
The intra prediction in HEVC exploits the new techniques, such as the tree coding structure and up to 35 intra prediction modes, etc., to achieve high coding efficiency but incur heavy computational complexity as well. To reduce the computational complexity, a novel fast mode decision algorithm for intra prediction in HEVC is proposed in this paper. In the proposed algorithm, by using the texture characteristic of the current prediction unit (PU) and the similarity between neighboring PUs, the proposed rough and refine decision schemes are sequentially utilized to reduce the number of candidate prediction modes required for checking so that the computational complexity can be greatly saved. Experimental results have demonstrated that the proposed algorithm can reduce, on average, 25% computational complexity with negligible loss of coding efficiency, compared with the fast intra mode decision method implemented in HEVC reference software.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
