TimeMatrix for Researchers Webinar
Data: 09/Sep/2020 Time: 09:00
Place:
Online
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) |