An efficient fine-granular scalable coding algorithm of 3-D meshsequences for low-latency streaming applications is proposed in this work. First, we decompose a meshsequence into spatial and temporal layers to suppo...
详细信息
An efficient fine-granular scalable coding algorithm of 3-D meshsequences for low-latency streaming applications is proposed in this work. First, we decompose a meshsequence into spatial and temporal layers to support scalable decoding. To support the finest-granular spatial scalability, we decimate only a single vertex at each layer to obtain the next layer. Then, we predict the coordinates of decimated vertices spatially and temporally based on a hierarchical prediction structure. Last, we quantize and transmit the spatio-temporal prediction residuals using an arithmetic coder. We propose an efficient context model for the arithmetic coding. Experiment results show that the proposed algorithm provides significantly better compression performance than the conventional algorithms, while supporting finer-granular spatial scalability.
暂无评论