Creating a 4D Street View of Amsterdam from Historical Images

Poster (2019)
Author(s)

R.M. Siebes (TU Delft - Pattern Recognition and Bioinformatics)

Seyran Khademi (TU Delft - Pattern Recognition and Bioinformatics)

Tino Mager (TU Delft - History, Form & Aesthetics)

C.M. Hein (TU Delft - History, Form & Aesthetics)

Victor de Boer (Vrije Universiteit Amsterdam)

J.C. Van Gemert (TU Delft - Pattern Recognition and Bioinformatics)

Research Group
History, Form & Aesthetics
Copyright
© 2019 R.M. Siebes, S. Khademi, Tino Mager, C.M. Hein, Victor de Boer, J.C. van Gemert
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 R.M. Siebes, S. Khademi, Tino Mager, C.M. Hein, Victor de Boer, J.C. van Gemert
Research Group
History, Form & Aesthetics
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

The ArchiMediaL project aims to bridge between data science and researches on contemporary and historical built environments by developing state of the art AI algorithms for the automatic linking of available meta-data and image repositories. As a case-study we use the 360,000+ historical images from the Amsterdam Beeldbank database.

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