Content-based video retrieval and indexing have been associated with intelligent methods
in many applications such as education, medicine and agriculture. However, an extensive …

Abstract The Video Browser Showdown addresses difficult video search challenges through
an annual interactive evaluation campaign attracting research teams focusing on interactive …

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 …

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 work we analyze content statistics of the V3C1 dataset, which is the first partition of
theVimeo Creative Commons Collection (V3C). The dataset has been designed to represent …

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 …

Current video database management systems (VDBMSs) fail to support the growing number
of video datasets in diverse domains because these systems assume clean data and rely on …

In multimedia search, appropriate user interfaces (UIs) are essential to enable effective
specification of the user's information needs and the user-friendly presentation of search …