A Motion-Based Selective Error Protection Method for Scalable Video Over Error-Prone Channel

Yu Wang, Lap-Pui Chau, Kim-Hui Yap

Abstract: Video transmission over unreliable networks introduces new challenges in video coding. Due to the predictive coding techniques, the effect of channel errors on the decoded video can be extremely severe when the compressed video is transmitted over error-prone channel. In this paper, the problem of scalable video transmission over error-prone channel is addressed. It is proposed to selectively add forward error correction (FEC) codes to partial information of the compressed bit-stream based on the motion activity of the input video. In addition, unequal error protection (UEP) is applied on the selected data of different temporal layers in a group of pictures (GOP), where the channel rates are optimally allocated. It is shown from the experimental results that our proposed method has a good performance and the improvement is up to 1.2 dB.