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。
But regarding the rapid change's sequence of movement background, using the multi-reference frame technology influence to be obvious regarding to code the performance.
而闭于于活动背景敏捷变更的序列，长参考帧的当用闭于于编码机能的影响较大。
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。
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。
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