The Research And Application Of Transportation Technology Of Real Time Video In Smart Home System

With the continuing improvement of people's living standard, digital and intelligent information home become the goal of people's life. As one of the most important parts of digitalized home security, it needs the real time supervision of home video. Long-distance transportation of real-time video will require efficient compression techniques and be adaptive to all kinds of network environments. This paper based on these above issues and proposed the research and development of the transportation of real time video in smart home system.The Internet is based on the sharing channel of TCP/IP protocol and consists of various heterogeneous subnets. It is unpredictable of its transportation latency, available bandwidth and data package lost rate. So it's necessary to have an efficient encoding method and an adaptive real time transportation strategy to meet the multimedia communication's requirement of latency and bandwidth.MPEG-4 is more advantageous than MPEG-1, MPEG-2 and H.263 in store capacity, quality of image, net transportation, and error resistance. RTP/RTCP is a real time video transportation and real time transportation control protocol based on TCP/IP. It is more effective than TCP and more reliable than UDP. As a result, it is worthwhile to choose MPEG-4 as the compression standard and RTP/RTCP as the real time transportation protocol for system.This paper discusses and analyzes texture coding and motion compensation tools of the MPEG-4 video, especially on the one dimension DCT algorithm, MVFAST and PMVFAST motion prediction algorithms. It compares and analyzes many real time transportation methods of MPEG-4 video bits, and selects the adaptive rate control algorithm for this system; it also discusses RTP/RTCP protocol and RTP payload format for MPEG-4 visual streams, feedback control algorithm and error control methods; It has comprehensive research about the quadratic R-D model algorithm and improves it. Finally, these technologies are applied in smart home system, using XviD , JRTP open source software , Video4Linux and DirectShow technologies.