No abstract

Multi-view video coding with a hierarchical B picture structure utilises intra-view and interview predictions to reduce the quantity of redundant information. The optimal coding mode is determined by exhaustively searching through all possible partition modes; however, a high degree of computational complexity is involved in such exhaustive searches. In this study, the authors statistically analyse the coding mode distribution in interview and intra-view and propose a fast mode decision algorithm to select the optimal mode in terms of rate-distortion optimisation. The probability density function of the ratedistortion cost and the degree of the homogeneity in motion are set as the multi-threshold in the algorithm to determine the optimal mode for base view coding. For the multi-view coding, the correlation of the modes in neighbouring views with similar regions is utilised to select the coding mode from the interview or intra-view predictions. The experimental results show that the encoding time for the base view and the multi-view is reduced by up to 85 and 69%, respectively, and the quality of the reconstructed video is nearly unchanged.

In inter-frame coding of H.264/AVC standard, there are inter partition modes and intra modes to be taken into account for seeking best mode. Although it can achieve higher coding efficiency than any other previous coding standard, the computation complexity also increases significantly. In this work, based on the information of the histogram differences and rate part of rate-distortion optimization, fuzzy reasoning technique is used to determine the intra skip in inter-frame coding to decrease the encoding time. Experimental results show that the encoding time is reduced up to 32%, and the quality is almost remained and bit-rate is slightly increased.