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DAM NY - 12 th May 2017 - Stuart Myles Rights for Photo and Video Archives A Case Study by The Associated Press www.ap.org @smyles

Rights for Photo and Video Archives at the Associated Press

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DAM NY - 12th May 2017 - Stuart Myles

Rights for Photo and Video ArchivesA Case Study by The Associated Press

www.ap.org @smyles

www.ap.org @smyles

AP’s Archives

1.7 million video stories - 34 million images -200 million text stories Dating back to the 1800’s

http://www.aparchive.com/

www.ap.org @smyles

The dream of rights management

…And the reality for AP’s archives

What are Rights?

www.ap.org @smyles

Permissions and Restrictions on Content

Use e.g. “distribute”

Constraints e.g. “location != France”

Duties e.g. “credit Kyoto”

Generally contracts linked to sources

With per-item exceptions

“NO USE CHINA”

What Do Rights Holders

Want?

www.ap.org @smyles

Restrict content use byGeography

Time

Distribution channel

Enforce dutiesPayment

Credit

Complex licensesCombined constraints

What Do Editors Want?

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Can I use this content?

Any there any duties?

Ideally, not to worry about rights…

Traditional Publishing Model

A feed per publication

Tuned

content

set

Licensed

for one

outlet

Editors

review

notes

Often by

media

type

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One Customer

With many publications

Content

still

licensed per

outlet

Newspapers,

magazines,

broadcast

channels

Websites

and apps for

desktop,

smartphone

, tablet

Content

duplication

Enshrines

legacy deals

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Most Customers Take

Content from Multiple

ProvidersLots of

complexity

and waste for

publishers

and

providers.

Harder for

publishers to

respond to

new

opportunities

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The Dream: Automated

Publishing Which Respects

Rights

Content

still

licensed per

outlet

Automatically

route content

Less editorial

intervention

to check

restrictionsNo content

duplication

Apply

restrictions

per content

item

New uses for

content

without a

duplicate feed

www.ap.org @smyles

www.ap.org @smyles

AP’s Photo API Added RightsML

Customized rights with other image metadata in photo API

W3C CG ODRL * IPTC RightsML

Available in XML or JSON

An Example in JSON

This client can download this particular image for $20

It is only for editorial use

It has a human-readable policy which must be reviewed

www.ap.org @smyles

Photo Rights Success FactorsBusiness case - customer asking for rights

API Technology – relatively easy to add metadata

Formats already designed - ODRL and RightsML

Photos Already Contain Some Rights Metadata

www.ap.org @smyles

Video Rights – Early Days

Rights embedded in scripts

Hampers direct-to-consumer publishing

Step one – standardize vocabulary

www.ap.org @smyles

Barriers RemainLegacy workflows and systems

Handshake agreements

Adding rights is work - additional revenue?

Standards not widely adopted

Adopting Machine Readable Rights

Challenges are not really technical

Don’t be overwhelmed by the details

Work with others – e.g. W3C, IPTC – for leverage

www.ap.org @smylesThanks!