TotemFinder: A Visual Analytics Approach for Image-based Key Players Identification

We present TotemFinder, an interactive visualization system for the analysis of the VAST 2020 Mini-Challenge 2 (MC2) dataset. The system consists of three interfaces: Interface #1 allows users to quickly verify the correctness of object predictions of a machine learning-based image classifier. Interface #2 uses a customized image explorer to support relabeling incorrect object predictions identified in Interface #1. Interface #3 employs several coordinated visualizations (such as a filterable ontology graph) to investigate the distilled object data to identify person groups based on shared objects in their image collections.