Low Complexity Hevc Scalable Encoder Based on FSS Algorithm

Abstract

High efficiency video coding (HEVC) provides compressed video bit streams with good quality video that offers an extension of its kind-Scalable extension of high efficiency video coding (SHVC). SHVC offers delivery of compressed video bit streams over various types of networks with broader scalability. Mode decision and motion search in standard HEVC is more exhaustive and complex, and it is even more complex in the HEVC scalable extension. The encoder time increases due to the computational complexity in SHVC to find the best mode in the search algorithm. To overcome this, a forward-looking step search (FSS) algorithm is proposed to offer less computational complexity with acceptable coding efficiency. The FSS algorithm searches for the optimal matching block by fixing nine points around the assumed center point. The optimal block is determined by forward-looking each point that has minimal rate distortion cost (RDC). The simulation results show that the algorithm works better with a 0.5% increase in the peak signal-to-noise ratio (PSNR) and an encoder time savings of 21.16% with the standard SHVC SHM software.