Recently, HTTP streaming has become very popular for delivering videos over the Internet. For adaptivity, a provider should\ngenerate multiple versions of a video as well as the related metadata. Various adaptation methods have been proposed to support a\nstreaming client in coping with strong bandwidth variations. However, most of existing methods target at constant bitrate (CBR)\nvideos only. In this paper, we present a new method for quality adaptation in on-demand streaming of variable bitrate (VBR) videos.\nTo cope with strong variations of VBR bitrate, we use a local average bitrate as the representative bitrate of a version. A buffer-based\nalgorithm is then proposed to conservatively adapt video quality.Through experiments in the mobile streaming context, we show\nthat our method can provide quality stability as well as buffer stability even under very strong variations of bandwidth and video\nbitrates.
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