Variable block-size transform and entropy coding at the enhancement layer of FGS [fine granularity scalable video coding]

This paper proposes a variable block-size transform and context-based entropy coding techniques for the enhancement layer of FGS (fine granularity scalable) video coding. First, the variable block-size transform is introduced into the enhancement layer to improve the performance of FGS in terms of both visual quality and PSNR. Different from that used in the traditional single layer coding, an R-D selection algorithm is proposed to optimally decide the transform size of each block, under consideration of consistent performance at a range of bit rates. Furthermore, to fully take advantage of the characteristics and correlations of symbols coded in the FGS enhancement layer, different context models are designed for the arithmetic coding according to symbol type and transform size. Experimental results show that the coding efficiency of FGS can be increased by 0.2-0.90 dB with the proposed techniques.