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Demonstrating ScreenshotMatcher: Taking Smartphone Photos to Capture Screenshots
Schmid, Andreas
, Fischer, Thomas, Weichart, Alexander, Hartmann, Alexander and Wimmer, Raphael
(2021)
Demonstrating ScreenshotMatcher: Taking Smartphone Photos to Capture Screenshots.
In: Mensch und Computer 2021 (MuC ’21), September 5–8, 2021, Ingolstadt, Germany.
(Submitted)
Date of publication of this fulltext: 13 Aug 2021 11:07
Conference or workshop item
DOI to cite this document: 10.5283/epub.47825
Abstract
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.
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Involved Institutions
Details
| Item type | Conference or workshop item (Paper) | ||||
| Date | 5 September 2021 | ||||
| Institutions | Languages and Literatures > Institut für Information und Medien, Sprache und Kultur (I:IMSK) > Lehrstuhl für Medieninformatik (Prof. Dr. Christian Wolff) > Physical-Digital Affordances (Dr. Raphael Wimmer) Informatics and Data Science > Department Human-Centered Computing > Lehrstuhl für Medieninformatik (Prof. Dr. Christian Wolff) > Physical-Digital Affordances (Dr. Raphael Wimmer) Informatics and Data Science > Department Human-Centered Computing > Physical-Digital Affordances (Dr. Raphael Wimmer) | ||||
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| Keywords | mobile, computer vision, cross device interaction | ||||
| Dewey Decimal Classification | 000 Computer science, information & general works > 004 Computer science | ||||
| Status | Submitted | ||||
| Refereed | Yes, this version has been refereed | ||||
| Created at the University of Regensburg | Yes | ||||
| Item ID | 47825 |
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