论文标题
部分可观测时空混沌系统的无模型预测
CWcollab: A Context-Aware Web-Based Collaborative Multimedia System
论文作者
论文摘要
在Covid-19大流行时期，用于会议和演示的远程协作工具正在广受欢迎。大多数先前的工作都有问题，例如a）对媒体类型的支持有限，b）缺乏互动性，例如，有效的重播机制，c）用于屏幕共享工具的大型带宽消耗。在本文中，我们提出了一个通用多媒体协作平台 - 透明球仪。它通过使用简单消息来代表具有对象优先同步方法的媒体控件来支持一般多媒体的协作。因此，CWCollab不仅可以支持精细的准确协作，还可以支持诸如重播这些协作活动之类的丰富功能。评估表明，与数百个兆字节的Google环聊相比，数百万千元人足以将活动存储在协作课程中以进行准确的重播。
Remote collaboration tools for conferencing and presentation are gaining significant popularity during the COVID-19 pandemic period. Most prior work has issues, such as a) limited support for media types, b) lack of interactivity, for example, an efficient replay mechanism, c) large bandwidth consumption for screen sharing tools. In this paper, we propose a general-purpose multimedia collaboration platform-CWcollab. It supports collaboration on general multimedia by using simple messages to represent media controls with an object-prioritized synchronization approach. Thus, CWcollab can not only support fine-grained accurate collaboration, but also rich functionalities such as replay of these collaboration events. The evaluation shows hundreds of kilobytes can be enough to store the events in a collaboration session for accurate replays, compared with hundreds of megabytes of Google Hangouts.
