Abstract: A method for detecting security holograms on documents in a video stream is disclosed, including: searching for interest points and calculating descriptors in a frame; filtering of interest points in the previous frame so that only points located inside the quadrangle of the outer borders of the document remain; matching the descriptors of interest points of the current and previous frames; application of an algorithm for estimating the parameters of projective transformation between the frames; projective transformation of the quadrangle of the outer boundaries of the document from the previous frame to obtain the outer boundaries of the document in the current frame; document image normalization; calculating the color saturation and hue; updating the saturation and hue values; further considering the pixels of the normalized document image with brightness values not exceeding a preset threshold; filtration of the obtained image.

Abstract: Almost-indirect convolution in quantized neural networks (QNNs). In an embodiment, an indirection buffer is allocated and initialized with pointers to block of values in an input tensor representing an input image. In one or more layers of a QNN, matrix multiplication of a left matrix by a right matrix is performed over a plurality of iterations. In each iteration, a block of one or more rows of the input tensor is packed into a first cache using the indirection buffer, and a convolution kernel is applied to the packed block to produce an output. The outputs are accumulated as an output tensor representing an output image.