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Considering Manual Annotations in Dynamic Segmentation of Multimodal Lifelog Data

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
Multimodal lifelog data consists of continual streams of multimodal sensor data about the life experience of an individual. In order to be effective, any lifelog retrieval system needs to segment continual lifelog data into manageable units. In this paper, we explore the effect of incorporating manual annotations into the lifelog event segmentation process, and we present a study into the effect of high-quality manual annotations on a query-time document segmentation process for lifelog data and evaluate the approach using an open and available test collection. We show that activity based manual annotations enhance the understanding of information retrieval and we highlight a number of potential topics of interest for the community.
Conference Name: 
ARDUOUS - 3rd International Workshop on Annotation of useR Data for UbiquitOUs Systems
Digital Object Identifer (DOI): 
10.1109/PERCOMW.2019.8730649
Publication Date: 
11/03/2019
Conference Location: 
Japan
Research Group: 
Institution: 
Dublin City University (DCU)
Open access repository: 
Yes