Abstract:In this paper, we analyze that the best mode for intraprediction can be changed by the RD cost related with the bit to signal the prediction mode according to whether the most probable mode (MPM) and the prediction mode are same or not. With this understanding, we propose a fast 4 × 4 intra-prediction based on the MPM in the H.264/AVC. This algorithm uses a defined RD cost including the minimum bit to signal the prediction modes excluded the MPM as a threshold. Experimental results show that the proposed algorithm is capable of reducing the overall encoding time by 36% and the overall intra-prediction time by 47% compared to the full search, with negligible loss of quality. Keywords: H.264, intra prediction, mode probable mode Classification: Integrated circuits
We propose a novel fast sub-pixel search control algorithm for H.264 encoder by using neighbor motion vectors. This fast sub-pixel search control algorithm cuts down the motion estimation time by referring neighbor motion vectors and current integer motion vector. And this algorithm can improve the performance of motion estimation time more by merging other fast search algorithms with its independent discrimination.
Abstract:Inter-frame coding using inter-and intra-predictions plays an important role in achieving high compression efficiency in H.264/AVC. However, most intra-predictions are unnecessary, since the intra-coding mode occupies less than 5% of the overall coding in interframe coding. In this paper, we propose an intra mode skip algorithm for inter-frame coding in H.264/AVC as a means of obtaining fast intra mode decision. The algorithm uses the joint entropy (JE) and mutual information (MI) to extract the temporal correlations between the current block and the reconstructed block based on 8 × 8 motion estimation. All or part of the intra-prediction search is omitted by using JE and MI. Experimental results show that the proposed algorithm is capable of reducing the overall coding time by 15-37% and the overall intra-prediction time by 32-78% compared to full search of the reference software, with negligible loss of quality.
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