Advanced Technique for Improved Mobile Multimedia Communication Services
DOI:
https://doi.org/10.14738/aivp.42.2009Keywords:
Audio, communications, data, multimedia, network, quality enhancement, speech, videoAbstract
The proliferation of smartphones is associated with the development of multimedia applications. Mobile multimedia applications involve audio, data, speech, image, video processing and distribution of over mobile platform. However, compressed media packets are vulnerable to channel errors, thus making it difficult to sustain good perceived video quality performance within limited resources. In this research work, the weight length and impact of different video packets are analyzed. Based on the analysis an advanced technique to enhance mobile multimedia communication services is proposed. The technique involves cross-layer optimization framework, utilizing Network Abstraction Layer Units Length and flexibility of IP-based mobile network in exchanging network information for error protection of sensitive media packets. The simulation results carried out with compatible multiple media streams of different priority levels and Network Abstraction Layer Units Length show overall significant improvement in the received media services.
References
(1) S. Kumar, L. Xu, M.K. Mandal and S. Panchanathan, “Error Resiliency Schemes in H.264/AVC Standard” Journal of Visual and Image Representation, Elsevier, August 2005.
(2) A. J. Goldsmith and S. G. Chua, "Adaptive coded modulation for fading channels," Communications, IEEE Transactions on, vol. 46, pp. 595-602, 1998.
(3) W. T. Webb, "The modulation scheme for future mobile radio communications," Electronics and Communication Engineering Journal, pp. 167-176, August 1992.
(4) S. Sampei, "Rayleigh Fading Compensation for QAM in Land Mobile Radio Communications," IEEE Transactions on Veh. Tech., vol. 42, pp. 137-147, 1993.
(5) T. Wiegand, G. J. Sullivan, G. Bjontegaard, and A. Luthra, "Overview of the H.264/AVC video coding standard," IEEE Transactions on Circuits and Systems for Video Technology, vol. 13, pp. 560-576, 2003.
(6) A.H.Sadka, "Compressed Video Communications," John Wiley & Sons, Limited, England, 2002.
(7) I. E. G. Richardson, "H.264 and MPEG-4 Video Compression," John Wiley and Sons Limited. West Sussex, England, 2003 2003.
(8) G. Nur, S. Dogan, H. Kodikara Arachchi and A.M. Kondoz, “Impact of Depth Map Spatial Resolution on 3D Video Quality and Depth Perception”, Processings of the 4th IEEE 3DTV Conference, Tampere, Finland, 7-9 June 2010.
(9) D. Fleet and Y. Wiess, "Optical Flow Estimation" Handbook of Mathematical Models in Computer Vision, Springer, 2006.
(10) ITU-T and ISO/IEC, "H.264/AVC JM reference Software, 2004.
(11) L. Hanzo, P. Cherriman, and J. Streit, "Wireless Video Communications," Second Edition, IEEE Press, New York, United States of America, 2001.
(12) M. Vranjes, S. Rimac-Drlje, and K. Grgic, "Locally averaged PSNR as a simple objective Video Quality Metric," ELMAR, 2008. 50th International Symposium, pp. 17-20.
(13) ROHDE and SCHWARZ, "Mobile WiMAX MIMO Multipath Performance Measurements," WiMAX Forum, 2010.
(14) M. Wittmann, J. Marti, and T. Kurner, "Impact of the power delay profile shape on the bit error rate in mobile radio systems," IEEE Transactions on Vehicular Technology, vol. 46, pp. 329-339, 1997.
