TY - JOUR T1 - Video Streaming: Single and Compound Report Transcoding Method AU - Vetrivel, S. AU - Athisha, G. JO - Asian Journal of Information Technology VL - 13 IS - 5 SP - 300 EP - 307 PY - 2014 DA - 2001/08/19 SN - 1682-3915 DO - ajit.2014.300.307 UR - https://makhillpublications.co/view-article.php?doi=ajit.2014.300.307 KW - Single report KW -subject prioritized retransmission KW -channel alert compound report KW - KW -video transcoding KW -error propagation AB - Video transcoding performs the operations such as bit rate and layout alteration to transform one compressed video stream to another. Transcoding enable multimedia devices of diverse ability and formats to restore video content on various platforms. Modern multimedia applications have become popular because of the most advanced multimedia compression techniques. Concentrated efforts on 4D Perceptual Quantization modeling (PQrc) predict the frame complexity but suffer from the time varying packet loss rate and fluctuating bandwidth. To overcome the packet loss, a Single and Compound Report Transcoding Method is presented. Moreover, an adaptive error control scheme is developed with the proposed method to initiate error flexibility features in a compressed video which provide more flexibility to the roaming clients. The proposed transcoding method divides the error control operation into single report and multiple or compound report modes according to the availability of the channel. In single report mode, Subject Prioritized Retransmission (SPR) Method is evolved to mitigate the error propagation due to packet loss in video transfer. The SPR Method resolves the retransmission schedule of a lost packet according to the packet’s loss impact that is obtained in a front end encoding process. In compound report mode, Channel Alert Compound Report Transcoding (CA-CRT) Method is introduced that reduces the error propagation due to packet loss caused by transient channel switching. The experimental evaluation of single report and compound report transcoding method is compared with the 4D Perceptual Quantization (PQrc) Modeling in terms of PSNR, accuracy, packet loss rate and provides better bandwidth and results evaluate that the packet loss rate is reduced to 3.57%. ER -