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MAM and Metadata

David Klee

FIAT/IFTA MMC Seminar 2015

+MAM and Metadata

Introduction & Background

Approaches

Time-Based Metadata

Production Value Chain

Planning for the Future

+About Me

• MS, Information Management

• BA, Broadcasting

• BS, Political Science

ASU

• Grip

• Stats

• Camera

Freelance

• Editor

• Media Manager

• Assistant Director

AZ Cardinals

• Editor/Producer

• Technology Coordinator

• DAM / MAM

SRP

• MAM Systems Engineer

• Manager, Media Software Integration

NBC

• Director, Media Management Technologies

Univision

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Approaches

+Value Chain

Raw Material ValueProcess

+Value Chain

Raw Material ValueProcess

Raw

Content

Distributable

Asset

Live ShowArchival

Asset

+Is more always better?

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Category4

Quantity

Outcome

Less More

Better

Worse

+Is more always better?

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Category4

Ice Cream

Enjoyment

Less More

Better

Worse

+Is more always better?

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Category4

Ice Cream

Enjoyment

Less More

Better

Worse

+Is more always better?

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4.5

Category4

Ice Cream

Enjoyment

Less More

Better

Worse

+The Inverted U

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Category4

Quantity

Outcome

Less More

Better

Worse

+The Inverted U: In Theories

Yerkes-Dodson Law (1908)

Workplace Performance Sports Psychology

Malcolm Gladwell, David and Goliath (2013)

+The Inverted U: Metadata

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Category4

Unstructured Text

Search

Experience

Less More

Better

Worse

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Time-Based Metadata

+Approaches to Time

Time-Text

• Timecode marker (often no duration) and text blob

• EBU-TT, SCC, MCC, Multiple Edit Systems

Sub-Items / Clips

• Grouped by time

• Duration

• Complex schemas

Strata / Tracks

• Grouped by subject and time

• Duration or mark

• Simple schemas

+Time-Text

+Sub-items / Clips

Sub-item 2

Clip Title Phoenix Sunset

Objects Car, plane,

building

Location Tempe, AZ

People

Comments This is a great

shot for our

project!

Sub-item 1

Clip Title Debate

Objects Crowd, tent,

television

Location ASU

People Jesse Jackson,

Karl Rove

Comments Laughing

Sub-item 3

Clip Title Fiesta Bowl 2005

Objects football, football

team

Location Sun Devil Stadium

People

Comments

outin outin outin

+Strata / Annotation Tracks

Strata

Clip Title

Objects

Location

People

Comments

DebatePhoenix

Sunset

Fiesta Bowl

2005

ASU Tempe, AZ Sun Devil Stadium

Jesse

Jackson

Karl

Rove

Laughing Sad

plane team

best

car

Phoenix, AZ

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Metadata in the Value Chain

+Video Production Value Chains

Raw

Content

Distributable

Asset

Live ShowArchival

Asset

+Agile User Stories

As a [user role],

I want to [perform an action]

so that I [can achieve a goal].

+Review

As a video reviewer, I want to mark time-based comments so that

I can provide information to downstream users and editors.

• Producer notes / Edit instructions

• Standards reviews

• Detailed content logging

Information Types

• Edit systems (internal)

• Logging tools (internal or external)

Data Sources

• Identify metadata with long-term value

• Direct data-entry into management tools

• Different strata for different purposes with defined data models

Approaches

+Edit

As a video editor, I want to mark time-based comments so that I

can easily locate the footage I need during a project.

• Editor comments

Information Types

• Edit systems (internal)

Data Sources

• Identify metadata and process for long-term value

Approaches

+Edit

As a media manager, I want to preserve edit information so that I

can delete source media and restore content if necessary.

• Edit Decision List (EDL)

Information Types

• Editor Software (EDL)

Data Sources

• Store EDL

• Capture EDL information into time-based information

Approaches

+Package

As a video editor, I want to apply technical metadata so that I can

package my finished content for distribution.

• Segment starts and stops

• Unique identifiers

• Captioning data

Information Types

• Edit systems (internal)

• Captioning providers (internal/external)

Data Sources

• Capture captions where possible, strata or other time-text formats

• Challenging metadata hand-offs for technical purposes

Approaches

+Package

As a distribution manager, I want to apply descriptive metadata

so that I can maximize digital discoverability of my content.

• Descriptive information

• Search Engine Optimization (SEO)

• Time-based clip information

Information Types

• Digital syndication platforms

Data Sources

• Capture information in other systems

• Time-based clips as subclips

Approaches

+Others

As a producer, I want to save show rundown and planning

information so that I can reconnect with content when needed.

As a digital librarian, I want to apply descriptive metadata so that

I can maximize internal discoverability of content.

As a digital librarian, I want to capture user-generated metadata

so that I can maximize discoverability of content.

As a programmer, I want to register my program so that I can

start a series of downstream work to prepare it for distribution.

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Conclusion

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Raw Material ValueProcess

Closing Thoughts

Le mieux est l'ennemi du

bien.

The perfect is the enemy of

the good.

-Voltaire

"La Bégueule" (1772)

+

Thank You!