Starten Sie Ihre Suche...


Durch die Nutzung unserer Webseite erklären Sie sich damit einverstanden, dass wir Cookies verwenden. Weitere Informationen

Methods for Georeferencing Linear and Non-Linear Media Content

GI_Forum: Designing Future with Geoinformatics. Bd. 10. H. 2. Salzburg: Verlag der Österreichischen Akademie der Wissenschaften 2022 S. 66 - 72 s66

Erscheinungsjahr: 2022

Publikationstyp: Zeitschriftenaufsatz (Konferenzbeitrag)

Sprache: Englisch

Doi/URN: https://verlag.oeaw.ac.at/api/download/content/9783700193692_kapitel_66_72.pdf

Volltext über DOI/URN

GeprüftBibliothek

Inhaltszusammenfassung


Various methods, for example image recognition, speech-to-text algorithms, and natural language processing, can be used to capture location references in linear and non-linear media content. The methods differ in terms of the technologies, procedures or media, such as the audio track or video images. Our investigation, which is based on the metadata of a video, reveals that georeferencing media content is possible, and that, using examples from the ARD Mediathek, the genre and thus the conten...Various methods, for example image recognition, speech-to-text algorithms, and natural language processing, can be used to capture location references in linear and non-linear media content. The methods differ in terms of the technologies, procedures or media, such as the audio track or video images. Our investigation, which is based on the metadata of a video, reveals that georeferencing media content is possible, and that, using examples from the ARD Mediathek, the genre and thus the content of a video can influence the results.» weiterlesen» einklappen

  • Georeferencing
  • Media Content
  • Image
  • Audio
  • Recognition
  • Data Analysis

Autoren


Horbach, Flavio (Autor)
Visca, Dominik (Autor)
Pagel, Sven (Autor)
Neis, Pascal (Autor)

Klassifikation


DFG Fachgebiet:
Informatik

DDC Sachgruppe:
Informatik

Verknüpfte Personen


Beteiligte Einrichtungen