An Improved Wireless Video Multicast Based on Compressed Sensing

Abstract

In wireless video multicast, the main challenge is to meet the demands of heterogeneous receivers who face the same video source stream but show different channel characteristics. This paper proposes an improved compressed-sensing-base wireless video multicast (iCS-WVM) technique, where the measurements of each group of pictures (GOP) are packed and transmitted through an analog channel. Each receiver obtains some packets according to its channel characteristic and then the packets are decoded by exploiting the correlation of the video frames. Due to the fact that measurements from compressed sensing have the same importance, the receiver with good channel will receive more packets so as to recover a better quality, which guarantees iCS-WVM with a graceful degradation rather than cliff effects. Additionally, by exploit the motion estimation at the decoder side, iCS-WCM achieves better rate-distortion performance than the state-of-the-art Soft Cast and PQC, meanwhile a low-complexity encoding is preserved.