Multimedia Information Retrieval in XR

The way we create, consume and interact with multimedia content has changed significantly in recent years with the advent of affordable recording devices and easy sharing and access in the form of mobile phones. With the imminent wave of affordable devices that enable mixed reality experiences and the large variety of devices on the market, interaction with multimedia content is expected to continue to evolve rapidly. This will also drastically affect the entire area of multimedia information retrieval in eXtended Reality (XR), for instance by novel ways to express user needs in VR, result presentation that takes the specific capabilities of XR devices into account, and/or result feedback. This tutorial on Multimedia Retrieval in XR discusses and demonstrates existing solutions and highlights key challenges in this evolving field.

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Publication Details

Published
2024-10-26
DOI
https://doi.org/10.1145/3664647.3689176
Primary Topic
Advanced Image and Video Retrieval Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Multimedia Information Retrieval in XR

Ralph Gasser, Heiko Schuldt, Rahel Arnold, Werner Bailer et al.
Advanced Image and Video Retrieval Techniques
article

Multimedia Information Retrieval in XR

Ralph Gasser, Heiko Schuldt, Rahel Arnold, Werner Bailer, Lucia Vadicamo, Omar Shahbaz Khan, Florian Spieß, Björn Þór Jónsson
article en

Abstract

The way we create, consume and interact with multimedia content has changed significantly in recent years with the advent of affordable recording devices and easy sharing and access in the form of mobile phones. With the imminent wave of affordable devices that enable mixed reality experiences and the large variety of devices on the market, interaction with multimedia content is expected to continue to evolve rapidly. This will also drastically affect the entire area of multimedia information retrieval in eXtended Reality (XR), for instance by novel ways to express user needs in VR, result presentation that takes the specific capabilities of XR devices into account, and/or result feedback. This tutorial on Multimedia Retrieval in XR discusses and demonstrates existing solutions and highlights key challenges in this evolving field.

Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" (IT), Reykjavík University (IS), Joanneum Research (AT), University of Basel (CH), National Research Council (IT)
Openalex Percentile: Top 82%
Advanced Image and Video Retrieval Techniques
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Multimedia Information Retrieval in XR — Ralph Gasser, Heiko Schuldt, et al. · (2024) | TGRS Research Map | TGRS