Research Article
Adaptively Optimized Error Protection for H.264 Scalable Video Coding
@INPROCEEDINGS{10.1007/978-3-642-35155-6_41, author={Bin Zhang and Mathias Wien}, title={Adaptively Optimized Error Protection for H.264 Scalable Video Coding}, proceedings={Impact of Scalable Video Coding on Multimedia Provisioning}, proceedings_a={SVCVISION}, year={2012}, month={12}, keywords={SVC UEP Video Streaming}, doi={10.1007/978-3-642-35155-6_41} }- Bin Zhang
Mathias Wien
Year: 2012
Adaptively Optimized Error Protection for H.264 Scalable Video Coding
SVCVISION
Springer
DOI: 10.1007/978-3-642-35155-6_41
Abstract
We focus on the problem of providing robust video streaming under varying channel conditions in error-prone networks. We propose to apply unequal error protection based on priority encoding transmission scheme and Reed-Solomon codes to H.264/AVC scalable video (SVC) bit streams. We developed a fast algorithm to optimize the allocation of channel bit rate to different network abstraction layer (NAL) units on the GOP basis. To achieve this, we determined the real utility of each NAL unit in the SVC bit stream. Our simulations demonstrated the good performance of our algorithm. Good video quality can be guaranteed at the receiver side over a large range of packet loss rates by applying our algorithm to SVC bit stream. The results achieved with our fast algorithm are very close to the results obtained from time-consuming extensive search algorithm.
