In recent years, the demand for video transmission over wireless communication networks is growing very fast. The H.264 video compression standard which offers high quality at low bit rates, is a suitable codec for applications that require efficient video transmission over wireless networks. While the compressed videos are transmitted through error-prone networks, error robustness becomes an important issue. In this paper, a joint source-channel Lagrange optimization method in which the distortion of the decoder is estimated without using feedback which can be used for both multicast and point-to-point applications is proposed. The experimental results show that the new algorithm has a good performance in video transmission over error-prone channels by concealing the lost packets at the decoder. © 2008 Springer-Verlag.
CITATION STYLE
Rasouli, R., Rabiee, H. R., & Ghanbari, M. (2008). A joint source-channel rate-distortion optimization algorithm for H.264 codec in wireless networks. In Communications in Computer and Information Science (Vol. 6 CCIS, pp. 946–950). https://doi.org/10.1007/978-3-540-89985-3_140
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