Direkt zum Inhalt

Schmid, Andreas ; Fischer, Thomas ; Weichart, Alexander ; Hartmann, Alexander ; Wimmer, Raphael

Demonstrating ScreenshotMatcher: Taking Smartphone Photos to Capture Screenshots

Konferenz- oder Workshop-Beitrag

Schmid, Andreas , Fischer, Thomas, Weichart, Alexander, Hartmann, Alexander und Wimmer, Raphael (2021) Demonstrating ScreenshotMatcher: Taking Smartphone Photos to Capture Screenshots. In: Mensch und Computer 2021 (MuC ’21), September 5–8, 2021, Ingolstadt, Germany. (Eingereicht)

DOI zum Zitieren dieses Dokuments: 10.5283/epub.47825


Zusammenfassung

Taking screenshots is a common way of capturing screen content to share it with others or save it for later. Even though all major desktop operating systems come with a screenshot function, a lot of people also use smartphone cameras to photograph screen contents instead. While users see this method as faster and more convenient, image quality is significantly lower. This paper is a ...

Taking screenshots is a common way of capturing screen content to share it with others or save it for later.
Even though all major desktop operating systems come with a screenshot function, a lot of people also use smartphone cameras to photograph screen contents instead.
While users see this method as faster and more convenient, image quality is significantly lower.
This paper is a demonstration of ScreenshotMatcher, a system that allows for capturing a high-fidelity screenshot by taking a smartphone photo of (part of) the screen.
A smartphone application sends a photo of the screen region of interest to a program running on the PC which retrieves the corresponding screen region with a feature matching algorithm.
The result is sent back to the smartphone.
As phone and PC communicate via WiFi, ScreenshotMatcher can also be used together with any PC in the same network running the application - for example to capture screenshots from a colleague's PC.
Released as open-source code, ScreenshotMatcher may be used as a basis for applications and research prototypes that bridge the gap between PC and smartphone.



Beteiligte Einrichtungen


Details

DokumentenartKonferenz- oder Workshop-Beitrag (Paper)
Datum5 September 2021
Veröffentlichungsdatum13 Aug 2021 11:07
InstitutionenSprach- und Literatur- und Kulturwissenschaften > Institut für Information und Medien, Sprache und Kultur (I:IMSK) > Lehrstuhl für Medieninformatik (Prof. Dr. Christian Wolff) > Physical-Digital Affordances (Dr. Raphael Wimmer)
Informatik und Data Science > Fachbereich Menschzentrierte Informatik > Lehrstuhl für Medieninformatik (Prof. Dr. Christian Wolff) > Physical-Digital Affordances (Dr. Raphael Wimmer)
Informatik und Data Science > Fachbereich Menschzentrierte Informatik > Physical-Digital Affordances (Dr. Raphael Wimmer)
Identifikationsnummer
WertTyp
10.1145/3473856.3474029DOI
Verwandte URLs
URLURL Typ
https://hci.ur.de/projects/screenshotmatcherProjekt
Stichwörter / Keywordsmobile, computer vision, cross device interaction
Dewey-Dezimal-Klassifikation000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik
StatusEingereicht
BegutachtetJa, diese Version wurde begutachtet
An der Universität Regensburg entstandenJa
Dokumenten-ID47825

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