Abstract
In recent years, with the development of the internet, video streaming across packet-lossy networks has received much attention. But the problem of packet loss is still difficult to deal with. Since video coding uses motion compensation prediction, there will be error propagation problems in the decoding if some packets of previous frames are lost. To solve the problem of the error propagation, the well-known approach is leaky prediction. However, how to find an adaptive optimal leaky factor in the leaky prediction remains a challenging task. For such a task, we propose a new solution for the leaky factor of leaky prediction under Base MDSQ. Generally speaking, our optimal leaky factor is still depending on the packet loss rate. But the natural property of videos such as the complexity or amount of movement also affects the decision of the leaky factor. Moreover, it is necessary that the whole framework of coder must be considered because some properties of coder such as multiple description coding or Error Concealment technique can help for the reconstruction of lost frames. Therefore, we propose a new method about how to find the optimal leaky factors depending on the loss rate, the natural property of videos and the whole framework of the coder. From the simulation results, we can see that the proposed algorithm provides better performance than other leaky factors. And our method can have fine performance for the videos with different properties.