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Method for predicting color harmony degree according to user preference learning

A color and user technology, applied in the field of image processing, can solve problems such as inaccurate prediction models and failure to consider the influence of color harmony, and achieve high accuracy

Active Publication Date: 2020-06-05
ZHEJIANG GONGSHANG UNIVERSITY
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although such a data set can be quickly trained as a label for a supervised model, it does not consider the influence of different users' preferences on the degree of color harmony, so their prediction models are not accurate.

Method used

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  • Method for predicting color harmony degree according to user preference learning
  • Method for predicting color harmony degree according to user preference learning
  • Method for predicting color harmony degree according to user preference learning

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Embodiment Construction

[0032] The present invention quantifies the color aesthetics of different users through the model, and finally reflects each user's preference for color through the aesthetic ability value. The user can input five different color themes with the same area, and the method in this paper can generate the color themes. The degree of harmony of the color theme, expressed in numerical values.

[0033] Part 1: Data Acquisition and Preprocessing

[0034] Step 1: Perform an online crawler on the online website COLOURLOvers to obtain all color theme ids with more than 5 comments on the website, as well as user comment ids and specific comments.

[0035] Step 2: Semantic classification of the obtained comment information. Retrieve whether there are keywords of selected positive words or negative words in user comments, and judge the harmony degree of the comments according to the keywords. For comments that do not contain keywords, list their harmony value as 4. Table 1 shows the deta...

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Abstract

The invention discloses a method for predicting color harmony degree according to user preference learning. The method comprises the steps: based on user comments of a large website data set, carryingout semantic classification on comments of users in the data set on color themes, and dividing the comments into multiple different harmony degree values according to specific keywords; extracting multiple color themes from the color themes, and performing training in a three-layer back propagation neural network; and generating an aesthetic ability value conforming to user aesthetics from a result output from the hidden layer through a probability density model based on Kernel distribution; and finally, acquiring a final color harmony degree value through linear calculation. According to theinvention, the harmony degree value estimated by the method has high accuracy due to consideration of color aesthetic appreciation of different users, and the method can be applied to practical application scenes such as color suggestions with color palettes, image re-coloring and color style conversion.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a method for learning and predicting the degree of color harmony according to user preferences. Background technique [0002] Color matching can be used in various fields such as graphics, posters, clothing and interior home design. Among them, harmonious color matching is the decisive factor for the popularity of the design. Designers often adopt harmonious color matching that everyone can accept in their designs, some of which are proven to be effective in color harmony theory, for example, the color matching at a specific position in the color wheel is harmonious, and people build on this basis Harmonious color matching such as similar colors, contrasting colors, and three roles. But in most people's eyes, they lack the artist's eye and theoretical knowledge, so creating and evaluating a harmonious set of color themes becomes very difficult. [0003] Wi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/951G06N3/04G06N3/08
CPCG06F16/951G06N3/084G06N3/047G06N3/048G06N3/045
Inventor 杨柏林魏天祥
Owner ZHEJIANG GONGSHANG UNIVERSITY
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