motion vector

An algorithm to optimize coherence of motion vector in electric image stabilizing

电子稳像中运动矢量一致性的优化算法

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The proposed algorithm takes advantage of inherent properties of shape coding as well as shape information, i.e., context-based motion estimation feature, motion vector correlation between neighboring binary alpha blocks, and binary feature of shape information.

该算法利用了形状编码及形状信息的固有特性，即基于上下文的运动估计特性、相邻二值alpha块的运动矢量相关性以及形状信息的二值特性。

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Sometimes, motion vectors may be far away from the true motion vector in the blotch area.

在斑点存在的区域，运动向量的估计可能会出现较大的偏差。

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Based on the spatial characteristics of center-biased distance between motion vector and corresponding prediction vector and temporal correlation of motion vectors, this method can significantly reduces the search times.

该算法由于利用了序列图象的实际运动矢量与预测矢量之间距离的空间分布特性一中心偏置分布特性和时间上的相关特性，并采用了中止判决准则，可以明显地减少搜索次数。

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This algorithm determines whether to unite sub-macroblock or macroblock according to the relativity of motion vector of sub-macroblock to avoid to ransack the seven prediction modes.

该算法的依据在于当前编码宏块的四个子宏块间存在着高度的相关性，根据子宏块运动矢量的相关性确定子宏块能否合并成分割宏块或宏块，以此避免遍历七种预测模式。

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In this paper, a transform algorithm of Motion Vector Field ( MVF) is proposed to revise the deformed motion vector based on the pinhole camera model.

本文基于针孔摄像机模型，提出一种运动向量场变换算法，提高基于运动向量场特征分析网球视频的性能。

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Second, a motion vector filter ( MVF) is introduced to correct the false estimated motion vectors caused by partial similarity in the video sequences.

接着运动矢量滤波器修正了由于局部相似造成的错误运动矢量。

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Fast Motion Estimation Algorithm Based on Motion Vector Filtering

基于滤波的运动向量的快速估计算法

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This paper proposes an algorithm to composite the motion vector according to the motion mode relativity between the target macroblock and its adjacent macroblocks. The validity of the proposed algorithm is discussed by analyzing the statistics and the comparison to FDVS and ADVS algorithms.

在FDVS和ADVS算法基础上，提出了一种基于宏块及其相邻宏块运动一致性的算法来修正原始运动矢量，并通过实验将其与现有的FDVS和ADVS算法进行比较。

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On one hand, we use the center-biased property, the sub-optimal integer match points are utilized to predict the sub-pixel motion vector direction, and thereby the number of search points can be reduced from 16 to 4-8.

一种算法考虑中心偏置特性，根据整像素最优点和次优点的方位关系来预测亚像素运动矢量的方向，使亚像素的待搜索点数由16个降低到4～8个。

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We used a quick search algorithm based on motion vector prediction.

采用了一种基于运动矢量预测的快速运动估计搜索算法.

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The algorithm has the advantages of high accuracy and fast speed. Image stabilization tests for air photo sequence are carried out with this algorithm and the estimated time for motion vector is only 10ms.

它具有精度高和速度快等特点，用该算法对实拍的航摄图像序列进行稳像试验，运动矢量的估计时间仅为10ms。

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A Fast Motion Estimation Algorithm Based on Motion Vector Field and Direction Adaptive Techniques

基于运动矢量场和方向自适应的快速运动估计算法

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According to the temporal correlation of the motion vector, the above two strategies are unified in the algorithm named a fast correlation tracking algorithm based on the classified search.

依据运动矢量时间相关性，将上述两种搜索策略统一在基于分类搜索的快速相关跟踪算法中。

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So we could use the predicted motion vector as ours starting point. Based this method of predicting starting point, we propose a fast motion estimation algorithm based on center search to decrease the computation of trivial motion in DS.

在该起点预测方法的基础上，针对菱形快速估计算法中对小运动块搜索点数过多的问题，提出了基于中心偏置的自适应的块匹配运动估计快速搜索算法AS。

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This paper improves on motion vector coding and unconnected pixels' disposal in scalable video coding with 5/ 3 motion-compensated temporal lifting ( MCTL).

对基于5/3运动补偿时间提升的可伸缩视频编码中运动矢量编码及不相连像素处理进行了改进。

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In order to further increase the robustness of the transmitted video over unreliable channels, distortion introduced by error concealment is taken into consideration under R-D optimized motion vector selection framework in the presence of FMO mechanism, this allows optimization of concealment distortion at the encoder.

为进一步增强在不可靠信道上传输视频的鲁棒性，提出了在运动向量搜索的率失真优化框架下，结合灵活宏块排列容错机制，对差错隐藏失真进行优化。

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