video annotation, multimedia processing, digital medical records, podcasting In this paper, we demonstrate how rich media annotation can enable two new applications for video podcasting and digital medical records. At WIAMIS 2004, we introduced an innovative video annotation technology called Active Shadows, that captures a virtual presence interacting with a displayed image and overlays on top...

The Geneva Affective Picture Database WordNet Annotation Tool (GWAT) is a user-friendly web application for manual annotation of pictures in Geneva Affective Picture Database (GAPED) with WordNet. The annotation tool has an intuitive interface which can be efficiently used with very little technical training. A single picture may be labeled with many synsets allowing experts to describe semanti...

Existing video search engines have not taken the advantages of video content analysis and semantic understanding. Video search in academia uses semantic annotation to approach content-based indexing. We argue this is a promising direction to enable real content-based video search. However, due to the complexity of both video data and semantic concepts, existing techniques on automatic video ann...

Classifying video elements according to some predefined ontology of the video content domain is a typical way to perform video annotation. Ontologies are defined by establishing relationships between linguistic terms that specify domain concepts at different abstraction levels. However, although linguistic terms are appropriate to distinguish event and object categories, they are inadequate whe...

Video analysis has been moving towards more detailed interpretation (e.g., segmentation) with encouraging progress. These tasks, however, increasingly rely on densely annotated training data both in space and time. Since such annotation is labor-intensive, few video region boundaries exist. This work aims to resolve this dilemma by learning automatically generate for all frames of a from sparse...