Kim, Pil Ho and Giunchiglia, Fausto (2011) Lifelog Event Management: Crowd Research Case Study. UNSPECIFIED.
Lifelog research involves complex event analysis that requires the efforts of many advanced experts in different disciplines. It also handles privacy and/or copyrighted materials where mutual consent on the use of data is very important. Thus we propose a secure Web-based lifelog database service to help researchers concentrate efforts to solve difficult research issues. This paper details many aspects of lifelog research topics and technical challenges that the author has experienced over one year case study. It also describes economical and efficient methods to implement the back-end system and services for real lifelog event management. © ACM, 2011. This is the author’s version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in the ACM Multimedia 2011: Joint ACM Workshop on Modeling on Events in Multimedia (EiMM11).
|Item Type: ||Departmental Technical Report|
|Department or Research center: ||Information Engineering and Computer Science|
|Subjects: ||Q Science > QA Mathematics > QA076 Computer software|
|Uncontrolled Keywords: ||Event, Information Management, Lifelog, Real-life logging|
|Additional Information: ||Accepted for publication to Joint Workshop on Modeling and Representing Events J-MRE 2011 (EiMM'11 / SRED'11) at ACM MM 2011 (http://www.acmmm11.org/content-j-mre11.html), scheduled for Nov 28th - Dec. 1st at Scottsdale, AZ, USA.|
|Report Number: ||DISI-11-473|
|Repository staff approval on: ||29 Sep 2011|
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