A method of extracting picture features by using a binary bottleneck neural network
A neural network and image feature technology applied in the field of video processing to achieve good performance
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[0028] like figure 1 A method for extracting image features using a binary bottleneck neural network, comprising the steps of:
[0029] Step 1: set up a binary bottleneck neural network, this binary bottleneck neural network comprises input layer, hidden layer, output layer and image layer; Described hidden layer comprises the first hidden layer, the second hidden layer and the third hidden layer;
[0030] Step 2: After the picture is acquired by the camera, the picture is uniformly processed to make the picture a resolution size suitable for processing in the binary bottleneck neural network, and the unified processing includes zoom-in processing and zoom-out processing;
[0031] When the pictures in the 8-bit encoding format are uniformly processed, since the pixel values of the pictures in the 8-bit encoding format range from 0 to 255, all the pixel values in the pictures in the 8-bit encoding format are divided by 255 during processing. , so that it is normalized to t...
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