Supercharge Your Innovation With Domain-Expert AI Agents!

A color painting creation method based on image semantic extraction and graffiti

A semantic and graffiti technology, applied in the field of color painting creation based on image semantic extraction and graffiti, can solve problems such as time-consuming, long color painting design cycle, hindering business development, etc., to reduce pressure, solve excessively long design cycle, improve The effect of design efficiency

Active Publication Date: 2020-06-26
HUAQIAO UNIVERSITY +1
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For some painting studios or painters, color painting design takes a lot of time, and the long color painting design cycle has become a pain point in the industry that hinders business development

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A color painting creation method based on image semantic extraction and graffiti
  • A color painting creation method based on image semantic extraction and graffiti
  • A color painting creation method based on image semantic extraction and graffiti

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] see figure 1 , a color painting creation method based on image semantic extraction and graffiti, comprising the following steps:

[0029] Step 101, extract image semantics.

[0030] (1) Select a picture with clear semantic structure as the material picture. Taking a portrait color drawing as an example, it generally includes semantic area elements such as skin, hair (hair, eyebrows, beard, etc.), eyes, mouth, ears, and clothes; taking a landscape color drawing as an example, it generally includes grass, trees, stones, rivers, etc. Semantic elements.

[0031] (2) Create an equal-sized semantic map SEM based on the material map MAT. Specifically, let the color set C, each color c∈C; the semantic set S, each semantic s∈S. According to the rule f(a):C->S that each pixel point x∈C in the material map MAT belongs to a certain semantics, and the color mapping function g(b):S->C corresponding to each semantic, the calculation is The color of each pixel in the semantic map ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a color painting creation method based on image semantic extraction and doodles; the method can immigrate semantic styles into a doodle image, thus further converting into an exquisite color painting; the method collects existing color painting materials, tags semantics in the material images, uses the semantics to form a doodle image, and uses a style immigration technology combining a Markov Random field with a convolution neural network to obtain an exquisite color painting with fused material image style and doodle semantics. The method can reduce the drafting time of a painter repeatedly drafting a same topic, can fast change the composition while keeping the original style, and can provide color painting inspirations, thus solving the color painting supply and demand imbalance pain spot in certain level.

Description

technical field [0001] The invention relates to the fields of image processing, machine learning and deep learning algorithms, in particular to a color painting creation method based on image semantic extraction and graffiti. Background technique [0002] For color painting practitioners, it takes a lot of energy and time to create a new color painting, and at the same time, it is necessary to adjust the existing theme scheme to meet the needs of different customers. For some painting studios or painters, color painting design takes a lot of time, and the long color painting design cycle has become a pain point in the industry that hinders business development. With the development of computer vision technology, image fusion and style transfer algorithms have become more mature, which can extract style and key content from multiple images, and then intelligently generate new images. Therefore, using computer vision technology to assist or accelerate color painting art desig...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06T11/00
CPCG06T11/001
Inventor 王华珍潘傲寒
Owner HUAQIAO UNIVERSITY
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com