Digital Video

This book tries to address different aspects and issues related to video and multimedia distribution over the heterogeneous environment considering broadband satellite networks and general wireless systems where wireless communications and conditions can pose serious problems to the efficient and reliable delivery of content. Specific chapters of the book relate to different research topics covering the architectural aspects of the most famous DVB standard (DVB-T, DVB-S/S2, DVB-H etc.), the protocol aspects and the transmission techniques making use of MIMO, hierarchical modulation and lossy compression. In addition, research issues related to the application layer and to the content semantic, organization and research on the web have also been addressed in order to give a complete view of the problems. The network technologies used in the book are mainly broadband wireless and satellite networks. The book can be read by intermediate students, researchers, engineers or people with some knowledge or specialization in network topics. Video transmission over MIMO systems offers numerous new research opportunities. Lots of new researches are originated from the fundamental change in data transmission from single link to multiple simultaneous links in the MIMO systems. In this study, we applied joint source-channel coding with modulation scheme to design an adaptive video transmission over wireless MIMO system. The bit rates of MPEG2 video can be adaptive to associate with the convolutional channel codes and space-time block code (STBC) under the channel capacity constraint consideration. In order to be consistent with the channel capacity constraint (which is set to be 1 bit/transmission), there are three rate combination types of the joint source-channel coding algorithm as shown in Table 1. From the simulation results, we found that the space diversity and the channel code rate both are important factors influenced reconstructed video quality. The simulation results shows that two transmitter antennas and two receiver antennas (2×2) STBC coded system demonstrates the best BER performance, while the worst performance goes to the 2×1 STBC coded system. The system performance is also improved with lower channel coding rate in the experiment. It can be found from the simulation, rate 2/3 convolutional coded system is with the worst bit error rate performance, where rate 2/5 convolutional coded system shown the best BER performance at the same SNR conditions. In this study, the proposed adaptive system can choose an adequate transmission rate and the number of receiver antennas based on the channel condition. With the feedback BER Table of Contents.pdf......Page 1 1.pdf......Page 4 2.pdf......Page 34 3.pdf......Page 48 4.pdf......Page 74 5.pdf......Page 100 6.pdf......Page 114 7.pdf......Page 128 8.pdf......Page 148 9.pdf......Page 166 10.pdf......Page 188 11.pdf......Page 210 12.pdf......Page 232 13.pdf......Page 266 14.pdf......Page 288 15.pdf......Page 306 16.pdf......Page 332 17.pdf......Page 362 18.pdf......Page 384 19.pdf......Page 400 20.pdf......Page 428 21.pdf......Page 456 22.pdf......Page 466 23.pdf......Page 490