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A Study on Motion Prediction and Coding for In-Band Motion Compensated Temporal Filtering

机译:带内运动补偿时间滤波的运动预测和编码的研究

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Compared with spatial domain motion compensated temporal filtering (MCTF) scheme, in-band MCTF scheme needs more coding bits for motion information since the motion estimation (ME) and motion compensation (MC) are implemented on each spatial subband. Therefore, how to employ motion prediction and coding is a key problem to improve the coding efficiency of in-band MCTF. In this paper, we proposed an efficient level-by-level mode-based motion prediction and coding scheme for in-band MCTF. In our scheme, three motion prediction and coding modes are introduced to exploit the subband motion correlation at different resolution as well as the spatial motion correlation in the high frequency subband. To tradeoff the complexity and the accuracy of block-based motion search, a jointly rate-distortion criterion is proposed to decide a set of optimized motion vector for three spatial high frequency subbands at the same level. By the rate-distortion optimized mode selection engine, the proposed scheme can improve the coding efficiency about 0.6db for 4CIF sequence.
机译:与空间域运动补偿时间滤波(MCTF)方案相比,由于在每个空间子带上实现运动估计(ME)和运动补偿(MC)来实现用于运动信息的带内MCTF方案。因此,如何使用运动预测和编码是提高带内部MCTF的编码效率的关键问题。在本文中,我们提出了一种基于级别的基于级别的基于模式的运动预测和用于带内MCTF的编码方案。在我们的方案中,引入了三种运动预测和编码模式以利用不同分辨率的子带运动相关以及高频子带中的空间运动相关性。为了基于基于块的运动搜索的复杂性和准确性,提出了共同速率失真标准来确定相同级别的三个空间高频子带的一组优化的运动矢量。通过速率失真优化模式选择引擎,所提出的方案可以提高约0.6dB的编码效率,用于4cif序列。

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