Speaker: Nicolas Ruth, Manuel Burghardt and Bernhard Liebl
Affiliation: Computational Humanities Group, Institute for Computer Science, Leipzig University, Germany
Title: From Clusters to Graphs – Toward a Scalable Viewing of News Videos
Abstract: In this paper, we present a novel approach that combines density-based clustering and graph modeling to create a scalable viewing application for the exploration of similarity patterns in news videos. Unlike most existing video analysis tools that focus on individual videos, our approach allows for an overview of a larger collection of videos, which can be further examined based on their connections or communities. By utilizing scalable reading, specific subgraphs can be selected from the overview and their respective clusters can be explored in more detail on the video frame level.
