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MemLog, an enhanced Lifelog annotation and search tool


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

Publication Type: 
Refereed Conference Meeting Proceeding
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)
MMM 2025. Lecture Notes in Computer Science 8936. Springer. ISBN 978-3-319-14442-9
Digital Object Identifer (DOI): 
Publication Date: 
Conference Location: 
Research Group: 
Dublin City University (DCU)
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