Joint Source and Channel Coding for MPEG-4 using Steganography of Channel Coding Information

Progress of technology in recent decades causes that video transmission via communication channels has met high demands. Therefore, many methods have been proposed to improve the quality of video under channel errors. The aim of this paper is to increase PSNR for video reconstructed by the receiver; this is achieved by increasing channel encoder rate but in constant transmission rate. In the proposed method the video frames’ parts containing more energy are coded by local channel coding inside source encoder. Then, the resulted data is embedded in low power frames’ parts. The proposed method is able to increase channel coding rates without increasing the amount of information for any frame. This method provides more robustness for video frames against channel errors. The proposed method is tested for different source coding rates and several SNRs for channel and the obtained results are compared with a new method.

[1]  David Salomon,et al.  Data Compression , 2000, Springer Berlin Heidelberg.

[2]  Robert W. Heath,et al.  Joint Source-Channel Distortion Modeling for MPEG-4 Video , 2006, IEEE Transactions on Image Processing.

[3]  Aggelos K. Katsaggelos,et al.  Joint source-channel coding for motion-compensated DCT-based SNR scalable video , 2002, IEEE Trans. Image Process..

[4]  Huifang Sun,et al.  Image and Video Compression for Multimedia Engineering: Fundamentals, Algorithms, and Standards , 1999 .

[5]  Maja Bystrom,et al.  Combined source-channel coding schemes for video transmission over an additive white Gaussian noise channel , 2000, IEEE Journal on Selected Areas in Communications.

[6]  A. Bruce Carlson,et al.  Communication systems: an introduction to signals and noise in electrical communication , 1975 .

[7]  Rui Zhang,et al.  Video coding with optimal inter/intra-mode switching for packet loss resilience , 2000, IEEE Journal on Selected Areas in Communications.

[8]  Andreas Westfeld,et al.  F5-A Steganographic Algorithm , 2001, Information Hiding.

[9]  P. Farrell,et al.  Essentials of Error-control Coding , 2006 .

[10]  Avideh Zakhor,et al.  Bit allocation for joint source/channel coding of scalable video , 2000, IEEE Trans. Image Process..

[11]  Eero P. Simoncelli,et al.  A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients , 2000, International Journal of Computer Vision.

[12]  Richard H. Sherman,et al.  Chaotic communications in the presence of noise , 1993, Optics & Photonics.

[13]  Iain E. G. Richardson,et al.  H.264 and MPEG-4 Video Compression: Video Coding for Next-Generation Multimedia , 2003 .

[14]  B. S. Manjunath,et al.  Robust image-adaptive data hiding using erasure and error correction , 2004, IEEE Transactions on Image Processing.

[15]  John G. Proakis,et al.  Digital Communications , 1983 .

[16]  D. Huffman A Method for the Construction of Minimum-Redundancy Codes , 1952 .

[17]  Niels Provos,et al.  Hide and Seek: An Introduction to Steganography , 2003, IEEE Secur. Priv..

[18]  C. E. SHANNON,et al.  A mathematical theory of communication , 1948, MOCO.