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Memento: a prototype lifelog search engine for LSC’21

Alam, Naushad, Graham, Yvette and Gurrin, Cathal orcid logoORCID: 0000-0003-2903-3968 (2021) Memento: a prototype lifelog search engine for LSC’21. In: The fourth Lifelog Search Challenge (LSC 21), 19th Nov 2021, Taipei, Taiwan (Online). ISBN 978-1-4503-8533-6

Abstract
In this paper, we introduce a new lifelog retrieval system called Memento that leverages semantic representations of images and textual queries projected into a common latent space to facilitate effective retrieval. It bridges the semantic gap between complex visual scenes/events and user information needs expressed as textual and faceted queries. The system, developed for the 2021 Lifelog Search Challenge also has a minimalist user interface that includes primary search, temporal search, and visual data filtering components.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Uncontrolled Keywords:semantic image representation
Subjects:Computer Science > Information retrieval
Computer Science > Lifelog
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > INSIGHT Centre for Data Analytics
Published in: LSC '21: Proceedings of the 4th Annual on Lifelog Search Challenge. . Association for Computing Machinery (ACM). ISBN 978-1-4503-8533-6
Publisher:Association for Computing Machinery (ACM)
Official URL:https://doi.org/10.1145/3463948.3469069
Copyright Information:©2021 The Authors. Open access (CC-BY-4.0)
Funders:y Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289_P2, co-funded by the European Regional Development Fund.
ID Code:26463
Deposited On:15 Nov 2021 12:45 by Naushad Alam . Last Modified 15 Dec 2021 15:32
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