF We need to make our past accessible!
 
LORENZ Building an integrated digital media archive and legal deposit
LORENZ Building an integrated digital media archive and legal depositLORENZ Building an integrated digital media archive and legal deposit
LORENZ Building an integrated digital media archive and legal deposit
 
BIRATUNGANYE Shock of formats
BIRATUNGANYE Shock of formatsBIRATUNGANYE Shock of formats
BIRATUNGANYE Shock of formats
 
CANTU VT is TV The History of Argentinian Video Art and Television Archives P...
CANTU VT is TV The History of Argentinian Video Art and Television Archives P...CANTU VT is TV The History of Argentinian Video Art and Television Archives P...
CANTU VT is TV The History of Argentinian Video Art and Television Archives P...
 
BERGER RIPPON BBC Music memories
BERGER RIPPON BBC Music memoriesBERGER RIPPON BBC Music memories
BERGER RIPPON BBC Music memories
 
AOIBHINN and CHOISTIN Rehash your archive
AOIBHINN and CHOISTIN Rehash your archiveAOIBHINN and CHOISTIN Rehash your archive
AOIBHINN and CHOISTIN Rehash your archive
 
HULSENBECK BLOM A blast from the past open up
HULSENBECK BLOM A blast from the past open upHULSENBECK BLOM A blast from the past open up
HULSENBECK BLOM A blast from the past open up
 
PERVIZ Automated evolvable media console systems in digital archives
PERVIZ Automated evolvable media console systems in digital archivesPERVIZ Automated evolvable media console systems in digital archives
PERVIZ Automated evolvable media console systems in digital archives
 
AICHROTH Systemaic evaluation and decentralisation for a (bit more) trusted AI
AICHROTH Systemaic evaluation and decentralisation for a (bit more) trusted AIAICHROTH Systemaic evaluation and decentralisation for a (bit more) trusted AI
AICHROTH Systemaic evaluation and decentralisation for a (bit more) trusted AI
 
VINSON Accuracy and cost assessment for archival video transcription methods
VINSON Accuracy and cost assessment for archival video transcription methodsVINSON Accuracy and cost assessment for archival video transcription methods
VINSON Accuracy and cost assessment for archival video transcription methods
 
LYCKE Artificial intelligence, hype or hope?
LYCKE Artificial intelligence, hype or hope?LYCKE Artificial intelligence, hype or hope?
LYCKE Artificial intelligence, hype or hope?
 
AZIZ BABBUCCI Let's play with the archive
AZIZ BABBUCCI Let's play with the archiveAZIZ BABBUCCI Let's play with the archive
AZIZ BABBUCCI Let's play with the archive
 
HILL Gold, silver or bronze
HILL Gold, silver or bronzeHILL Gold, silver or bronze
HILL Gold, silver or bronze
 

Recently uploaded

原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
u86oixdj
 
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
74nqk8xf
 
Global Situational Awareness of A.I. and where its headed
Global Situational Awareness of A.I. and where its headedGlobal Situational Awareness of A.I. and where its headed
Global Situational Awareness of A.I. and where its headed
vikram sood
 
Analysis insight about a Flyball dog competition team's performance
Analysis insight about a Flyball dog competition team's performanceAnalysis insight about a Flyball dog competition team's performance
Analysis insight about a Flyball dog competition team's performance
roli9797
 
Everything you wanted to know about LIHTC
Everything you wanted to know about LIHTCEverything you wanted to know about LIHTC
Everything you wanted to know about LIHTC
Roger Valdez
 
State of Artificial intelligence Report 2023
State of Artificial intelligence Report 2023State of Artificial intelligence Report 2023
State of Artificial intelligence Report 2023
kuntobimo2016
 
一比一原版(UofS毕业证书)萨省大学毕业证如何办理
一比一原版(UofS毕业证书)萨省大学毕业证如何办理一比一原版(UofS毕业证书)萨省大学毕业证如何办理
一比一原版(UofS毕业证书)萨省大学毕业证如何办理
v3tuleee
 
