CID照相机的“冻结帧”或者止动装置能力使得其能够精确的捕捉并读取不同时的高速时间。
The stop motion or "freeze frame" capability of CID cameras enables them to accurately capture and read asynchronous high-speed events.
该算法只需要通过直接抽取MPEG视频流中的B帧、P帧中的宏块类型信息，并对其进行计算就可以检测出视频中存在的镜头边界，从而对场景变换进行精确定位。
The proposed method can detect scene boundaries through using various macroblock type of B-frame and P-frame in MPEG video flow in order to realize accurate scene change positioning.
本研究提出和实现了比较精确的帧间匹配，并进行了算法比较和效果评价，为准确的多帧平均提供了必要条件。
The comparatively accurate frame matching, the arithmetic compare and effect estimate are made, the necessary con - dition for average frames is provided.
实验结果表明了算法在对红外斑点目标进行单帧提取时的精确性和高效实用性。
The experiment results have shown that this algorithm is accurate and highly practical when it is used to extract the spot targets in a single frame.
三帧差分法比较简单，对环境的适应能力强，但是检测到的运动目标不精确；
The three Frames subtraction is relatively simple, which has strongly adaptability to the environment. However, the motion objects detected are inaccurate.
在分布式视频编码(DVC)中，由于解码端不能获取当前编码帧的信息，精确地对时域相关噪声进行建模变得更为困难。
In distributed video coding (DVC) because the decoder cannot have access to the current frame, modeling the temporal correlation noise becomes a difficult task.
在分布式视频编码(DVC)中，由于解码端不能获取当前编码帧的信息，精确地对时域相关噪声进行建模变得更为困难。
In distributed video coding (DVC) because the decoder cannot have access to the current frame, modeling the temporal correlation noise becomes a difficult task.
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