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.