Building a disclosed lifelog dataset : challenges, principles and processes
Dang Nguyen, Duc Tien and Zhou, Liting and Gupta, Rashmi and Riegler, Michael and Gurrin, Cathal (2017) Building a disclosed lifelog dataset : challenges, principles and processes. In: Content-based Multimedia Indexing, 19-21 Jun 2017, Florence, Italy. ISBN 978-1-4503-5333-5 (In Press)
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In this paper, we address the challenge of how to build a disclosed lifelog dataset by proposing the principles for building and sharing such types of data. Based on the proposed principles, we describe processes for how we built the benchmarking lifelog dataset for NTCIR-13 - Lifelog 2 tasks. Further, a list of potential applications and a framework for anonymisation are proposed and discussed.
|Item Type:||Conference or Workshop Item (Paper)|
|Uncontrolled Keywords:||Lifelogging; visual lifelog; dataset
|Subjects:||Computer Science > Lifelog|
Computer Science > Information storage and retrieval systems
|DCU Faculties and Centres:||Research Initiatives and Centres > INSIGHT Centre for Data Analytics|
|Published in:||2017 15th International Workshop on Content-Based Multimedia Indexing (CBMI). Content-Based Multimedia Indexing, CBMI, International Workshop on (22). © 2017 ACM. ISBN 978-1-4503-5333-5|
|Publisher:||© 2017 ACM|
|Copyright Information:||© 2017 ACMThis 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 s or lists, or reuse of any copyrighted components of this work in other works.
|Use License:||This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License|
|Deposited On:||05 Jul 2017 13:35 by Duc-Tien Dang-Nguyen. Last Modified 08 Nov 2017 15:02|
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