Building Optimal Scalable Video Streams Using Simulated Annealing Algorithm

In this research work, work has been done on scalable video transmission. The scalable video coding is an extension of the H.264 (MPEG, 4AVC) encoding. This concept allows video transmission to scale so that content is delivered without the degradation between various end points. For example, transmission between laptop and a mobile device over WiMAX technology platform. In the current research, the idea is to build a stream of video data that helps in optimization of energy consumption along with quality of pictures. Therefore, the most critical factor PSNR with respect to data rate has been considered. The performance metric is extension for any research work done in this field. It is no- reference quality metric that can help to access the quality of video frame and is behavior with respect to data rate was examined and observed based on this observation references are found with respect to energy consumption and quality of pictures. For all this number of streams has been varied from 10-50 and behavior has been observed. For each stream number of frame were also varied from 10-40 frames. Then comparison has been conducted over a period of 100 consecutive schedule instances. Thus our proposed algorithm works more efficiently.