@inproceedings {26859,
	title = {Medical Multimedia Systems and Applications},
	journal = {Proceedings of the 27th ACM International Conference on Multimedia  - MM {\textquoteright}19},
	year = {2019},
	month = {1072019},
	pages = {2711-2713},
	publisher = {ACM Press},
	address = {New York, NY, USA},
	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.},
	isbn = {9781450368896},
	doi = {https://doi.org/10.1145/3343031.3351319},
	url = {http://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},
	author = {Halvorsen, P{\r a}l and Riegler, Michael and Schoeffmann, Klaus},
	editor = {Amsaleg, Laurent and Huet, Benoit and Larson, Martha and Gravier, Guillaume and Hung, Hayley and Ngo, Chong-Wah and Wei Tsang {Ooi}}
}
