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In recent years the most popular video-based human action recognition methods rely on extracting feature representations using Convolutional Neural Networks (CNN) and then using these representations to classify actions. In this work, we propose a fast and accurate video representation that is derived from the motion-salient region (MSR), which represents features most useful for action labeling....
Aiming at less information available in off-line signature, the accuracy of using a single character to verify is not high enough, an off-line handwritten signature authentication method based on multi-feature fusion is presented. At first, ET1DT12 feature and moment feature are extracted from the same signature and combined to form a new high-dimensional feature, then RBF neural network is used for...
To make the HSV color model more suitable for wood image retrieval, one hundred images of wood were analyzed to educe their visual spatial distribution laws in HSV color space. It was found that hue, saturation and value components of wood were all centralized distribution. Based on the histogram threshold segmentation and color perception, the proposal on non-equal spacing division of hue, saturation...
In this paper, we present an image retrieval method that integrates the color, textural and spatial information of images to facilitate the retrieval effect. Nine parameters are extracted based on the HSV, GLCM, LRE models, and wavelet, fractal algorithms, which include: hue, saturation, value, contrast, angular second moment, sum of variances, long run emphasis, fractal dimension, and wavelet horizontal...
In the view of the situation that certain quantities of cells adhere, overlap and gather when the outline edge of cells is extracted during the research on forming characteristic of wood cells, this paper puts forward the improved two-step inflation model of snake with which outline of cells is extracted. At the same time, the greedy optimized algorithm is applied to reduce the running time of the...
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