Baseline analysis of a conventional and virtual reality lifelog retrieval system
Duane, AaronORCID: 0000-0002-9825-1654 and Gurrin, CathalORCID: 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
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.
International Conference on Multimedia Modeling MMM 2020, Proceedings. Lecture Notes in Computer Science
11962.
Springer International Publishing. ISBN 978-3-030-37734-2