An Extensible Tool for the Annotation of Videos Using Segmentation and Tracking

摘要

Due to massive amount of data, the description of audiovisual media by metadata nowadays can benefit by the support of (semi-)automatic methods during the annotation process. The presented tool enables the user to mark, interactively segment and track preselected objects. An integrated shot detection splits the video into disjoint parts, for instance to circumvent the semi-automated tracking of objects across shot boundaries. Arbitrary application dependent custom image processing chains can be created in conjunction with the research framework AMOPA. Created data is exported in compliance to MPEG7-DAVP.