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Baseline analysis of a conventional and virtual reality lifelog retrieval system

Duane, Aaron orcid logoORCID: 0000-0002-9825-1654 and Gurrin, Cathal orcid logoORCID: 0000-0003-2903-3968 (2019) Baseline analysis of a conventional and virtual reality lifelog retrieval system. In: 26th International Conference on Multimedia Modeling - MMM 2020, January 5-8 2020, Daejeon, South Korea. ISBN 978-3-030-37734-2

Abstract
Continuous media capture via a wearable devices is currently one of the most popular methods to establish a comprehensive record of the entirety of an individual's life experience, referred to in the research community as a lifelog. These vast multimodal corpora include visual and other sensor data and are enriched by content analysis, to generate as extensive a record of an individual's life experience. However, interfacing with such datasets remains an active area of research, and despite the advent of new technology and a plethora of competing mediums for processing digital information, there has been little focus on newly emerging platforms such as virtual reality. In this work, we suggest that the increase in immersion and spatial dimensions provided by virtual reality could provide significant benefits to users when compared to more conventional access methodologies. Hence, we motivate virtual reality as a viable method of exploring multimedia archives (specifically lifelogs) by performing a baseline comparative analysis using a novel application prototype built for the HTC Vive and a conventional prototype built for a standard personal computer.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:virtual reality
Subjects:Computer Science > Information retrieval
Computer Science > Interactive computer systems
Computer Science > Machine learning
Computer Science > Visualization
Computer Science > Information storage and retrieval systems
Computer Science > Lifelog
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Institutes and Centres > INSIGHT Centre for Data Analytics
Published in: International Conference on Multimedia Modeling MMM 2020, Proceedings. Lecture Notes in Computer Science 11962. Springer International Publishing. ISBN 978-3-030-37734-2
Publisher:Springer International Publishing
Official URL:http://dx.doi.org/10.1007/978-3-030-37734-2_34
Copyright Information:© 2019 Springer
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:24199
Deposited On:10 Feb 2020 14:59 by Aaron Duane . Last Modified 15 Dec 2021 15:56
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