A Web-Based Tool for the Visual Analysis of Media Annotations

Multimedia annotation algorithms infer localized metadata in multimedia content, e.g. Speakers' voices or subjects' faces. There is a growing need of experts from this domain to perform advanced analyses, that go beyond medium-scale quality metrics. This paper describes a novel visual tool, that addresses the concerns of multimedia experts using interactive visualization principles. Multiple coordinated views, augmented by interactive inspection facilities, ease both the navigation in media annotations and the visual detection of relevant information. The usefulness of our approach is supported by experimental scenarios using a real multimedia corpus.