the iptc video metadata hub · the roadmap • june 2014: photo metadata conference (berlin,...
TRANSCRIPT
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The IPTC Video Metadata HubMetadata like for photos
Photo Metadata Conference16 June 2017, Berlin (Germany)
Michael Steidl (Managing Director, IPTC)
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Comparing Photo and Video
A photo = still image A video = moving imagesKey data about it are very similar – e.g.:
where and when it happenedwho and what location is shown
who created it and who owns the copyright
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The Roadmap
• June 2014: Photo Metadata Conference (Berlin, Germany)Speakers and attendees asked IPTC to create a set of video metadata similar to the photo metadata
• October 2014: IPTC established a Video Metadata Working Group to create a metadata schema
• October 2016: IPTC released theIPTC Video Metadata Hub Recommendation 1.0available at https://iptc.org/standards/video-metadata-hub/
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Landing at the Video Metadata Hub
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Let’s compare*): General Content
Photo VideoKeyword KeywordCV-Term About the Image CV-Term about the contentGenre GenreHeadline HeadlineDescription/Caption DescriptionRating (brand new) Rating
Dopesheet
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*) The comparing follows the IPTC Photo Metadata User Guide athttps://www.iptc.org/std/photometadata/documentation/userguide
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Let’s compare: about Persons
Photo VideoPerson(s) shown in the image Person(s) shown
Person(s) heardTranscript (Link)
Additional model informationMinor Model Age DisclosureModel Release Status Model Release StatusModel Release Identifier(s) Model Release Identifier(s)
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Let’s compare: about Locations
Photo VideoLocation the image was created Location the video was shotLocation(s) shown in the image Location(s) shown in the video
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Let’s compare: about other Things
Photo VideoFeatured Organisation (Company) Featured OrganisationRelated Event Shown EventProduct shown in the image Product shown in the video
Object shownArtwork or Object in the imageProperty Release Status Property Release StatusProperty Release Identifier(s) Property Release Identifier(s)
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Let’s compare: Rights Information
Photo VideoCreator of the image Creator(s) of the video
Contributor(s) to the videoCopyright Owner Rights OwnerCopyright Notice Copyright Notice & Copyright YearCredit Line Credit LineEmbedded Encoded Rights Expression
Rights and Licensing Terms:Embedded …
Linked Encoded Rights Expression Rights and Licensing Terms:Linked …
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Let’s compare: Licensing
Photo VideoRights Usage Terms Rights and Licensing TermsImage Supplier / Supply Chain Source
Supplier / Supply Chain Source
Licensor Licensor
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Let’s compare: Administrative DataPhoto VideoDate the image was created Date created & date modified & date
releasedTitle TitleJob IdentifierInstructionsDigital Image GUID Video Identifier & V Version & V
RenditionRegistry Entry Registry EntryDigital Source Type
Language VersionSeries / Season / EpisodeStoryline Identifier
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Let’s compare: Technical Data
Photo VideoMax Width and Height Frame Size
Editorial durationThis kind of metadata is covered by Exif
Video: encoding, bitrate, frame rate, profile, streams count …Audio: encoding, bitrate, sample rate, channels …File: format, bitrateAspect ratios, orientation
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Video specific: parts = clips
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Video Metadata Hub Key Features
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Area of IPTC‘s control
(some) IPTC VideoMetadata Hub
properties:
.movQuicktimemetadata
.mts
(sidecar)
EBUcoremetadata
.mp4XMP
metadata
.???MPEG7
metadata
Name ValueVideo ID 10.5240/EA73-79D7-1B2B-B378-3A73-MTitle Blade RunnerDescription Deckard (Harrison Ford) is forced by the police Boss (M.
Emmet Walsh) to continue his old job as Replicant Hunter.
Property Value---com.apple.quicktime.title See above
com.apple.quicktime.description See above
Property Valuedc:identifier See above
dc:title See above
dc:description See above
Property (ebucore: …) Valueidentifier + @typeLink See above
title + @typeLink See above
description + @typeLink See above
Property ValueObject Identifiers/GUID See above
Titles/Main title See above
Textual Description/Description See above
Genuine md processor Genuine md processor Genuine md processor Genuine md processor
XMP specified forembedded metadata
EBUcore specified fornon-embedded metadata
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The Semantic Hub
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(some) IPTC VideoMetadata Hub
properties:
.movQuicktimemetadata
.mts
(sidecar)
EBUcoremetadata
.mp4XMP
metadata
.???MPEG7
metadata
Name ValueDirector Ridley ScottTitle Blade RunnerDescription Deckard (Harrison Ford) is forced by the police Boss (M.
Emmet Walsh) to continue his old job as Replicant Hunter.
Property Valuecom.apple.quicktime.director Ridley Sch
com.apple.quicktime.title Blade Run
com.apple.quicktime.description Deckhard
Property Valuedc:creator + role=„director“ See above
dc:title See above
dc:description See above
Property (ebucore: …) Valuecreator + @typeLink See above
title + @typeLink See above
description + @typeLink See above
Property ValueProd Key People/Director See above
Titles/Main title See above
Textual Description/Description See above
Genuine md processor Genuine md processor Genuine md processor Genuine md processor
Transferred
Transferred
Transferred
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Use Case 1: Footage
Transform differently named/identified metadata fieldsinto a single set of metadata fields the Video Metadata Hub
People at your company have to know only a single set.
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generic &maker-specificmetadata
generic &maker-specificmetadata
generic &maker-specificmetadata
generic &maker-specificmetadata
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Use Case 2: Export
Your dear customershave differentneeds …
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OurVideo Metadata (Hub)
Quicktime
MP4 with XMP
gmast3r / 123RF Stock Photo
MTSwithPB
Core
MPEG HD422
withEBUcore A little bit
of everythingShaken,
not stirred
Field mapping
solves that!!
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Use Case 3: DAM Metadata DesignYour DAM/MAM is flexibleyou can pick metadata fields
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The VMHub provides• A recommended field
label• Definitions of how to
use a field• Additional hints• Description of the
technical type of the data
You’llget whatyou want
Some VMHub fields
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How to integrate VHMub into a DAM /1
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How to integrate VHMub into a DAM /2How to add specific needed VMHub properties:
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How to integrate VHMub into a DAM /3
This list could be the result.
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Wrap up
The Video Metadata Hub provides a single set of metadata for videos in different
formats maps the VMHub data to the file and formats your
customers need helps to tailor your DAM/MAM to your needs
The Video Metadata Hub helps
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The Video Metadata Hub helps
Check the Video Metadata Huband let us know: [email protected]
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