Well-balanced usability & annotation complexity in interactive video semantization
Abstract
In the recent years more and more people have begun to edit video files, as technologies are becoming more sophisticated and affordable. Web 2.0 has raised tagging functionality to a growing number of websites such as Flickr and YouTube. However, these services only provide basic video annotation support. In comparison to those well-known services there are many research efforts towards video semantization tools. These tools provide highly precise annotation functionality based on metadata standards such as MPEG-7, but tend to exhibit very complex user interfaces. In this paper we present the design, implementation and evaluation of SeViAnno, an MPEG-7 based interactive semantic video annotation Web platform with the main objective to find a well-balanced trade-off between a simple user interface and video semantization complexity.
