AV Description with AVPreserve & Indiana University
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1 AV Description with AVPreserve & Indiana University Strategies and tools to describe AV materials at scale for Indiana University s MDPI Juliet L. Hardesty Indiana University Amy Rudersdorf AVPreserve
2 MDPI: Media Digitization and Preservation Initiative Goal: To digitize, preserve and make universally available by IU s Bicentennial subject to copyright or other legal restrictions all of the time-based media objects on all campuses of IU judged important by experts."
3 2009 Media Preservation Survey IUB 560,000+ audio, video, & film objects 50+ formats 80+ units Actively degrading, obsolete formats, high risk of loss of content over next decade 15- to 20-year window to digitally preserve audio and video holdings
4 Digitization & Preservation: Phases Discovery & Access Pre-Digitization Inventory Catalog Prioritize Batch & Queue Digitization Memnon Massive parallel digitization IU Operation Unique/highly vulnerable digitization Quality control Metadata Rights issues Technical aspects Metadata Technical infrastructure Ongoing monitoring & migration Digital Preservation & Storage
5 Audio Item Library catalog record Unidentified segments
6 Video Item Little descriptive metadata Info packed in title field Also unidentified segments
7 Research and Outcomes
8 Methodology +
9 Phased approach Multiple systems Integrated workflows
10 Applied permissions Applied permissions note Beats per minute Collection Color information Color/B&W *Date created Date other *Default permissions *Department/Unit Duration Ethnicity Event Frequency information Full text Gender Genre Geographic (Recording location) Geographic other Identifiers Keywords Language Links & relationships *MDPI barcode Music present Music/Speech *Name Notes Parts/components Physical description *Publication status Publisher Relationship *Rights holder *Rights status *Role (for names) Sound/silent Source (Provenance/ Donor) Subjects Target audience *Title Type of Resource Type of title Year of renewal
11 Phase One Goals Phase Two Phase Three 1) Required and prioritized fields 2) Workflow triggers 3) Rights & access 1) Phase One metadata fields 2) Unstructured & structured text 3) Unstructured -> structured 1) Phases One & Two fields 2) Triangulate 3) Fields of value to one or more units Minimize complexity/costs Maximize implementation
12 Phase One MGMs Phase Two Phase Three Commercial content identification Human generation Human transcription Legacy closed caption recovery Legacy date/time & timecode capture Memnon output Music vs speech detection Queried/Imported data sets Segmentation Shipping manifest (POD) Silence detection Tech-embedded metadata Facial recognition Linked data Named entity recognition Natural language processing Paper & video OCR Phoneme analysis Speech to text Subtitle recovery Speech-to-text comparison & weighting Artificial intelligence Audio frequency analysis Beats per minute detection Chroma analysis Content matching Genre detection Speaker identification
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16 Considerations Multiple, phased & simultaneous integrated workflows Human input & automation work in tandem Endless possibilities
17 MDPI Next Steps Phase MDPI Access Workflows Task Force Workflow for items with library catalog record info And rights Workflow for collections with library catalog record info and EAD (finding aids) And rights Recommend changes to systems to support new workflows Recommend software for tracking rights and access decisions Recommend staffing needs
18 MDPI Next Next Steps Find collaborators Find grant funding Find a way to implement Phases 1-3!
19 Thank you! Juliet L. Hardesty Indiana Amy Rudersdorf
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