AuthorsP. Halvorsen, M. Riegler and K. Schoeffmann
EditorsL. Amsaleg, B. Huet, M. Larson, G. Gravier, H. Hung, C. Ngo and W. T. Ooi
TitleMedical Multimedia Systems and Applications
AfilliationMachine Learning
Project(s)Department of Holistic Systems
StatusPublished
Publication TypeProceedings, refereed
Year of Publication2019
Conference NameProceedings of the 27th ACM International Conference on Multimedia - MM '19
Date Published1072019
PublisherACM Press
Place PublishedNice, FranceNew York, New York, USA
ISBN Number9781450368896
Abstract

In recent years, we have observed a rise of interest in the multimedia community towards research topics related to health. It can be observed that this goes into two interesting directions. One is personal health with a larger focus on well-being and everyday healthy living. The other direction focuses more on multimedia challenges within the health-care systems, for example, how can multimedia content produced in hospitals be used efficiently but also on the user perspective of patients and health-care personal. Challenges and requirements in this interesting and challenging direction are similar to classic multimedia research, but with some additional pitfalls and challenges. This tutorial aims to give a general introduction to the research area; to provide an overview of specific requirements, pitfalls and challenges; to discuss existing and possible future work; and to elaborate on how machine learning approaches can help in multimedia-related challenges to improve the health-care quality for patients and support medical experts in their daily work.

URLhttp://dl.acm.org/citation.cfm?doid=3343031http://dl.acm.org/citation.cfm?doid=3343031.3351319http://dl.acm.org/ft_gateway.cfm?id=3351319&ftid=2091902&dwn=1
DOI10.1145/334303110.1145/3343031.3351319
Citation Key26859

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