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An efficient low bit-rate video-coding algorithm focusing on movingregions

机译:一种针对运动区域的高效低比特率视频编码算法

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Block-based motion estimation and compensation are the most popular techniques for video coding. However, as the shape and the structure of an object in a picture are arbitrary, the performance of such conventional block-based methods may not be satisfactory. In this paper, a very low bit-rate video coding algorithm that focuses on moving regions is proposed. The aim is to improve the coding performance, which gives better subjective and objective quality than that of the conventional coding methods at the same bit rate. Eight patterns are pre-defined to approximate the moving regions in a macroblock. The patterns are then used for motion estimation and compensation to reduce the prediction errors. Furthermore, in order to increase the compression performance, the residual errors of a macroblock are rearranged into a block with no significant increase of high-order DCT coefficients. As a result, both the prediction efficiency and the compression efficiency are improved
机译:基于块的运动估计和补偿是最流行的视频编码技术。然而,由于图片中对象的形状和结构是任意的,因此这种传统的基于块的方法的性能可能不令人满意。本文提出了一种针对运动区域的非常低比特率的视频编码算法。目的是提高编码性能,与传统编码方法在相同比特率下相比,其主观和客观质量更高。预定义了八个模式,以近似宏块中的移动区域。然后将这些模式用于运动估计和补偿,以减少预测误差。此外,为了提高压缩性能,将宏块的残留误差重新排列为没有高阶DCT系数的显着增加的块。结果,提高了预测效率和压缩效率。

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