Memento: a prototype search engine for LSC 2021-Reference-Cited by-同舟云学术

Memento: a prototype search engine for LSC 2021

Published:2023-04-01 Issue:24 Volume:82 Page:37807-37828
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Alam Naushad^ORCID,Graham Yvette

Abstract

AbstractIn this extended paper, we describe our lifelog retrieval system called Memento which participated in the 2021 Lifelog Search Challenge in detail. Memento leverages semantic representations of images and textual queries projected into a common latent space to facilitate effective retrieval, aiming to bridge the existing semantic gap between complex visual scenes/events and user information needs expressed as textual and faceted queries. Our system also has a minimalist user interface which includes functionalities such as visual data filtering and temporal search. Finally, we include a comparative analysis of Memento’s performance at LSC 2021 and suggest improvements for future iterations of the system.

Funder

Insight SFI Research Centre for Data Analytics

Dublin City University

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-15067-9.pdf

Reference55 articles.

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