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A pattern-based evaluation of download and cache management algorithms for annotated interactive non-linear videos

机译：基于模式的带注释的交互式非线性视频下载和缓存管理算法的评估

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摘要

With modern technologies, it is possible to create annotated interactive non-linear videos (a form of hypervideo) for the Web. These videos have a non-linear structure of linked scenes to which additional information (other media like images, text, audio, or additional videos) can be added. A variety of user interactions-like in- and between-scene navigation or zooming into additional information-are possible in players for this type of video. Like linear video, quality of experience (QoE) with annotated hypervideo experiences is tied to the temporal consistency of the video stream at the client end-its flow. Despite its interactive complexity, users expect this type of video experience to flow as seamlessly as simple linear video. However, the added hypermedia elements bog playback engines down. Download and cache management systems address the flow issue, but their effectiveness is tied to numerous questions respecting user requirements, computational strategy, and evaluative metrics. In this work, we (a) define QoE metrics, (b) examine structural and behavioral patterns of interactive annotated non-linear video, (c) propose download and cache management algorithms and strategies, (d) describe the implementation of an evaluative simulation framework, and (e) present the algorithm test results.
机译：利用现代技术，可以为Web创建带注释的交互式非线性视频（超视频的一种形式）。这些视频具有链接场景的非线性结构，可以向其添加其他信息（其他媒体，如图像，文本，音频或其他视频）。对于这种类型的视频，播放器中可能会进行各种用户交互，如场景内和场景间导航或放大其他信息。像线性视频一样，带有注释超视频体验的体验质量（QoE）与客户端流中视频流的时间一致性相关。尽管其交互复杂性，用户仍希望这种视频体验能够像简单的线性视频一样无缝地流动。但是，添加的超媒体元素会使播放引擎停顿下来。下载和缓存管理系统解决了流程问题，但其有效性与众多有关用户需求，计算策略和评估指标的问题联系在一起。在这项工作中，我们（a）定义QoE指标，（b）检查交互式带注释的非线性视频的结构和行为模式，（c）提出下载和缓存管理算法和策略，（d）描述评估仿真的实现框架，以及（e）展示算法测试结果。

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