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.
翻译:由于网络条件的多种波动,通过互联网传输多媒体内容的大量增加需要新的交付战略,以确保用户的良好经验。由于网络条件的多重波动,通过封装传送视频网络并非易事。改进某些视频流服务质量的一个可能办法是,对可缩放视频编码和跨层机制进行组合使用,以便应用这些可缩放视频编码和跨层机制使其流量适应现有的资源网络。本文介绍了对三种主要可缩放技术的绩效评估:CGS(粗缩放可缩放性)、FGS(伸缩)、MGS(微缩性)和MGS(微缩性可缩放性),特别是,我们侧重于确定在视频传输方面更多地采用何种方法,同时考虑到PSNR(PAak信号至噪音比率)和解码框架速率等一些视频质量指标。结果显示,调适战略和MGS技术有助于避免或减少网络的拥堵,使收到的视频质量更高。