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
slg6lamcq
 
The affect of service quality and online reviews on customer loyalty in the E...
The affect of service quality and online reviews on customer loyalty in the E...The affect of service quality and online reviews on customer loyalty in the E...
The affect of service quality and online reviews on customer loyalty in the E...
jerlynmaetalle
 
The Building Blocks of QuestDB, a Time Series Database
The Building Blocks of QuestDB, a Time Series DatabaseThe Building Blocks of QuestDB, a Time Series Database
The Building Blocks of QuestDB, a Time Series Database
javier ramirez
 
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
axoqas
 
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
apvysm8
 
Machine learning and optimization techniques for electrical drives.pptx
Machine learning and optimization techniques for electrical drives.pptxMachine learning and optimization techniques for electrical drives.pptx
Machine learning and optimization techniques for electrical drives.pptx
balafet
 
一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理
一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理
一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理
oz8q3jxlp
 
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
ahzuo
 
一比一原版(Dalhousie毕业证书)达尔豪斯大学毕业证如何办理
一比一原版(Dalhousie毕业证书)达尔豪斯大学毕业证如何办理一比一原版(Dalhousie毕业证书)达尔豪斯大学毕业证如何办理
一比一原版(Dalhousie毕业证书)达尔豪斯大学毕业证如何办理
mzpolocfi
 
Learn SQL from basic queries to Advance queries
Learn SQL from basic queries to Advance queriesLearn SQL from basic queries to Advance queries
Learn SQL from basic queries to Advance queries
manishkhaire30
 
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
Timothy Spann
 
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
u86oixdj
 
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdf
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfUnleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdf
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdf
Enterprise Wired
 

Recently uploaded (20)

原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
 
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
 
Global Situational Awareness of A.I. and where its headed
Global Situational Awareness of A.I. and where its headedGlobal Situational Awareness of A.I. and where its headed
Global Situational Awareness of A.I. and where its headed
 
Analysis insight about a Flyball dog competition team's performance
Analysis insight about a Flyball dog competition team's performanceAnalysis insight about a Flyball dog competition team's performance
Analysis insight about a Flyball dog competition team's performance
 
Everything you wanted to know about LIHTC
Everything you wanted to know about LIHTCEverything you wanted to know about LIHTC
Everything you wanted to know about LIHTC
 
State of Artificial intelligence Report 2023
State of Artificial intelligence Report 2023State of Artificial intelligence Report 2023
State of Artificial intelligence Report 2023
 
一比一原版(UofS毕业证书)萨省大学毕业证如何办理
一比一原版(UofS毕业证书)萨省大学毕业证如何办理一比一原版(UofS毕业证书)萨省大学毕业证如何办理
一比一原版(UofS毕业证书)萨省大学毕业证如何办理
 
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
 
The affect of service quality and online reviews on customer loyalty in the E...
The affect of service quality and online reviews on customer loyalty in the E...The affect of service quality and online reviews on customer loyalty in the E...
The affect of service quality and online reviews on customer loyalty in the E...
 
The Building Blocks of QuestDB, a Time Series Database
The Building Blocks of QuestDB, a Time Series DatabaseThe Building Blocks of QuestDB, a Time Series Database
The Building Blocks of QuestDB, a Time Series Database
 
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
 
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
 
Machine learning and optimization techniques for electrical drives.pptx
Machine learning and optimization techniques for electrical drives.pptxMachine learning and optimization techniques for electrical drives.pptx
Machine learning and optimization techniques for electrical drives.pptx
 
一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理
一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理
一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理
 
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
 
一比一原版(Dalhousie毕业证书)达尔豪斯大学毕业证如何办理
一比一原版(Dalhousie毕业证书)达尔豪斯大学毕业证如何办理一比一原版(Dalhousie毕业证书)达尔豪斯大学毕业证如何办理
一比一原版(Dalhousie毕业证书)达尔豪斯大学毕业证如何办理
 
Learn SQL from basic queries to Advance queries
Learn SQL from basic queries to Advance queriesLearn SQL from basic queries to Advance queries
Learn SQL from basic queries to Advance queries
 
