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Object-Based Very Low Bit-Rate Coding Using Motion Parameter Estimation Based on Multiple Frame Prediction

机译:基于多帧预测的运动参数估计基于对象的极低比特率编码

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摘要

This paper proposes an object-oriented coding method in very low bit-rate channels, using the motion estimation technique based on multiple frame prediction. In most existing methods, only the global motion components are transmitted. So the images containing abrupt motions and noise yield large error, even after texture compensation using the discrete cosine transform (DCT). To reduce the global motion prediction error due to usage of rigid motion parameters, residual image mapping is employed. Since high computational complexity is required for local motion correction using residual image mapping, simplified global motion prediction prior to local motion refinement parameter extraction is proposed to reduce the burden of the overall coder complexity. Computer simulation results show that the proposed method gives good performances in terms of the subjective quality, the peak signal to noise ratio.
机译:本文提出了一种基于多帧预测的运动估计技术,在非常低比特率的信道上采用面向对象的编码方法。在大多数现有方法中,仅传输全局运动分量。因此,即使在使用离散余弦变换(DCT)进行纹理补偿之后,包含突变运动和噪声的图像也会产生较大的误差。为了减少由于使用刚性运动参数而导致的整体运动预测误差,采用了残差图像映射。由于使用残差图像映射进行局部运动校正需要很高的计算复杂度,因此提出了在局部运动细化参数提取之前进行简化的全局运动预测,以减轻整体编码器复杂度的负担。计算机仿真结果表明,该方法在主观质量,峰值信噪比等方面具有良好的性能。

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