FIAT/IFTA MMC Seminar May 2015. Giant Steps: The 2020 Broadcaster Archive. Theo Mausli SRG SSR

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Theo Mäusli (SGR SSR) with a contribution of Sarah-Haye Aziz, Lorenzo Vassallo, Francesco Veri (RSI) FIAT/IFTA Media Management Seminar 2015 Glasgow - May 21st 22nd

Transcript of FIAT/IFTA MMC Seminar May 2015. Giant Steps: The 2020 Broadcaster Archive. Theo Mausli SRG SSR

Theo Mäusli (SGR SSR) with a contribution of Sarah-Haye Aziz, Lorenzo Vassallo, Francesco Veri (RSI)

FIAT/IFTA Media Management Seminar 2015

Glasgow - May 21st – 22nd

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Agenda

0. Introduction, context

1. Selection

2. Dataflow

3. Traceability

4. Data mining

5. Artificial intelligence

6. The archivist is a coach

Conclusion: please, industry

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SRG Task Force about the realization of archive

strategies 2015-2020

• Archiving its entire own production in high definition, if economically sustainable

• Harmonization, standardization and centralization

• Greater use, also for externals

• …

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analysis in 4 steps:

1. What will be the SRG content production in 2020? What will be the rule of the archives in suchcontext?

2. What will be the archive‘s policies, considering the evolution in SRG production and the macro evolution of the technical/economical factors?

3. How can these policies be realized (structures, instruments, technical and human resources)

4. Scenarios, roadmap and cost evaluations

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6 main hypotheses:

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Conclusion 1: this is not new

Many archives are already behaving as a 2020

archive, using dataflows, data mining and new

skills (very dinamical experiences by RTS and

SRF)

The case of RSI (upadates of the last seminar

contribution by Sarah, Lorenzo and Francesco)

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Updates on SIA at RSISarah-Haye Aziz, Lorenzo Vassallo, Francesco Veri

May 2015

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SIA’s sources in TV and Radio (2011-2012)

Audio and Images

Audio

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…Differences between Radio and TV

Background Music/Noise does not help the transcription.

Based only on silences and

without key frames, the system

creates too many sequences.

Key frames help to locate a

change of context.

Speech rhythm and pauses are different between and .

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Solution – Capitalize 24h Radio Logging

24h Radio Logging

0 24

Semantic Engine

Semantic Analysis:Categorisation

Catalogue

Automatic Cut

+ Editorial Text

Editorial Text ThemesGeo RefCredits+

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User download from 24h logging

• Audio material retrievable using metadata automatically acquired from the channel schedule

• Download from the 24 h Radio logging

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Capitalize editorial texts

• Automatic Semantic Analysis of the editorial text

• Automatic uploading of the editorial texts on CMM

• Terms not related to our thesaurus become keywords

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Further implementation

• This solution can be implemented on webpages

• Automatic semantic analysis of web content

Automatic categorisation of the webpages content

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Hello everybody!

Contact us for

more information!Well done

Theo!

[email protected] [email protected]@rsi.ch

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Conclusion: please, industry

• The features are not new, but they are not integrated into the archive

systems yet

• It is not the job of the archivists to integrate them

• The archivist comunity should ask the industry to provide standard

solutions

• The archive comunity has to accept comun workflows and standards

(learned yesterday!)

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Conclusion: …. and collaboration

SRG SSR looks forward to collaborate and

benchmark with FIAT/IFTA community

thank you for your attention

Theo Mäusli, Lugano, Switzerland

[email protected]

+41 91 803 51 28