3D naked-eye is constructed from multi-stream as a typical representation of stereoscopic video. Its enormous data volume and stringent low-delay transport requirements pose significant challenges for high-quality real-time transport. Through analysis and experimental verification that current streaming media transport frameworks using the server–client or peer-to-peer scheme face difficulties when transmitting 3D naked-eye in a one-to-one format. Besides, the existing bandwidth estimation algorithms cannot achieve the expected performance when dealing with delay-sensitive traffic. This results in low bandwidth utilization and slow bandwidth estimation, rendering it unfeasible to deliver multi-stream on time. We propose an effective transport framework with different modules for real-time multi-stream and introduce an Agent-to-Agent transport scheme that provides many-to-one connection as the main implementation way of 3D naked-eye transport framework. Additionally, we propose a direct bandwidth estimation algorithm to quickly match network bandwidth for low-delay transport. The Agent terminal centrally processes consolidates transports, and provides macro-level management of multiple video streams. The algorithm directly detects the available bandwidth using packet interval and packet rate models. Finally, using rate decision algorithm arbitrates the results to directly measure the maximum available bandwidth of the link. The Agent-to-Agent achieves 99% bandwidth utilization, addressing the limitations of existing streaming schemes in handling concurrent data streams. Our algorithm provides precise bandwidth estimates with minimal time overhead, meeting the requirements of a delay-sensitive 3D naked-eye system across diverse environments.

中文翻译：

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3D裸眼系统传输方案设计


3D裸眼是由多流构建而成的，作为立体视频的典型表示。其庞大的数据量和严格的低时延传输要求对高质量的实时传输提出了严峻的挑战。通过分析和实验验证，当前使用服务器-客户端或点对点方案的流媒体传输框架在以一对一格式传输3D裸眼时面临困难。此外，现有的带宽估计算法在处理延迟敏感流量时无法达到预期的性能。这导致带宽利用率低和带宽估计慢，导致无法按时交付多流。我们提出了一种有效的具有不同模块的实时多流传输框架，并引入了一种提供多对一连接的Agent-to-Agent传输方案作为3D裸眼传输框架的主要实现方式。此外，我们提出了一种直接带宽估计算法，可以快速匹配网络带宽以实现低延迟传输。 Agent终端集中处理整合传输，并提供多视频流的宏观管理。该算法使用数据包间隔和数据包速率模型直接检测可用带宽。最后利用速率判决算法对结果进行仲裁，直接测量链路的最大可用带宽。 Agent-to-Agent 实现了 99% 的带宽利用率，解决了现有流方案在处理并发数据流方面的局限性。我们的算法以最小的时间开销提供精确的带宽估计，满足跨不同环境的延迟敏感 3D 裸眼系统的要求。