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
 
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
 
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdf
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfUnleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdf
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdf
 

Are you Digitized Files Really OK? Levels of QC and Film Digitization (SCHALLAUER)

  • 1. www.joanneum.at/digital DIGITAL - Institute for Information and Communication Technologies Are Your Digitised Files Really OK? Levels of QC for Video and Film Digitisation Peter Schallauer FIAT/IFTA Conference, Oct. 20th 2017
  • 2. 2 Overview AV-File Layers and related QC Types Types of Digitization QC: Goals, Features, Experiences Standards Compliance QC AudioVisual Media Migration QC ORF video migration use case Indiana University film digitization use case Content and Metadata QC Conclusions per QC Type
  • 3. 3 AV-File Layers and QC Types Wrapper (MXF, MOV, MKV…) Encoded Bitstreams (MPEG-4 AVC, JPG2000, PCM, FFV1....) Essence (Decoded Raw Pictures & Audio) Standards Compliance QC AVMigration QC ContentQC Metad. QC
  • 4. 4 Standards Compliance QC To ensure that the file is compliant with a specific file wrapper, encoding standard and application profile for today and future compatibility Wrapper Metadata and Structure Descriptive MD, technical MD (visual & audio enc.), MXF index table, …. Bitstream Metadata and Structure (for each visual and audio stream) E.g. resolution, bitrate, field order, GOP structure…. Application Profiles how a standard is used for a specific application DPP, UK, Nordic C., US AS11: Requirements for the production and delivery of programs (SD, HD, UHD) to broadcasters ARD-ZDF, DE HDF01, HDF02 and HDF03: MXF profiles for the exchange of programs between broadcasters AS-07, US MXF profile for Archive & Preservation of AV content Including timecodes, captions, subtitles, core descriptive metadata set, segmentation metadata, embedded content integrity data….
  • 5. 5 AudioVisual Media Migration QC Video To ensure that migration from the source media to the target media/file do not introduce unwanted audiovisual defects to the target media/file To detect earlier generation migration issues in order to re-migrate if earlier generation is still available To detect and document AV issues for future restoration Essence defect detection and verification functions relevant for digital and analogue video tape migration Block Dropout for all DCT based encoding formats DigiBeta Dropout Macroblocking Analogue Sync Errors for severe line & field synchronization errors, e.g. on Beta SP, 1”… Vertical Interlaced Time Code (VITC): Present/Non-Present, Static, Discontinuity) Black & Single Coloured Frames, Test Pattern to detect specific image content which should not be in programme Field Order, Freeze Frame Black Bar / Aspect Ratio Gamut/Clipping Error Audio Silence, Peaks/Clipping, Phase, Hum Integration of VTR info Video and Audio Channel Condition (ISR) TC Discontinuities RF Level of video head :
  • 6. 6 AudioVisual Media Migration QC Use Case ORF | Video ORF Digital Migration project 600.000 tapes, 300.000 hrs in total DigiBETA and IMX 10 years (2016-2026) Target format: D10 (MPEG-2 and PCM in MXF) Workflow Quality Control Throughput: ~130 hrs per day (migration and content QC) ~12 min. of QC operator time per content h (migration and content QC) VidiCert Summary Interactive Verification/Decision Raw Quality Report Verified Quality Report VidiCert Analyser Automatic Baseband Analysis VTR Defect Info Migration/Transfer Action (e.g. Clean, Re-Ingest) Documentation Digital Restoration Archive Asset Mgt. System Defect Info VTR: mostly Sony M-2000P, some A-2000P & M-2100P Migration/Transfer: NOA Frame Lector v1.7, QC: JOANNEUM RESEARCH VidiCert v3.5
