Shrinkability Maps for Content-Aware Video Resizing

dc.contributor.authorZhang, Yi-Feien_US
dc.contributor.authorHu, Shi-Minen_US
dc.contributor.authorMartin, Ralph R.en_US
dc.date.accessioned2015-02-21T17:59:50Z
dc.date.available2015-02-21T17:59:50Z
dc.date.issued2008en_US
dc.description.abstractA 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 arbitrary-sized 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 multi-sized video, to give the new pixel locations in the result, giving a high-quality content-aware resized video.Despite the great efficiency and low storage requirements for our method, we produce results of comparable quality to state-of-the-art methods for content-aware image and video resizing.en_US
dc.description.number7en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume27en_US
dc.identifier.doi10.1111/j.1467-8659.2008.01325.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages1797-1804en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2008.01325.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltden_US
dc.titleShrinkability Maps for Content-Aware Video Resizingen_US
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