A multi-reference frame motion estimation algorithm was improved with the use of the space-time relation in video image information.
利用视频图像信息的时空相关性对多参考帧运动估计算法进行改进。
参考来源 - 基于H.264的模式选择和运动估计算法的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Experiments show that at low bit-rate of image sequence transmission, thus multi-reference frame search algorithm has some advantages in matching accuracy and speed of operation.
实验证明，在低码率序列图像传输中，此多参考帧搜索算法在匹配精度和运算速度方面都有一定的优越性。
Experimental results show that multi-reference-frame prediction does not improve coding performance but involve heavy computing cost in most cases.
实验结果表明，多参考帧预测在绝大多数情况下不能改善编码效率，反而引入了繁重的计算开销。
The characters of the VOV reference frame are multi-viewpoint observation, visual description, concept centered, process direction and model drive.
主要特征是多视点观察、可视化描述、概念为中心、过程为导向、模型做驱动。
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