@inproceedings{alam_memento_lsc2021,
author = {Alam, Naushad and Graham, Yvette and Gurrin, Cathal},
title = {Memento: A Prototype Lifelog Search Engine for LSC'21},
year = {2021},
isbn = {9781450385336},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3463948.3469069},
doi = {10.1145/3463948.3469069},
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.},
booktitle = {Proceedings of the 4th Annual on Lifelog Search Challenge},
pages = {53–58},
numpages = {6},
keywords = {information system, search interface, information retrieval, semantic image representation},
location = {Taipei, Taiwan},
series = {LSC '21}
}