  • 7. 7 AudioVisual Media Migration QC QC Statistics | Use Case ORF | Video Evaluation period: June 16 – Sept. 17 52.822 files, 42.002 hrs, avg. file duration: ~48 min. Human Verified Defect Detections by Source, and its Temporal Correlation Detection Source VTR Defect Info Channel Condition TC Discontinuity VidiCert Analyser Verified Defects 21.810 35.798 Sum: 57.608 Analog Syncr. Error 38.967 1.197 4.651 DigiBETA Dropout 7.259 372 725 Block Dropout 12.092 1.890 4.651 Macroblocking 4.684 414 1.195 Black Frames 12.434 49 257 Grey Frames 1.787 83 74 Test Pattern 1.667 1 0 Silence 253.519 5.310 11.378 Sum: 332.454 ~400.000 defects in total, ~10 defects per h VidiCert baseband analysis detects significantly more than VTR Temporal overlap between VC and VTR is low (=detections are complementary) VTR: TC-Disc. is more relevant than C.C.
  • 8. 8 AudioVisual Media Migration QC QC Statistics | Use Case ORF | Video Evaluation period: June 16 – Sept. 17 52.822 files, 42.002 hrs, avg. file duration: ~48 min. 55,74 10,06 34,19 Detection Source for Visual Defects [%] VidiCert Analyser Visual Detectors Both VTR Ch. Cond. & TC-Discont. 80,82 5,59 13,58 Detection Source for Audio Defects [%] VidiCert Analyser Audio Detector Both VTR Ch. Cond. & TC-Discont. 84,55 6,62 8,83 Detection Source for Audio+Visual Defects [%] VidiCert Analyser Visual&Audio Both VTR Ch. Cond. & TC-Discont.
  • 9. 9 AudioVisual Media Migration QC Film To ensure that migration from film to file do not introduce unwanted audiovisual defects To detect and document AV issues for analogue and digital restoration Defect detection and verification functions relevant for film migration Out of Focus/Blurriness Dust/Dirt/Hair Film Grain Noise Freeze Frame Framing Error Under&Over Exposure Contrast/Luminance Range Cadence Black & Single Coloured Frames Black Bar / Aspect Ratio Macroblocking Audio Silence, Level, Peaks/Clipping, Phase, Hum Integration of scanner sensor data Perforation/Shrinkage Light Splices :
  • 10. 10 AudioVisual Media Migration QC Use Case Indiana University | Film IU MPDI Film Digitisation Project 25.000 movies, 12.500 hrs in total Three years (2017-2020) Target resolution: 2k for 8 and 16 mm, 4k for 35mm Target formats: DPX 10 bit log, ProRES HQ4444 Workflow Quality Control Throughput: ~32 hrs/day Overscan and crop versions are QC’d Film Scanning by Service Povider (Memnon) VidiCert Film Digitisation QC by Indiana University VidiCert Summary (Interactive Verification) Raw Quality Report Verified Quality Report Scan Data Action (e.g. Re-Scan) Documentation VidiCert Analyser (Automatic Analysis) Restoration Archival Package DIAMANT-Film Restoration Scanner: Lasergraphics QC: JOANNEUM RESEARCH VidiCert v4.1
  • 11. 11 Content and Metadata QC To ensure that content in created files is complete content and respective metadata stored in content/asset management system are consistent Why Essential for any automated archive content usage scenario Essential if destruction of media (tapes, film) desired after migration
  • 12. 12 Content & Metadata QC Use Case ORF VC supported content QC functions is file content correct and complete Title, trailer audio channel allocation/encoding/content consistent start/end timecodes exact and consistent scanning type (interlaced, progressive, pull-down) and field order consistent QC may results in Re-Ingest (of same or alternative copy) MAM metadata updates/corrections VidiCert Summary File Content Check Raw Quality Report VidiCert Analyser Automatic Baseband Analysis Verified Quality Report Archive MAM System (FESAD) FESAD Content Description
  • 13. 13 Conclusions Standards Compliance QC Use the profiles defined today to ensure future compatibility AudioVisual Migration QC Efficient, human verified, large scale migration QC is commercially and technically feasible, for video and for film VC baseband analysis detects significantly more issues than VTR based detection VC baseband detections and VTR detections are complementary Content and Metadata QC Essential for any automated archive content usage scenario