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Efficient Semantic Video Annotation by Object and Shot Re-Detection

Authors Peter Schallauer, Ober Sandra, Helmut Neuschmied
Appeared in

3rd International Conference on Semantic and Digital Media Technologies, Koblenz, Germany

Date December 2008
Abstract

Manual video annotation on shot and on object level is a very time consuming and therefore cost intensive task. Automatic object and shot re-detection is one step forward in order to provide a cost efficient solution for temporally detailed video annotation. In this demonstration a tool will be shown which integrates novel video visualisation, navigation and interactive object re-detection techniques. Automatically re-detected objects and shots can be annotated by reusing operator annotations in a semi-automatic way. Object and shot re-detection capabilities are demonstrated on a variety of content, e.g. anchor person redetection in news content and setting and re-take detection in rushes content.

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