The Routledge Companion to Digital Humanities and Art History.
Brown, K.,
editor.
of Routledge art history and visual studies companionsRoutledge, New York, 2020.
link
bibtex
abstract
@book{brown_routledge_2020,
address = {New York},
series = {Routledge art history and visual studies companions},
title = {The {Routledge} {Companion} to {Digital} {Humanities} and {Art} {History}},
isbn = {978-0-429-50518-8},
abstract = {"The Routledge Companion to Digital Humanities and Art History offers a broad survey of cutting-edge intersections between digital technologies and the study of art history, museum practices, and cultural heritage. The volume focuses not only on new computational tools that have been developed for the study of artworks and their histories, but also debates the disciplinary opportunities and challenges that have emerged in response to the use of digital resources and methodologies. Chapters cover a wide range of technical and conceptual themes that define the current state of the field and outline strategies for future development. This book offers a timely perspective on trans-disciplinary developments that are reshaping art historical research, conservation, and teaching. This book will be of interest to scholars in art history, historical theory, method and historiography, and research methods in education"--},
publisher = {Routledge},
editor = {Brown, Kathryn},
year = {2020},
keywords = {Art, Digital humanities, Historiography Data processing},
}
"The Routledge Companion to Digital Humanities and Art History offers a broad survey of cutting-edge intersections between digital technologies and the study of art history, museum practices, and cultural heritage. The volume focuses not only on new computational tools that have been developed for the study of artworks and their histories, but also debates the disciplinary opportunities and challenges that have emerged in response to the use of digital resources and methodologies. Chapters cover a wide range of technical and conceptual themes that define the current state of the field and outline strategies for future development. This book offers a timely perspective on trans-disciplinary developments that are reshaping art historical research, conservation, and teaching. This book will be of interest to scholars in art history, historical theory, method and historiography, and research methods in education"–
Das Digitalisat als Objekt der Begierde: Anforderungen an digitale Sammlungen für Forschung in der Digitalen Kunstgeschichte.
Gasser, S.
In Andraschke, U.; and Wagner, S., editor(s),
Objekte im Netz. Wissenschaftliche Sammlungen im digitalen Wandel, of Digitale Gesellschaft, pages 261–276. Transcript Verlag, Bielefeld, 2020.
Paper
doi
link
bibtex
1 download
@incollection{gasser_digitalisat_2020,
address = {Bielefeld},
series = {Digitale {Gesellschaft}},
title = {Das {Digitalisat} als {Objekt} der {Begierde}: {Anforderungen} an digitale {Sammlungen} für {Forschung} in der {Digitalen} {Kunstgeschichte}},
isbn = {978-3-8376-5571-1},
url = {https://www.transcript-verlag.de/media/pdf/13/4b/be/oa9783839455715G024TrtLLmLeY.pdf},
language = {de},
number = {33},
booktitle = {Objekte im {Netz}. {Wissenschaftliche} {Sammlungen} im digitalen {Wandel}},
publisher = {transcript Verlag},
author = {Gasser, Sonja},
editor = {Andraschke, Udo and Wagner, Sarah},
year = {2020},
doi = {10.14361/9783839455715-019},
pages = {261--276},
}
imgs.ai: Die Suche durch Bilder.
Oliveira, S.
November 2020.
Paper
link
bibtex
abstract
@misc{oliveira_imgsai_2020,
type = {Blog},
title = {imgs.ai: {Die} {Suche} durch {Bilder}},
shorttitle = {imgs.ai},
url = {https://einblicke.hypotheses.org/170},
abstract = {Imgs.ai ist ein Tool, um Bilder aus unterschiedlichen Datensätzen zu finden. Entwickelt wurde es von Fabian Offert mit Unterstützung von Oleg Harlamov und Peter Bell, der uns die Funktionen in Form eines Workshops vermittelte. Die Entwicklung des Tools befindet sich zur Zeit in der Beta-Phase und wird unter einer Open-Source-Lizenz zur Verfügung gestellt. Beta-Phase meint […]},
language = {de-DE},
urldate = {2020-12-28},
journal = {Einblicke in die Digital Humanities},
author = {Oliveira, Simona},
month = nov,
year = {2020},
}
Imgs.ai ist ein Tool, um Bilder aus unterschiedlichen Datensätzen zu finden. Entwickelt wurde es von Fabian Offert mit Unterstützung von Oleg Harlamov und Peter Bell, der uns die Funktionen in Form eines Workshops vermittelte. Die Entwicklung des Tools befindet sich zur Zeit in der Beta-Phase und wird unter einer Open-Source-Lizenz zur Verfügung gestellt. Beta-Phase meint […]