Application layer protocols in multimedia networks

Today, there´s a growing trends to broadcast and stream multimedia files over the internet due to low cost of transmission. Protocols divide transmitted data to packets but problem was, with the limited bandwidth, which leads to the delay of the received image. We propose a framework for data transmission that overcome the limited bandwidth problem. The major feature of the framework is decreasing the amount of details in the image file. This is done by sending the most effective values of the image, so decreasing number of sent packets, thus speeding the transmission procedure from one side, and saving bandwidth from the other side. To achieve our goal, Two compression methods 2-dimensional Discrete Cosine Transform (2DDCT) and 2-dimensional Fast Fourier Transform 2DFFT will be used in the framework. Signal Extrapolation is an important topic in this research as it will be used for concealment of image data corrupted by transmission errors. Encoding and Decoding will be done by (REED-Solomon) method. Then embedding this algorithm to application layer protocols (Http, Sip). Finally, a comparative study is made between PSNR of the two compression methods and check which of them is suitable for data transmission and under what conditions. It is shown that this approach can successfully achieve a PSNR values, very near to PSNR values with no compression. Besides, have the advantage of sending multimedia files very fast in a good reliable quality and also saving network bandwidth.