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VRA 2012, Embedded Metadata, Embedding Metadata in Image Files at Cal Poly, San Luis Obispo

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Presented by Sheryl Frisch at the Annual Conference of the Visual Resources Association, April 18th - April 21st, 2012, in Albuquerque, New Mexico.

Session: Embedded metadata in cultural image collections and beyond

Over the past few years visual resources professionals have increasingly been using embedded metadata as an effective way to collect initial cataloging data, to ensure the delivery of key information with images, to archive image information, and to link VRA Core 4 with other schemas in the larger digital imaging environment. The activities and case study examples presented by panel members will include improving workflow efficiency within visual resources operations and developing ongoing relations with the International Press Telecommunications Council, a pioneer in embedding metadata into images. While this work addresses the immediate needs of visual resources for art, architecture, and related fields, it simultaneously looks outward to the increasing interoperability of all digital materials available in library collections and on the world wide web.

ORGANIZER & MODERATOR: Steve Tatum, Virginia Tech
PRESENTERS:

1: Sheryl Frisch, California Polytechnic State University, San Luis Obispo
2: Joshua Lynn and Heidi Raatz, Minneapolis Institute of Arts
3: Gregory Reser, University of California, San Diego
4: Steve Tatum, Virginia Tech

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VRA 2012, Embedded Metadata, Embedding Metadata in Image Files at Cal Poly, San Luis Obispo

  1. 1. Embedded metadata in culturalimage collections and beyond: Embedding Metadata in Image Files at CalPoly, San Luis Obispo Sheryl Frisch Visual Resources Specialist Department of Art & Design sfrisch@calpoly.edu VRA 2012 Albuquerque
  2. 2. Why?kans3637.jpg vs.Vigee-Lebrun. Portrait of Marie Gabrielle de Gramont, Duchesse de Caderousse.jpg VRA 2012 Albuquerque
  3. 3. S Size up the situationU Use what’s availableR Remember where you arev Vanquish fear, solve the problem (expectations vs. reality)i Improvisev Value livinga Actl Learn basic skills (“Learn by doing”)-- Adapted from, “The U.S. Army Survival Manual: Department of the Army FieldManual 21-76” VRA 2012 Albuquerque
  4. 4. Size up the situationArt & Design program (BFA) • Graphic Design • Photography • Studio ArtStaffing • 1 VR professional curator, 10 months • 2-5 student assistants, non-art majorsBudget:Primarily for student assistants VRA 2012 Albuquerque
  5. 5. Use what’s available At the time: • Beige Mac • Students • Slide scanner • Photoshop • FileMaker (text based) used for slides and digital images VRA 2012 Albuquerque
  6. 6. Evolution of Embedding Metadata Initially the file name is placed in the “Document Title” field Next, data is made to “fit” into Adobe’s XMP fields VRA 2012 Albuquerque
  7. 7. Custom File Info Panels 3 Panels were created: • Creator • Work • Image VRA 2012 Albuquerque
  8. 8. Bridge PalettesCreatorImage Work VRA 2012 Albuquerque
  9. 9. Pre-Cataloging in Bridge CS3 • Students enter data for each image • Data is embedded into the image • Includes batch processing VRA 2012 Albuquerque
  10. 10. Pre-Cataloging in Bridge CS3 – Exporting Data Script exports selected metadata VRA 2012 Albuquerque
  11. 11. Data is reviewed and corrected VRA 2012 Albuquerque
  12. 12. Data is imported back into the file VRA 2012 Albuquerque
  13. 13. Example correctionBefore After• Users can search on any term• Image information is no longer dependent on a database• Data can be cleanly exported and imported VRA 2012 Albuquerque
  14. 14. Repurpose Data • Database (import/ingest) EmbARK • Course Web Sites – Web – Blackboard – Moodle (PolyLearn) VRA 2012 Albuquerque
  15. 15. RepurposedData - Image Caption• Captions provided by faculty• Imported into “Description Field”• Web pages automatically generated• Uploaded to Web, BB, Moodle VRA 2012 Albuquerque
  16. 16. Ideal Workflow Low Source • Images oriented & cropped * Scanned • Saved as Tiffs Metadata • Data entered Embedded • Reviewed, peer checked Images • Color, contrast, etc. Edited • Resized Curator • Data reviewed • Images reviewed & distributed High* Faculty can obtain images at different points Quality throughout the workflow. VRA 2012 Albuquerque
  17. 17. VRA’s Custom Panel VRA 2012 Albuquerque
  18. 18. Beyond: The CSU Panel VRA 2012 Albuquerque
  19. 19. CSU Visual Collective - DSpace VRA 2012 Albuquerque
  20. 20. CSU Visual Collective - DSpaceFullRecordSource Data VRA 2012 Albuquerque
  21. 21. CSU Visual CollectiveFutureFeature:Google Books• Online access to original source• Link to library resources VRA 2012 Albuquerque
  22. 22. CSU Visual Collective VRA 2012 Albuquerque
  23. 23. S Why?U Deluge of imagesRv • 250 million images are uploaded to Facebook each day • 4.2 million Flickr each day, 51 million registeredi membersv How will we survive without Embedded Metadata?al Image removed due to copyright. See: Erik Kessels, installation, printed all images posted to Flickr in a 24, hour period. 350,000 prints. Foam, Amsterdam. 2011.@: http://www.foam.org/foam-amsterdam/exhibitions/whatsnext/kessels VRA 2012 Albuquerque
  24. 24. Thank YouJohn VuGreg Reser, UC San DiegoDr. Kathleen Cohen, CSU Image ProgramCSU Center for Distributed LearningMarvin Pollard, CSU Systemwide Digital Library ServicesCSU Visual Resources SpecialistsImages courtesy of:Kathleen Cohen, CSU WorldImages (http://worldimages.sjsu.edu) VRA 2012 Albuquerque
  25. 25. VRA 2012 Albuquerque

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