Background Over the past decade, the wide availability and small size of different types of
sensors, together with the decrease in pricing, have allowed the acquisition of a substantial …

This paper presents findings of the eleventh Video Browser Showdown competition, where
sixteen teams competed in known-item and ad-hoc search tasks. Many of the teams utilized …

Building an interactive retrieval system for lifelogging contains many challenges due to
massive multi-modal personal data besides the requirement of accuracy and rapid response …

The Lifelog Search Challenge (LSC) is an annual benchmarking competition for interactive
multimedia retrieval systems, where participating systems compete in finding events based …

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 …

Since its first iteration in 2018, the Lifelog Search Challenge (LSC) continues to rise in
popularity as an interactive lifelog data retrieval competition, co-located at the ACM …

The Lifelog Search Challenge (LSC), is an annual comparative bench-marking activity for
comparing approaches to interactive retrieval from multi-modal lifelogs. Being an interactive …

The variety and amount of data being collected in our everyday life poses unique challenges
for multimedia retrieval. In the Lifelog Search Challenge (LSC), multimedia retrieval systems …

Interactive learning has been suggested as a key method for addressing analytic multimedia
tasks arising in several domains. Until recently, however, methods to maintain interactive …

SOMHunter represents a modern light-weight framework for known-item search in datasets
of visual data like images or videos. The framework combines an effective W2VV++ text-to …