Shrinkability Maps for Content-Aware Video Resizing

A novel method is given for content-aware video resizing, i.e. targeting video to a new resolution (which may involve aspect ratio change) from the original. We precompute a per-pixel cumulative shrinkability map which takes into account both the importance of each pixel and the need for continuity in the resized result. (If both x and y resizing are required, two separate shrinkability maps are used, otherwise one suffices). A random walk model is used for efficient offline computation of the shrinkability maps. The latter are stored with the video to create a multi-sized video, which permits arbitrarysized new versions of the video to be later very efficiently created in real-time, e.g. by a video-on-demand server supplying video streams to multiple devices with different resolutions. These shrinkability maps are highly compressible, so the resulting multi-sized videos are typically less than three times the size of the original compressed video. A scaling function operates on the m...

• Type: Journal
• Year: 2008
• Where: CGF
• Authors: Yi-Fei Zhang, Shi-Min Hu, Ralph R. Martin
• Keywords: CGF 2008, Multi-sized Video, Shrinkability Maps, Video