With the widespread use of smartphones as recording devices and the massive growth in
bandwidth, the number and volume of video collections has increased significantly in the …

Despite the fact that automatic content analysis has made remarkable progress over the last
decade-mainly due to significant advances in machine learning-interactive video retrieval is …

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

This work summarizes the findings of the 7th iteration of the Video Browser Showdown
(VBS) competition organized as a workshop at the 24th International Conference on …

Searching for one particular scene in a large video collection (known-item search)
represents a challenging task for video retrieval systems. According to the recent results …

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 steady growth of multimedia collections-both in terms of size and heterogeneity-
necessitates systems that are able to conjointly deal with several types of media as well as …

This paper presents the most recent additions to the vitrivr retrieval stack, which will be put to
the test in the context of the 2019 Video Browser Showdown (VBS). The vitrivr stack has …

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 …

Shot boundary detection (SBD) is an important first step in many video processing
applications. This paper presents a simple modular convolutional neural network …