Quality-oriented adaptation scheme for video-on-demand

A new quality-oriented adaptation scheme (QOAS) is proposed in which the adaptation of streamed video is based on end-user perceived quality information. QOAS has been tested in a simulated local multi-service IP network with various types, sizes and shapes of background traffic. Test results show good end-user perceived quality and high link utilisation with very low loss rates. In addition, the performance of QOAS is very close to that of an ideal adaptive system in all traffic conditions.