Scalable video coding and transport over broadband wireless networks
Proceedings of the IEEE
Abstract| With the emergence of broadband wireless networks and increasing demand of multimedia information on the Internet, wireless multimedia services are foreseen to become widely deployed in the next decade. Real-time video transmission typically has requirements on quality of service QoS. However, wireless channels are unreliable and the channel bandwidth varies with time, which may cause severe degradation to video quality. In addition, for video multicast, the heterogeneity of receivers
... eneity of receivers makes it di cult to achieve e ciency and exibility. To address these issues, three techniques, namely, scalable video coding, network-aware adaptation of end systems, adaptive QoS support from networks, have been developed. This paper uni es the three techniques and presents an adaptive framework, which speci cally addresses video transport over wireless networks. The adaptive framework consists of three basic components: 1 scalable video representations, 2 network-aware end systems, and 3 adaptive services. Under this framework, as wireless channel conditions change, mobile terminals and network elements can scale the video streams and transport the scaled video streams to receivers with a smooth change of perceptual quality. The key advantages of the adaptive framework are: 1 perceptual quality is changed gracefully during periods of QoS uctuations and hando s; and 2 the resources are shared in a fair manner.