A method of adapting video images to small screen sizes, in particular to small screen sizes of portable handheld terminals, said method starting from a metadata aggregation and the corresponding video, wherein (a) the video is passed through to a video analysis to deliver video while metadata is parsed, (b) the separated video and metadata are combined to extract important features in a context wherein important information from the metadata is categorised and is used to initialise a dynamically fitted chain of feature extraction steps adapted to the delivered video content, wherein said metadata are distinguished at least in descriptive data and technical data, wherein said descriptive data are a content related description which can be either static or dynamic data, said dynamic data being data changing in time and synchronised to the video content, and said static data being a description which is valid for the entire video, said static descriptive data including type of genre, and said technical data being related to the format of the embedded video which can also be static or dynamic, wherein a combination of feature extraction methods is selected according to said type of genre, (c) extracted important features are combined to define regions of interest which are searched in consecutive video frames by object tracking, said object tracking identifies the new position and deformation of each initialised ROI in consecutive video frames and returns this information to the feature extraction thereby obtaining a permanent communication between said feature extraction and said object tracking, wherein said features are extracted based on said selected feature extraction methods, (d) one or several ROIs are extracted and inputted video frame by video frame into a cropping step (e) based on weighting information of each feature which depends on the context of the present video content, a well composed image part is cropped by classifying said supplied ROIs by importance, and (f) said cropped image area(s) are scaled to the desired small screen size. (a) the video is passed through to a video analysis to deliver video while metadata is parsed, (b) the separated video and metadata are combined to extract important features in a context wherein important information from the metadata is categorised and is used to initialise a dynamically fitted chain of feature extraction steps adapted to the delivered video content, wherein said metadata are distinguished at least in descriptive data and technical data, wherein said descriptive data are a content related description which can be either static or dynamic data, said dynamic data being data changing in time and synchronised to the video content, and said static data being a description which is valid for the entire video, said static descriptive data including type of genre, and said technical data being related to the format of the embedded video which can also be static or dynamic, wherein a combination of feature extraction methods is selected according to said type of genre, (c) extracted important features are combined to define regions of interest which are searched in consecutive video frames by object tracking, said object tracking identifies the new position and deformation of each initialised ROI in consecutive video frames and returns this information to the feature extraction thereby obtaining a permanent communication between said feature extraction and said object tracking, wherein said features are extracted based on said selected feature extraction methods, (d) one or several ROIs are extracted and inputted video frame by video frame into a cropping step (e) based on weighting information of each feature which depends on the context of the present video content, a well composed image part is cropped by classifying said supplied ROIs by importance, and (f) said cropped image area(s) are scaled to the desired small screen size.