Fast mode decision algorithm for scalable video coding based on probabilistic models

To reduce the computational complexity of the encoding process in Scalable Video Coding, we utilize the information of motion vector predictor (MVP) and the number of non-zero coefficients (NZC) to propose a fast mode decision algorithm. The probability models of MVP and the number of NZC are built to predict the partition mode in the enhancement layer. In addition, the search range of motion estimation is adaptively adjusted to further reduce computational complexity. Experiment results show that the proposed algorithm can reduce coding time by up to 76% in average and provide higher time saving and better performance than previous work.