Scalable Video Coding with Compressive Sensing for Wireless Videocast

Siyuan Xiang, Lin Cai
2011 2011 IEEE International Conference on Communications (ICC)  
Channel coding such as Reed-Solomon (RS) and convolutional codes has been widely used to protect video transmission in wireless networks. However, this type of channel coding can effectively correct error bits only if the error rate is smaller than a given threshold; when the bit error rate is underestimated, the effectiveness of channel coding drops dramatically and so does the decoded video quality. In this paper, we propose a low-complex, scalable video coding architecture based on
more » ... e sensing (SVCCS) for wireless unicast and multicast transmissions. SVCCS achieves good scalability, error resilience and coding efficiency. SVCCS encoded bitstream is divided into base and enhancement layers. The layered structure provides quality and temporal scalability. While in the enhancement layer, the CS measurements provide fine granular quality scalability. In addition, we incorporate the state-of-the-art technologies to improve the compressive sensing coding efficiency. Experimental results show that SVCCS is more effective and efficient for wireless videocast than the existing solutions.
doi:10.1109/icc.2011.5963359 dblp:conf/icc/XiangC11 fatcat:vkaa4kfyazckdfzjau6qgh7xhe