A method of adapting video images to small screen sizes

Abstract

In order to improve a cropping system by obtaining the coverage of a wide range of contents for smaller sized displays of handheld devices, the invention proposes a method starting from a metadata aggregation and the corresponding video, e.g. in post-production, programme exchange and archiving, wherein (a) the video is passed through a video analysis to deliver video, e.g. by use of motion detection, morphology filters, edge detection, etc., (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, (c) extracted important features are combined to defione regions of interest (ROI) 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, (d) one or several ROIs are extracted and inputted video frame by video frame into a cropping step (e); based on weighting information 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.

Description

technical field [0001] The invention involved in this application is a method for adapting a video image to a small screen size, especially to a small screen size of a portable handheld terminal. Background technique [0002] Mobile TV (Mobile Television) is a growing and clearly promising market. It allows reception of television signals on small portable devices such as mobile phones, smartphones or PDAs (Personal Digital Assistants). The displays on the screens of these small portable devices do not provide detailed images such as are known from household stationary televisions (currently SDTV, Standard Definition Television). Despite such important differences in viewing conditions, essentially the same content is displayed on the screens of mobile and fixed television systems. However, producing a separate program for mobile TV would result in a huge overhead in human resources, and an increase in costs that broadcasters could barely support. [0003] To overcome thi...

AI Technical Summary

Problems solved by technology

[0004] However, such known clipping systems are insufficient to handle a wider range of content due to their lack of semantic knowledge and general methods of defining

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