This paper presents a fully automatic algorithm for selecting the most appropriate areas of every video frame to show on heterogeneous display devices. The algorithm is used to analyze cinematic features in video and identify important parts of each frame. The proposed method is a client-server model. An importance map of video is created on the server and transmitted along with the video stream. The client uses this map to determine the cropping area of video frames to fit its display screen. An experimental comparison involving users' satisfaction of 160 participants who compared the results of our algorithm with others, such as letterbox, and commercially cropped editions of well-known motion pictures was performed. The results show that the audience preferred the video processed by our algorithm as the algorithm requires little additional preprocessing and little extra information embedded in the video stream. The results suggest that this algorithm could improve the video viewing experience for mobile users.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.