Category Archives: Feature Extraction

Browsing Moving Image Collections

As the SEMIA project reaches its final stage, we will be releasing a few more posts in which we report on what we did, and learnt, over the course of the past two years. In the first two items to … Continue reading

Posted in Browsing, Computer Vision, Feature Extraction, Interfaces, Machine Learning, Moving Image Archives | Leave a comment

International Symposium: Sensory Moving Image Archives – Visualization, Exploration and Reuse of Moving Image Data

We are very happy to announce that SEMIA will be organizing a two-day international symposium on visualization, exploration and reuse of moving image data next year in February, at the University of Amsterdam. The call for papers can be found … Continue reading

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Learning Visual Representations of Style

On May 16, 2018 Nanne van Noord defended his PhD thesis on learning visual representations of style at the University of Tilburg. He conducted his PhD research as part of the REVIGO project, prior to joining the SEMIA team. Below, he … Continue reading

Posted in Feature Extraction, Stylometrics | Leave a comment

First SEMIA Workshop: objectives and short report

One of the ways in which the SEMIA project team has sought from the start to further develop its key concerns and objectives, is through the organization of a number of workshops involving representatives of the three ‘user groups’ the … Continue reading

Posted in Artistic Research, Feature Extraction, Media History, Workshop | Leave a comment

SEMIA’s Objectives: short elaboration

In the SEMIA project, we investigate the affordances of visual analysis and data visualization for exploring large collections of digitized moving images. In doing so, we try to accomplish a number shifts in relation to other Digital Humanities projects of … Continue reading

Posted in Data Visualization, Feature Extraction, Moving Image Archives | Leave a comment