ck link. Congestion-distortion optimized streaming, CoDiO, yields the same PSNR performance as RaDiO, Rate (kbps) but reduces the congestion, measured in terms of end- to-end delay. Figure 3.5-10 Rate-distortion performance of RaDiO and CoDiO Readers with further interest should first study Chou for video streaming over a bottleneck link. From [16]. and Miao's seminal paper [6] in depth. The paper is based on a longer technical report [5], SO readers might want to consult this document as well. Interestingly, 3.5.7 Summary and further reading numerous papers appeared during the review period of [6], inspired by this work, many of which are now ref- In this chapter we have discussed network adaptive erenced in [6] itself. Various extensions and the most media transport through the RaDiO framework for rate comprehensive experiments applying RaDiO to stream- distortion optimized media streaming. After reviewing ing of H.264/AVC encoded video can be found in the basic framework as initially presented by Chou and Chakareski's dissertation [2]. The best reference for Miao, we considered extensions and enhancements that CoDiO and low-complexity randomized scheduling al- have been proposed. The framework can be imple- gorithms SO far is Setton's dissertation [15]. There are mented in a media server or, alternatively, at the client. numerous research groups active in the area, and their Rich acknowledgments are an easy way to improve publications might be of interest to those following the resilience against losses in the feedback channel. For evolving state-of-the-art in network adaptive media video streaming, it is useful to incorporate multiple transport. References [1] The Network Simulator-ns-2.www - MSR-TR-2001-35, Microsoft internet packets. In IEEE Conference isi.edu/nsnam/ns/. Research, Redmond, WA, 2001. on Multimedia and Expo, Taipei, [2] J. Chakareski. Rate-Distortion [6] A. Chou and Z. Miao. Rate- Taiwan, June 2004. Optimized Packet Scheduling for distortion optimized streaming of [11] M. Kalman and B. Girod.