An intelligent video streaming delivery of SVC based on rateless UEP convolutional code

This paper presents a new intelligent computing method of adaptive streaming video delivery based on Unequal Error Protection (UEP) rateless code for a Scalable Video Coding (SVC) video source, which can be applied to both broadcast and end-to-end scenario. The proposed rateless UEP Code is generated by concatenating punctured convolutional codes and LT codes with a specific coding graph. It provides superior UEP performance on different quality level symbols and gives greater decoding probability and higher priority to the base layer over the enhancement layers without excessive overhead. Meantime, the proposed delivery ensures that the layer with higher important level completes decoding before the layer with relatively lower important level. In this paper, the performance of coding scheme in terms of overhead and decoding probability is analyzed and the applicability to bandwidth and packet loss rate (PLR) of Dynamic Adaptive Streaming based on HTTP (DASH) and HTTP Live Streaming (HLS) are compared in the simulation. The simulation results have shown that the new adaptive streaming video delivery method is more suitable to the fluctuant bandwidth and has better performance on preventing packet loss.