1. TSB / MEDIA ProjectImage Processing for digital stores andUsage tracking

2. Problem Cultural Institutions have rich collections ofdigital assets, but there are many unknownsaround opening up these assets for publicconsumption. There is a great deal of [conflicting] pressureon these institutions to (a) Openly share bothmetadata and resources and (b) be comefinancially self sustaining 3. MEDIA Supports institutions in making informedchoices and supporting their chosen strategy From Selling images (Soutron Side) Through to watermarking, steganogoraphyand provenance tracking 4. Vision Cloud hosted secured image repository thatcan be configured against a host collectionmanagement system after a CC Paywall Zero local install Ability to manage multiple collections andsystems, with differing rules and processes 5. Note Following screen captures are a looseinterface on top of MEDIA services Our focus has been on configurable parameterdriven adapters that can harvest metadata intoa canonical form for image processing The screens represent a [rough] attempt tovisualise how a product might look. 6. Accounts create contextsDefined by URLHere default admin context 7. Contexts contain stores, root of URLsHere /knowledgeintegration context 8. Ingest The process of synchronizing the mediarepository with a host institutions collectionsand digital assets. Extensible system of Connectors forextracting image resources and metadata froma wide range of collection managementsystems 9. Stores contain resources,Define ConnectorsAllow resource upload 10. Add connector Wire this store upTo a collections management systemOr other source 11. Ingest Processing Majority of our work here Flexible (DSL)driven tool for Image format translation Image Metadata Generation & Embedding Steg Hide Identifiers in Document & Metadata Create Variants: Resize, Watermarks, AddMetadata, Create Thumbs [& Pyramidal Tiffs] Record locally and Index for Store 12. Stores contain images,Configure rules,Define connectors,Allow individual upload(Watermarked rezisedthumbs) 13. View original full size - But with full(Configurable) visible watermark 14. Result of Purchase link:[Really new copy function] - New Copy Item [FRBR]Newly minted embedded item copy code [GUID] No Visible WatermarkCopy/Item specific XMP and EXIF metadata for item Steg hidden ID of new item Image is unique to this occurrence of a purchase, Can be linked back to purchaserEmbedded metadata includes docid OneOf our toys is an image spider - but Google Search? 15. Use steg information to find original Buyer 16. Doc owner tool - System uses steg to extract copied doc IDand tells us who copied/purchased it originally 17. Unified SearchingSurfacing MEDIA functionality in end user applications 18. Because properties like price are now user dependent Physical union catalogues cannot be used hereThis tool uses a map-reduce approach to x-search, collating results from several sources and making use Of web-scale clustered architectures. Old style x-search did not scale well to cloud infrastructure(Session pinning problem) 19. Result from soutron Price per user, Metadata profile for purchase infoNCMG Result, no buyBut image secured, vis WM, Steg API At work Facets, Sort, Cache 20. Other toys Spider that finds copies of images Even better when google/other engines supportEXIF metadata search Still useful concept Report on all copies of an image