Smart lifelog retrieval system with habit-based concepts and moment visualization

Abstract

Lifelogging is a new trend of research in which we collect and analyze people's daily activities to gain insight into people daily basis and enhance people's life quality. This leads to many research in retrieval systems to be developed for lifelogging analysis. One of the most important factors of a successful lifelogging retrieval system is to enhance the user's ability to perform any queries, even arbitrary ones. This motivates our proposal of a retrieval system in which we focus on the two main properties. The first property is the ability to accurately annotate the lifelog dataset with metadata that is meaningful for the retrieving process. The second property focuses on a powerful user interface that supports a novice user to perform the retrieval efficiently.