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Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings Yes
Title Spatially Localised Immersive Contemporary and Historic Photo Presentation on Mobile Devices in Augmented Reality
Organization Unit
Authors
  • Loris Sauter
  • Tim Bachmann
  • Luca Rossetto
  • Heiko Schuldt
Presentation Type paper
Item Subtype Original Work
Refereed No
Status Published in final form
Language
  • English
ISBN 9798400702792
Page Range 13 - 19
Event Title MM '23: The 31st ACM International Conference on Multimedia
Event Type workshop
Event Location Ottawa ON Canada
Event Start Date November 2 - 2023
Event End Date November 2 - 2023
Place of Publication New York, NY, USA
Publisher ACM Digital Library
Abstract Text These days, taking a photo is the most common way of capturing a moment. Some of these photos captured in the moment are never to be seen again. Others are almost immediately shared with the world. Yet, the context of the captured moment can only be shared to a limited extent. The continuous improvement of mobile devices has not only led to higher resolution cameras and, thus, visually more appealing pictures but also to a broader and more precise range of accompanying sensor metadata. Positional and bearing information can provide context for photos and is thus an integral aspect of the captured moment. However, it is commonly only used to sort photos by time and possibly group by place. Such more precise sensor metadata, combined with the increased computing power of mobile devices, can enable more and more powerful Augmented Reality (AR) capabilities, especially for communicating the context of a captured photo. Users can thereby witness the captured moment in its real location and also experience its spatial contextualization. With the help of a suitable data augmentation, such context-preserving presentation can be extended even to non-digitally born content, including historical images. This offers new immersive ways to experience the cultural history of one's current location. In this paper, we present an approach for location-based image presentation in AR on mobile devices. With this approach, users can experience captured moments in their physical context. We demonstrate the power of this approach based on a prototype implementation and evaluate it in a user study.
Free access at DOI
Digital Object Identifier 10.1145/3607542.3617358
Other Identification Number merlin-id:24141
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