An Approach for Browsing Video Collections in Media Production

This paper describes a video browsing tool for media (post-) production, enabling users to efficiently find relevant media items for redundant and sparsely annotated content collections. Users can iteratively cluster the content set by different features, and restrict the content set by selecting a subset of clusters. In addition, similarity search by different features is supported. Desktop and Web-based variants of the user interface, including temporal preview functionality, are available.