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Automatically detecting important moments from everyday life using a mobile device

Qiu, Zhengwei and Gurrin, Cathal and Doherty, Aiden R. and Smeaton, Alan F. (2011) Automatically detecting important moments from everyday life using a mobile device. In: CHI 2011 Workshop on Video interaction – Making broadcasting a successful social media, 2011-05-07, Vancouver, Canada.

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Abstract

This paper proposes a new method to detect important moments in our lives. Our work is motivated by the increase in the quantity of multimedia data, such as videos and photos, which are capturing life experiences into personal archives. Even though such media-rich data suggests visual processing to identify important moments, the oft-mentioned problem of the semantic gap means that users cannot automatically identify or retrieve important moments using visual processing techniques alone. Our approach utilises on-board sensors from mobile devices to automatically identify important moments, as they are happening.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Uncontrolled Keywords:video retrieval; video indexing
Subjects:Computer Science > Lifelog
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:16357
Deposited On:07 Jun 2011 14:07 by Zhengwei Qiu. Last Modified 17 Apr 2013 14:42

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