A large number of previously recorded videos cannot be directly visualized on mobile devices like PDAs or mobile phones due to an inappropriate screen resolution of their displays. Transcoding can be used to change the resolution, however, the usual transcoding algorithms have problems preserving the semantic content. For instance, superimposed text is unreadable if the character size drops below a certain value. In this paper, we present a novel adaptation algorithm to scale and crop videos while preserving their semantic content. Semantic features in a shot are combined to select a suitable region to be presented in the adapted video. Categories and Subject Descriptors I.4.3 [Image processing and computer vision]: Enhancement; I.2.10 [Artificial Intelligence]: Vision and Scene Understanding General Terms Algorithms Keywords video adaptation, content repurposing, transcoding