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| With the rapid development of wireless communication technology and the popularity of mobile video input devices, wireless video transmission technology has been widely used in intelligent transportation, intelligent industry, intelligent security and other fields, which also brings many security problems. In this paper, a secure, fast and efficient video transmission scheme (SFE-VTS) for video sensor network is designed by combining deep compressed sensing and adaptive video codec technology. In the coding end, the new adaptive selection algorithm of sampling position and sampling rate of video frame block reduces the amount of data transmitted by redundant information and solves the problem of fluctuation of recovery quality between adjacent non-key frames. In the decoding side, the recovery algorithm based on deep learning can reconstruct the video frame quickly. In this paper, the proposed scheme can effectively solve the traditional video transmission scheme, encoding end takes up too much resource and transport process safety is not high. In addition, compared with some video transmission schemes based on traditional compressed sensing, the recovery effect and efficiency are higher. |
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| Keywords:computer application technology; video transmission; compressed sensing; deep learning |
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