Fast Intra Prediction Algorithm for HEVC-SCC Based on the Content Property and Texture Mode

A fast intra prediction algorithm for HEVC-SCC based on the content property and texture mode is proposed. Since the DCT coefficients energy distribution of screen content video is differ from the natural content ones, early decision of video content is helpful to skip some prediction modes. With gradient information of prediction unit (PU), coding tree units (CTUs) can be classified into natural content CTUs (NCCTU), smooth screen content CTUs (SSCTU) and complex screen content CTUs (CSCTU). For NCCTU, traditional 35 intra modes are selected as candidates, and the Intra Block Copy (IBC) and Palette (PLT) modes are skipped; for SSCTU, DC mode, PLANAR mode, horizontal angle mode and vertical angle mode are selected as candidates, while the IBC and PLT modes are skipped; for CSCTU, the IBC and PLT modes are used for prediction and skip traditional intra modes. Under all-intra (AI) configuration, experimental results show that the proposed algorithm can achieve encoding time saving by 38.55% compared with SCM-8.3, and the bit rate only increases 1.82%.