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首页> 外文会议>International Conference on Computer Science and Software Engineering >An Improved Fast Intra-prediction Algorithm in H.264/AVC Based on Edge Feature
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An Improved Fast Intra-prediction Algorithm in H.264/AVC Based on Edge Feature

机译：基于边缘特征的H.264 / AVC中改进的快速帧内预测算法

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摘要

H.264/AVC is the newest video coding standard with high compression efficiency. But it can not achieve real-time application because it takes a long time to code with extremely complex algorithm. In this paper, according to the characteristic of intra-prediction algorithm, a fast algorithm based on Edge feature is proposed. To reduce the number of intra-prediction mode, some candidate modes are selected based on the edge features or Key Edge Strength (KES) of the image, and then related RDO is calculated. We also simplify Chroma prediction based on the relativity between Luma and Chroma prediction to further reduce the computational complexity. Experimental results show that the proposed fast intra-prediction algorithm reduces about 80% computation with negligible PSNR degradation and slight bit-rate increment. Compared with the PAN's sobel operator based on edge detection algorithm, it also has obvious superiority.
机译：H.264 / AVC是具有高压缩效率的最新视频编码标准。但它无法达到实时应用程序，因为它需要很长时间才能使用极其复杂的算法代码。本文根据帧内预测算法的特征，提出了一种基于边缘特征的快速算法。为了减少帧内预测模式的数量，基于图像的边缘特征或键边缘强度（KES）选择一些候选模式，然后计算相关的RDO。我们还基于亮度和色度预测之间的相对性来简化色度预测，以进一步降低计算复杂性。实验结果表明，所提出的快速帧内预测算法减少了约80％的计算，具有可忽略的PSNR降级和轻微比特率增量。与PAN的Sobel操作员基于边缘检测算法相比，它也具有明显的优势。

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