实验表明，该算法具有很好的鲁棒性和不可感知性，能够抵抗帧删除等同步攻击以及基于视频内容的攻击；
The experimental results demonstrate the algorithm has great robustness and unperceptiveness and can efficiently against temporal synchronization attacks and content-based attacks.
实验和分析表明，该方法不仅对各种常规攻击鲁棒，而且对帧重组、帧内裁剪和帧删除等视频特有攻击表现出强的鲁棒性。
Experiments and analysis show that this method is robust not only to various conventional attacks, but also to re-frame, frame cropping, frame deletion and other video-specific attacks.
这些层可以被动态的增加或删除，你也可以对这些层进行改动，因为每层都有一个轨道，你可以在轨道中的特定时间点加入关键帧到达改变动画的目的。
These layers and be added or removed dynamically and you can change each layer as it has a track that lets you change it as a function of time by inserting keys at certain frames in the track.
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