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 …

Comprehensive and fair performance evaluation of information retrieval systems represents
an essential task for the current information age. Whereas Cranfield-based evaluations with …

Multimedia retrieval and analysis are two important areas in" Big data" research. They have
in common that they work with feature vectors as proxies for the media objects themselves …

In this paper, we present the fourth release of VISIONE, a tool for fast and effective video
search on a large-scale dataset. It includes several search functionalities like text search …

Experimental evaluations dealing with visual known-item search tasks, where real users
look for previously observed and memorized scenes in a given video collection, represent a …

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

The multimodal nature of lifelog data collections poses unique challenges for multimedia
management and retrieval systems. The Lifelog Search Challenge (LSC) offers an annual …

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 …

This paper presents the most recent iteration of the vitrivr multimedia retrieval system for its
participation in the Video Browser Showdown (VBS) 2021. Building on existing functionality …

While the vitrivr stack has seen many changes in components over the years, its feature
extraction and query processing engine traces its history back almost a decade. Some …