| WP5 |  |
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| Netherlands Institute for Sound and Vision | ||
| Linked data; Collections; Speech recognition; Audiovisual data | ||
| http://www.beeldengeluid.nl/kennis/experts/willem-melder |
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| For CLARIAH WP5 I am part of the team that sets up the audiovisual infrastructure at NISV. With a background in artificial intelligence and speech technology I’m focusing on automatic processing of audiovisual data and making it better accessible within a robust infrastructure. For NISV I am also participating within NDE in the workgroup Architecture, aiming to make digital heritage better interoperable and accessible for users. |
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| WP5 |  |
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| UvA, Nederlands Instituut voor Beeld en Geluid | ||
| Computer vision; Digital humanities; Machine learning | ||
| https://nanne.github.io/ | ||
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Binnen CLARIAH WP5 werk ik aan het vergroten van de toegankelijkheid en vindbaarheid van audiovisueel materiaal door het toepassen en ontwikkelen van computer vision algoritmes. |
| WP5 |  |
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| CLARIAH, Universiteit Utrecht | ||
| Audiovisual archives; film and media studies; digital methods, heritage and humanities | ||
| https://www.uu.nl/medewerkers/CGOlesen | ||
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Christian Olesen is a postdoctoral researcher and lecturer at Utrecht University’s Department of Media and Culture. He holds a PhD degree in Media Studies (University of Amsterdam, 2017, cum laude) and has expertise in the areas of digital scholarship and methods in film and media studies, film historiography and access and reuse of (digitized) audiovisual archives for various user groups. Within CLARIAH WP5 he is responsible for developing digital teaching and training materials for Dutch media studies curricula, based on the tools and collections available in the CLARIAH Media Suite. |
