COMPRESSED SENSING VIDEO STREAMING FOR INTERNET OF MULTIMEDIA THINGS

Abstract

Multimedia over the Internet of Things (IoT) is posing challenges and opportunities for multimedia transmission. An essential test for supporting interactive multimedia applications in the IoT is the bandwidth limitation available on the internet. Bandwidth limitation and minimum quality of multimedia over the internet, especially video are the main challenges on Internet of Multimedia Things (IoMT). This thesis introduces a solution to these problems. The first proposed method introduce a new image compression technique depends on a hybrid (Compressed Sensing) CS with Discrete Wavelet Transform (DWT) to increase compression ratio with acceptable quality. The main idea of the second suggested method depends on changing the compression ratio based on either the available bandwidth of the internet or the quality of transmitted media. This proposed method depends on proposing Compressed Sensing Checker (CSC) technique. The suggested CSC video technique depends on monitoring the available bandwidth of the internet and the quality of the transmitted video. The check signal from checker (CSC) can change the compression ratio of the video to transmit media with maximum quality through maximum available throughput. The simulation results show the efficiency of the proposed solution in IoMT. Finally, the proposed method has been introduced in the form of hardware and was implemented practically and the simulation results illustrate this ide