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MemLog, an enhanced Lifelog annotation and search tool

Authors: 

Lijuan Marissa Zhou, TengQi Ye, Brian Moynagh, Liting Zhou, Cathal Gurrin

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
As of very recently, we have observed a convergence of tech- nologies that have led to the emergence of lifelogging as potentially per- vasive technology with many real-world use cases. While it is becoming easier to gather massive lifelog data archives with wearable cameras and sensors, there are still challenges in developing effective retrieval systems. One such challenge is in gathering annotations to support user access or machine learning tasks in an effective and efficient manner. In this paper, we demonstrate a web based on-line annotation system for sensory and visual lifelog data and show it in operation on a large archive of nearly 1 million lifelog images and 27 semantic concepts in 4 categories.
Conference Name: 
21st International Conference on MultiMedia Modeling (MMM 2015)
Proceedings: 
MMM 2025. Lecture Notes in Computer Science 8936. Springer. ISBN 978-3-319-14442-9
Digital Object Identifer (DOI): 
10.1007/978-3-319-14442-9_34
Publication Date: 
05/01/2015
Conference Location: 
Australia
Research Group: 
Institution: 
Dublin City University (DCU)
Open access repository: 
Yes