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Title: Summary abstract for the 1st ACM international workshop on personal data meets distributed multimedia
Authors: Singh, V.K.
Chua, T.-S. 
Pentland, A.
Jain, R.
Keywords: Distributed multimedia
Personal data
Reality mining
Sensor networks
Situation recognition
Social networks
Issue Date: 2013
Source: Singh, V.K.,Chua, T.-S.,Pentland, A.,Jain, R. (2013). Summary abstract for the 1st ACM international workshop on personal data meets distributed multimedia. MM 2013 - Proceedings of the 2013 ACM Multimedia Conference : 1105-1106. ScholarBank@NUS Repository.
Abstract: Multimedia data are now created at a macro, public scale as well as individual personal scale. While distributed multimedia streams (e.g. images, microblogs, and sensor readings) have recently been combined to understand multiple spatio-temporal phenomena like epidemic spreads, seasonal patterns, and political situations; personal data (via mobile sensors, quantified-self technologies) are now being used to identify user behavior, intent, affect, social connections, health, gaze, and interest level in real time. An effective combination of the two types of data can revolutionize multiple applications ranging from healthcare, to mobility, to product recommendation, to content delivery. Building systems at this intersection can lead to better orchestrated media systems that may also improve users' social, emotional and physical wellbeing. For example, users trapped in risky hurricane situations can receive personalized evacuation instructions based on their health, mobility parameters, and distance to nearest shelter. This workshop bring together researchers interested in exploring novel techniques that combine multiple streams at different scales (macro and micro) to understand and react to each user's needs. Copyright © 2013 ACM.
Source Title: MM 2013 - Proceedings of the 2013 ACM Multimedia Conference
ISBN: 9781450324045
DOI: 10.1145/2502081.2503836
Appears in Collections:Staff Publications

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