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Title: Supporting Arbitrary Zoom in Zoomable Video
Authors: PANG CONG
Keywords: zoomable video, arbitrary scaling, optimization, video streaming, ROI
Issue Date: 23-Aug-2013
Citation: PANG CONG (2013-08-23). Supporting Arbitrary Zoom in Zoomable Video. ScholarBank@NUS Repository.
Abstract: Zooming into a live video stream on small screen devices, such as mobile phones, provides a personalized experience in which users can watch interesting regions within the video at higher resolution. A common method to implement zoom operation on live video streams is bitstream switching, where the captured video stream is re-encoded into multiple streams with diffe rent resolutions. Zooming into a speci fic region therefore is equivalent to cropping the region from a higher resolution version of the video. This thesis considers the following problem: which resolution levels should we re-encode the captured video in, given a set of zoom levels that the users are requesting for. The set of resolution levels depends on the amount of processing power available (to re-encode), the amount of bandwidth available, and the quality of the video region displayed to the user. We proposed two strategies, one optimizes for quality and one trades off between quality and bandwidth. Both use the processing power as the constraints. We compare our strategies to a naive scheme that statically determine the resolution levels without considering the user requests, and showed that our strategies leads to lower bandwidth and better video quality.
Appears in Collections:Master's Theses (Open)

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