TimeMatrix for Researchers Webinar

Data: 09/Sep/2020 Time: 09:00



Target group: Academic researchers in data mining and data science that are interested in art and culture.

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Day 1. Understanding the past through its parallels with the present

9:00-9:15 Introduction to the general issue of describing cultural heritage images: what is done, and what is used for?
9:15-10:00 AI-powered semantic labelling of image datasets- formats, target concepts, challenges and description of TimeMatrix and its purpose
10:00-10:30 Training data in image datasets - images and metadata, challenges
10:30-10:40 Break
10:40-11:00 Present state-of-the-art caption generators and their limitations when dealing with anachronic images
11:00-11:30 Transfer learning to describe cultural heritage images as they differ from the present way of life - anachronisms, evolution of concepts through time, minorities, symbols
11:30-12:00 Ethical issues when describing works of art according to their time context


Day 2. Technical implementation of the TimeMatrix

9:00-9:15 Filtering anachronic classes
9:15-9:45 Defining new visual classes and visual relations. For  cultural and  iconographic symbols
9:45-10:15 Refining the identification of classes and visual relations according to time context
10:15-10:30 Deep Learning implementation of anachronism correction and class refinement
10:30-10:40 Break
10:40-11:00 Current state of SGoaB
11:00-11:30 Class features and Deep Learning implementation
11:30-12:00 Discussion of anachronic correction and class refinement examples (demo)