Abstract
In conventional multi-view video systems using progressive download, each user downloads only a desired viewpoint for traffic reduction; however, playback stalls occur after every view switching. The playback stalls induce low user satisfaction for such multi-view applications. A progressive download-based multi-view video scheme assuming successive view switching has been proposed to reduce video traffic and prevent playback stalls. However, when the user switches to a viewpoint other than adjacent viewpoints, this still causes playback stalls when watching the desired viewpoint. In particular, when a user randomly switches an observed viewpoint to find the preferred viewpoint, i.e., zapping, it needs to send videos of all viewpoints to accept zapping. This also causes playback stalls owing to sharp traffic growth. In this paper, we propose a novel progressive download-based multi-view video delivery scheme to decrease the number of playback stalls even when the user switches to an observed viewpoint other than adjacent viewpoints, including zapping. The main idea of the proposed scheme is to execute segment download scheduling by taking into account the view switching probability and viewpoint popularity of past users. Specifically, a user node foresees a user's view switching behavior in future video frames based on those information and schedules a download order of priority segments, which will be highly likely to be switched by the user, for smooth view switching. Evaluations using Joint Multi-view Video Coding (JMVC) encoder and multiview video sequences show that our scheme decreases the number of playback stalls.
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