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VieLens: An Interactive Search engine for LSC2019

Authors: 

Son P Nguyen, Dien H Le, Uyen H Pham, Martin Crane, Graham Healy, Cathal Gurrin

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
With the appearance of many wearable devices like smartwatches, recording glasses (such as Google glass), smart phones, digital personal profiles have become more readily available nowadays. However, searching and navigating these multi-source, multi-modal, and often unstructured data to extract useful information is still a relatively challenging task. Therefore, the LSC2019 competition has been organized so that researchers can demonstrate novel search engines, as well as exchange ideas and collaborate on these types of problems. We present in this paper our approach for supporting interactive searches of lifelog data by employing a new retrieval system calledVieLens, which is an interactive retrieval system enhanced by natural language processing techniques to extend and improve search results mainly in the context of a user's activities in their daily life.
Conference Name: 
ACM Workshop on Lifelog Search Challenge
Proceedings: 
LSC '19: Proceedings of the ACM Workshop on Lifelog Search Challenge
Digital Object Identifer (DOI): 
10.1145/3326460.3329161
Publication Date: 
10/06/2019
Conference Location: 
Canada
Research Group: 
Institution: 
Dublin City University (DCU)
Open access repository: 
Yes
Publication document: