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为解决现有多源流化方案存在的无法适应Internet网络异构性和动态性的问题,提出了一种新的多源流化方案。其中,传统的细粒度可扩展编码被改造成一种适合于多源流化的多子流传输模型。在此基础上,提出了基于优化峰值信噪比(PSNR)的多源流化码流分配算法。实验表明,较之平均分配码流,该算法能在相同条件下将视频的图像质量提高约1dB。整个多源流化方案对于异构而动态变化的In-ternet网络环境具有良好的适应能力,可用于在内容分发网络(CDN)中提供流媒体服务。
In order to solve the existing problems of heterogeneity and dynamic of the existing multi-source streaming schemes that can not adapt to the Internet, a new multi-source streaming scheme is proposed. Among them, the traditional fine-grained scalable coding has been transformed into a multi-source streaming suitable for multi-stream transmission model. On this basis, a multi-source streaming code allocation algorithm based on optimized peak signal-to-noise ratio (PSNR) is proposed. Experiments show that the proposed algorithm can improve the image quality of video by about 1dB under the same conditions compared with the average allocation of code streams. The entire multi-source streaming solution is well adapted to heterogeneous and dynamically changing In-ternet network environments and can be used to provide streaming services in content delivery networks (CDNs).