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Key Frame Extraction from MPEG Video Stream

机译:来自MPEG视频流的关键帧提取

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In order to extract valid information from video, process video data efficiently, and reduce the transfer stress of network, more and more attention is being paid to the video processing technology. The amount of data in video processing is significantly reduced by using video segmentation and key-frame extraction. So, these two technologies have gradually become the focus of research. With the features of MPEG compressed video stream, a new method is presented for extracting key frames. Firstly, an improved histogram matching method is used for video segmentation. Secondly, the key frames are extracted utilizing the features of I-frame, P-frame and B-frame for each sub-lens. Fidelity and compression ratio are used to measure the validity of the method. Experimental results show that the extracted key frames can summarize the salient content of the video and the method is of good feasibility, high efficiency, and high robustness.
机译:为了从视频中提取有效信息,有效地处理视频数据,并降低网络的传输应力,越来越多地关注视频处理技术。通过使用视频分割和键帧提取显着降低了视频处理中的数据量。因此,这两种技术逐渐成为研究的重点。利用MPEG压缩视频流的功能,提出了一种用于提取关键帧的新方法。首先,改进的直方图匹配方法用于视频分割。其次,利用每个子镜头的I帧,P帧和B帧的特征提取关键帧。保真度和压缩比用于测量方法的有效性。实验结果表明,提取的关键框架可以总结视频的突出含量,方法具有良好的可行性,高效率和高稳健性。

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