The significant increase of the transmission of multimedia content over Internet are demanded new delivery strategies to assure a good quality of experience of the users. Transmission of video over packet networks is not an easy task due to multiple fluctuations of the network conditions. One possibility to improve the quality of some video streaming services is the combinate use of the scalable video coding and cross layer mechanisms that allow applications to adapt its traffic stream to the resources network that are available. In this paper, it is presented a performance evaluation of the three main scalability techniques: CGS (Coarse-Grained Scalability), FGS (Fine Grain scalability) and MGS (Medium Grain Scalability). In particular, we focus on determining what method is more appropriated for video transmission taking into account some video quality metrics like PSNR (Peak Signal-to-Noise Ratio) and decoded frame rate. The results reveal that the rate-adaptive strategy and the MGS technique help avoid or reduce the congestion in networks obtaining a better quality in the received videos.

中文翻译：

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评估视频传输的质量可伸缩性技术

通过因特网的多媒体内容的传输的显着增加，需要新的交付策略以确保用户的良好体验质量。由于网络条件的多次波动，通过分组网络传输视频并非易事。改善某些视频流服务质量的一种可能性是可伸缩视频编码和跨层机制的组合使用，这些机制允许应用程序将其业务流适配到可用的资源网络。本文介绍了三种主要可伸缩性技术的性能评估：CGS（粗粒度可伸缩性），FGS（精细粒度可伸缩性）和MGS（中等粒度可伸缩性）。特别是，考虑到一些视频质量指标（例如PSNR（峰值信噪比）和解码后的帧速率），我们专注于确定哪种方法更适合视频传输。结果表明，速率自适应策略和MGS技术有助于避免或减少网络拥塞，从而在接收到的视频中获得更好的质量。