Method of adapting video images to small screen sizes

Abstract

To improve a cropping system by obtaining coverage of a wide range of contents for smaller sized displays of handheld devices, a method starts from a metadata aggregation and corresponding video, e.g. in post-production, program exchange and archiving, wherein (a) video is passed to a video analysis to deliver video, e.g. by use of motion detection, morphology filters, edge detection, etc., (b) separated video and metadata are combined to extract important features in a context wherein important information from the metadata is categorized and used to initialize a dynamically fitted chain of feature extraction steps adapted to the delivered video content, (c) extracted important features are combined to define regions of interest (ROI) which are searched in consecutive video frames by object tracking, the object tracking identifies a new position and deformation of each initialized ROI in consecutive video frames and returns this information to the feature extraction thereby obtaining a permanent communication between the feature extraction and the object tracking, (d) one or plural ROIs are extracted and input video frame by video frame into a cropping step (e); based on weighting information a well composed image part is cropped by classifying the supplied ROIs by importance, and (f) the cropped image area(s) are scaled to the desired small screen size.