Abstract
The Netherlands Institute for Sound and
Vision (NISV) is the national audiovisual archive and
media museum of the Netherlands. The collections
comprise of over one million hours of audiovisual
material. One of the collections is that of the so-called
“Polygoon” newsreels from the 20th century. This paper
outlines recent explorations where Artificial Intelligence
technologies are used to enrich this archival material to
allow for new types of engagement. Firstly, we
investigated leveraging an existing, limited corpus of
broadcast narration by a single person to build a
working text-to-speech (TTS) system. Secondly, we
investigated the possibility of colorization of old black-
and-white video footage from the Polygoon newsreel
collection using Deep Learning approaches.
Vision (NISV) is the national audiovisual archive and
media museum of the Netherlands. The collections
comprise of over one million hours of audiovisual
material. One of the collections is that of the so-called
“Polygoon” newsreels from the 20th century. This paper
outlines recent explorations where Artificial Intelligence
technologies are used to enrich this archival material to
allow for new types of engagement. Firstly, we
investigated leveraging an existing, limited corpus of
broadcast narration by a single person to build a
working text-to-speech (TTS) system. Secondly, we
investigated the possibility of colorization of old black-
and-white video footage from the Polygoon newsreel
collection using Deep Learning approaches.
Original language | English |
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Title of host publication | New European Media Summit (NEM-Summit 2017) |
Place of Publication | Hilversum |
Publisher | The Netherlands Institute for Sound and Vision (NISV) |
Number of pages | 6 |
Publication status | Published - 2017 |
Publication series
Name | Sound and Vision Publications |
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Publisher | The Netherlands Institute for Sound and Vision (NISV) |