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111results about How to "Increase the importance" patented technology

Method for constructing vertebral three-dimensional geometry and finite element mixture model

The invention provides a method for constructing a vertebral three-dimensional geometry and finite element mixture model, which belongs to the technical field of processing of medical images. The method comprises the following construction processes of: inputting a vertebral computer tomography (CT) image; performing three-dimensional reconstruction and three-dimensional cutting on the CT image to acquire a vertebral three-dimensional image set; establishing a three-dimensional geometric statistical model, namely defining and manually calibrating vertebral characteristic points, aligning and registering vertebral images, and training a sample set to acquire the statistical model; and generating a finite element model, importing the statistical model, generating a surface mesh model, and generating a volume mesh model, wherein the model can be directly imported into finite element analysis software for biomechanics analysis. By the method, a vertebral geometrical shape can be precisely described, the accuracy of finite element analysis results can be ensured, and the precision of vertebral models can be improved. The method is convenient to use, facilitates the scientific measurement of the shapes and the stress of vertebras and can be used for researches related to vertebral columns and the vertebras in the field of surgical medicine.
Owner:XIDIAN UNIV

Album creating apparatus, album creating method and computer readable medium

An album creating apparatus for creating an album with an appropriate layout based on an image classification information and an image capturing time. The album creating apparatus according to an aspect of the invention includes: an image storage section that stores a plurality of images; an image classification information storage section that stores the image classification information in association with each of the images stored in the image storage section; a classification information importance calculating section for calculating the importance of the image classification information of the image stored in the image storage section; an image classification section that classifies the images stored in the image storage section based on the image classification information when the importance of the image classification information calculated by the classification information importance calculating section is higher than a predetermined reference value; a layout determining section that lays out the image classified by the image classification section into each region in an album; and a positional information inserting section for inserting into the layout region in which the image is laid out by the layout determining section, positional information indicative of the image classification information of the laid out image.
Owner:FUJIFILM CORP

A video description method and system based on an information loss function

The invention relates to a video description method and system based on an information loss function, and the method comprises the steps: obtaining a training video, and obtaining the semantic information of each frame of a set training video; Inputting the semantic information of the training video into an LSTM-combined hierarchical attention mechanism model to obtain character description of thetraining video; According to the importance of each word in the character description to the expression video content, performing loss weighting on the words to obtain an information loss function, and taking the information loss function as an objective function to perform back-propagation gradient optimization on the hierarchical attention mechanism model to obtain a video description model; Obtaining a to-be-described video, respectively inputting the to-be-described video into the target detection network, the convolutional neural network and the action recognition network to obtain a setof target features, overall features and motion features of each frame of the to-be-described video as semantic information of the to-be-described video, and inputting the semantic information into the video description model to obtain character description of the to-be-described video.
Owner:INST OF COMPUTING TECH CHINESE ACAD OF SCI
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