RealSync:用于实时通信应用的同步多模态媒体流分析框架

Youjun Luo, Andy Sun, Feng Wang, R. Shea, Jiangchuan Liu
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引用次数: 0

摘要

虽然计算算法和硬件的进步使视频中的实时流分析成为可能,但与视频结合在一起的信息丰富的音频仍然经常被丢弃和浪费。同时处理音频和视频流并不简单,因为同步多个数据流比只处理一个数据流要困难得多。在本文中,我们设计并实现了一个轻量级的多模态流处理系统,该系统在处理过程中保持两个流同步,并在一个典型的用例亵渎过滤器中进行了测试。虽然减慢某些处理器的速度以保持线程同步是不可避免的,但通过仔细设置黄油,总体延迟不会受到影响(仍然是400-500ms)。除了实现实时处理之外,我们还找到了导致突发音频延迟的核心问题,并给出了进一步改进延迟的方向。
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RealSync: A Synchronous Multimodality Media Stream Analytic Framework for Real-Time Communications Applications
While advancements in computing algorithms and hardware have enabled real-time stream analytics in videos, the information-rich audio bonded with video is still usually dropped and wasted. Processing both audio and video stream is not trivial as synchronizing multiple data streams creates much more difficulties than processing only one stream. In this paper, we designed and implemented a lightweight multimodal stream processing system that keeps both streams synchronized in processing and tested in a typical use case profanity filter. While it is inevitable to slow down certain processors to keep the steams synchronized, by careful butter setting, the overall latency is not affected (still 400-500ms). Besides achieving real-time processing, we located a core problem causing bursty audio latency and gave directions for further latency improvements.
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