A personalization image aesthetic evaluation method based on character characteristics
An image aesthetics and evaluation method technology, applied in the field of image processing technology and computer aesthetics, can solve the problems of long training time, difficulty in convergence, and no use of data processing, etc., to achieve saving training model parameters, good prediction effect, and good personalized prediction effect of effect
Active Publication Date: 2019-06-18
CHINA UNIV OF MINING & TECH
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The above-mentioned personalized image aesthetic evaluation method has certain defects: (1) it only considers the influence of image aesthetic attributes and content on personalized aesthetic evaluation, and does not take into account the influence of evaluation individual factors on image aesthetic evaluation; (2) using support Vector machine modeling has the problems of difficulty in convergence and long training time, and does not use a large amount of data processing
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[0052] Embodiments of the present invention will be further described below in conjunction with the accompanying drawings, but the implementation and scope of the present invention are not limited thereto.
[0053] The present invention designs a personalized image aesthetic evaluation method based on personality characteristics by considering the influence of individual personality factors and image content factors in the aesthetic evaluation of personalized images, and by transferring deep learning ideas. The purpose of the present invention is the personalized aesthetic evaluation of images. In order to solve the problem that the amount of data for individual image aesthetic scoring is limited and it is not suitable for direct deep model training, the present invention first uses a large number of sample images with popular aesthetic scoring for deep network training and establishment. The popular aesthetics prediction model of the image; at the same time, the individual per...
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The invention relates to a personalization image aesthetics evaluation method based on personality characteristics, which comprises the following steps: (1) utilizing average aesthetics scores of mostpeople in an aesthetics image data set to an image, and carrying out training through a deep network to establish a popular aesthetics evaluation model of the image; (2) performing training by usingimages in the character image data set and character characteristics of individuals preference to the images through a deep network to establish a character characteristic prediction model of the images; (3) utilizing personalized aesthetic scores of specific individuals in the aesthetic image data set on the image, using the established models in the steps (1) and (2) to predict and obtain popular aesthetic scores and personality characteristics of the image, and using the personality characteristics as auxiliary information to migrate an image aesthetic evaluation result from the popular field to the personalized field to obtain an image personalized aesthetic evaluation model; And (4) for the to-be-tested aesthetic image, realizing individual personalized aesthetic evaluation by utilizing the established personalized aesthetic evaluation model.
Description
technical field [0001] The invention belongs to the field of image processing technology and computer aesthetics, and is especially suitable for a personalized image aesthetic evaluation method based on personality characteristics. Background technique [0002] With the rapid development of the mobile Internet and the rapid popularization of smart phones, the data of visual content such as images and videos is increasing day by day. The perception and understanding of these visual content has become a research direction of multiple interdisciplinary subjects such as computer vision, computational photography and human psychology. Among them, image aesthetics assessment is a recent research hotspot in the direction of computer vision perception and understanding. Image aesthetics aims to use computer systems to simulate humans to perform aesthetic perception calculations and evaluations on images. Humans’ appreciation of images is to make corresponding aesthetic decisions thr...
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IPC IPC(8): G06Q10/06G06N3/08
Inventor 李雷达祝汉城周玉胡波陈鹏飞
Owner CHINA UNIV OF MINING & TECH