Document (#43149)

Author
Kempf, K.
Brantl, M.
Meiers, T.
Wolf, T.
Title
Auf der Suche nach dem verborgenen Bild : Künstliche Intelligenz erschließt historische Bibliotheksbestände
Issue
Teil 3: Upload-Funktion - Grenzen der Bildähnlichkeitssuche - Fazit und Perspektiven.
Source
Open Password. 2021, Nr.914 vom 26.04.2021, [https://www.password-online.de/?mailpoet_router&endpoint=view_in_browser&action=view&data=WzI4NSwiMWIzOTRkMDllNmIxIiwwLDAsMjU0LDFd]
Year
2021
Abstract
Die von den Nutzern hochgeladenen Bilder werden nicht in den Bestand eingebracht; nach einmaliger Verwendung für eine Suche werden Uploads umgehend wieder gelöscht. Die Upload-Option gehört zu den beliebtesten Funktionen des Online-Angebotes. Das Frontend bietet zudem eine Konfigurationsmöglichkeit zur Gewichtung der Suchparameter. So kann der Schwerpunkt auf die Farb- oder die Kantenmerkmale verschoben werden. Die besten Treffer ergeben sich bei einem ausgewogenen Verhältnis von Farb- und Kantenmerkmalen. Eine Suche nach reiner Farbähnlichkeit ergibt allerdings keinen Sinn, da Farbe allein kein ausreichendes Ähnlichkeitskriterium ist. Durch Vorgabe eines Schwellenwertes (zwischen 0,1 und 1,0) lässt sich bestimmen, wie stark die Ergebnisbilder vom Suchbild abweichen sollten. Je niedriger der Wert, desto größer die zulässigen Differenzen. Hierbei ergeben sich die besten Treffer bei einem Wert zwischen 0,85 und 0,95.
Form
Bilder
Altes Buch
Inkunabeln

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  4. Otto, A.: Ordnungssysteme als Wissensbasis für die Suche in textbasierten Datenbeständen : dargestellt am Beispiel einer soziologischen Bibliographie (1998) 0.14
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  5. Engel, F.: Expertensuche in semantisch integrierten Datenbeständen (2015) 0.13
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