The International Image Interoperability Framework (IIIF) 2017 Conference in The Vatican is intended for a wide range of participants and interested parties, including digital image repository managers, content curators, software developers, scholars, and administrators at libraries, museums, cultural heritage institutions, software firms, and other organizations working with digital images and audio/visual materials. The conference will consist of two events with separate registration:
IIIF Conference, 7-9 June (3 days of plenary and parallel sessions). The pre-conference Mirador Viewer and Universal Viewer group meetings will take place on Monday, June 5, prior to the Showcase event and conference.
Limited Capacityfull Adding this to your schedule will put you on the waitlist.
At Cogapp our latest research has focused on image analysis and machine learning using the million images available from the Qatar Digital Library, as well as other IIIF repositories. We started with a simple problem: how to automatically identify "visually interesting" documents (i.e. those with illustrations and diagrams) among the hundreds of thousands that do not have these features. This led us to explore techniques for image analysis, ranging from colour extraction using services such as Imagaa, to machine learning techniques to classify documents after training with sample data sets. For these we used both bespoke software using the Python scikit-learn library, and third-party API services such as Clarifai. In this talk we'll show how to use the IIIF Presentation and Image APIs to gather input, followed by discussing the interesting outcomes from our use of these techniques for bulk image analysis.
