| The emerging H.264 advanced video coding (H.264/AVC) standard achieves significant improvement in coding efficiency compared with the previous standards. This standard can obtain excellent coding efficiency and outperforms the MPEG-4 in the low bit rate environment. So it can meet the requirement of the network-video with low bandwith and high quality. However, it also leads to higher computational complexity at the encoder mainly due to the variable-block-size motion estimation, which also leads to higher computational complexity. This is mainly due to the fact that the H.264 encoder employs more complicated approaches and features to efficiently improve the coding performance. At the same time, the encoder complexity is tremendously increased with these new approaches. Hence, it is an essential research topic to reduce the high encoding complexity while maintaining the good coding performance, especially when it comes to real-time video coding applications.Motion estimation is one of the core techniques of video coding. Motion estimation and motion compensation can reduce the large amount of temporal redundancy that exists between frames of video sequences, which leads to high compression. The research on looking for a motion estimation algorithm that can get an effective and accurate motion vector quickly becomes a hot topic at present.This thesis gives an overview of H.264/AVC standard and basic algorithms in every part of encoder.These parts, which have a heavy influence on the performance of the encoder, motion compensaton and mode decision, are discussed and analysed through plenty of experiments.Then lucubrate the motion estimation of H.264/AVC standard which restrict the video coding.And in the base, put forward a parallel project of mode select and TSS according to their natures. The parallel project of block mode selecting can improve the video encoding speeding in the base of keeping inheres encoding quality. And the parallel of TSS can also improve the video coding in the base of using the same arithmetic. Experimentalize in the multiprocessing computer for these two parallel projects. The test results indicate that the encoding speed can improve more than 3.3 times when using these two parallel projects colligation. |
