A novel early SKIP mode detection method for coarse grain quality in H.264/SVC

Abstract

Various fast mode decision algorithms are proposed to reduce computational complexity for the H.264/scalable video coding standard. In this article, we focus on skip mode detection for coarse grain quality (CGS). We propose a fast skip mode detection approach by exploiting surrounding skip patterns, rate distortion (RD) cost and coded block pattern (CBP). Experimental results show that, with 0.589% BDBR and 0.011 dB BDPSNR loss on average, the proposed method achieves considerable encoding time reduction compared with the reference software. Compared with the state-of-the-art early skip algorithm, the proposed method also achieves 9.98% time reduction on average.