基于扭曲网格和帧插值的双向运动估计方法

V. Muñoz-Jiménez, A. Mokraoui-Zergainoh, J. Astruc
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引用次数: 4

摘要

本文主要研究了在极低比特率下应用的双向运动估计问题。解码器仅使用没有附加信息的接收帧来预测原始视频序列中的缺失帧。在每个解码帧上选择相同的移动对象,最初从四边形块中划分网格,然后使用特定的扭曲函数对其进行变形。网格节点的位置与物体的边缘相适应,从而使重建误差尽可能小。然后,利用这些节点的位置位移来预测缺失帧中运动物体的位置位移。最后,利用预测节点对网格对象进行重构。该方法已集成到H.264/AVC视频编码标准中。仿真结果证明了所提出的双向运动估计的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bidirectional Motion Estimation Approach Using Warping Mesh Combined to Frame Interpolation
This paper concentrates on the bidirectional motion estimation problem for applications at very low bit rate. The missing frames in the original video sequence are predicted by the decoder using only the received frames with not additional information. The same selected moving objects on each decoded frames, are initially meshed from quadrilateral blocks which are then deformed using specific warping functions. The positions of the mesh nodes are adapted to the object's edges in such a way that the reconstruction error is as small as possible. Afterwards, the position displacements of these nodes are used to predict those of the moving objects in the missing frames. Finally, the meshed objects are reconstructed thanks to the predicted nodes. The proposed approach is integrated in the H.264/AVC video coding standard. Simulation results present the performance of the proposed bidirectional motion estimation.
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