Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Digital image generation typesetting system and method

A digital image and image technology, applied in the field of digital image generation typesetting system, can solve the problems such as inability to digital image typesetting, digital image typesetting effect, etc., and achieve the effect of simple operation, perfect production, and high fidelity

Active Publication Date: 2022-07-29
GUIZHOU POWER GRID CO LTD
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the above-mentioned shortcomings in the prior art, the present invention provides a system and method for digital image generation and typesetting, which solves the problem that the current technology cannot perform digital image typesetting based on user practicability and frequency of use, which cannot bring digital images better. Typesetting problem

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
  • Digital image generation typesetting system and method
  • Digital image generation typesetting system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0052] The digital image generation typesetting system of this embodiment, such as figure 1 shown, including:

[0053] The cloud database 3 is used to establish a data transmission network to provide data exchange to various digital networks, and to store digital image data;

[0054] User login system 2, used for user login system control use;

[0055]The main control module 1 is the total control terminal of the system, which is used to analyze user populations for user classification, and execute commands for lower-level modules to execute;

[0056] An image acquisition unit 4, configured to acquire the provided digital image, and use a web crawler to confirm the practical level of the digital image;

[0057] a retrieval unit 5 for retrieving the frequency of use of the current digital image of the user;

[0058] Classification unit 6, for setting a typesetting threshold with reference to the classified image element data;

[0059] The evaluation module 7 is used for ana...

Embodiment 2

[0081] At the specific implementation level, on the basis of Embodiment 1, this embodiment will further describe in detail, the digital image generation and typesetting method, such as figure 2 shown, including the following steps:

[0082] Step101: Use web crawler tracking to judge the user's frequency of use according to the practicability of digital images;

[0083] Step102: Classify users with reference to user preferences and user usage frequency;

[0084] Step103: Obtain at least one digital image according to the classification group, and use the deep neural network discriminator to score the image;

[0085] Step104: Acquire image data constituting the target image, and form at least one image layer according to the image data;

[0086] Step105: Classify image element categories according to at least one image layer;

[0087] Step 106: Analyze the generated image categories, and automatically make typesetting for the materials provided by the user.

[0088] When us...

Embodiment 3

[0092] At the specific implementation level, on the basis of Embodiment 2, this embodiment is further described in detail, such as figure 2 shown,

[0093] The user classification in Step 102 includes the following steps:

[0094]obtaining user information, forming image data of the target image, and determining at least one classification layer group according to the image data;

[0095] The initial layout image state is obtained according to the initial state of the classification layer group, and the initial layout image state is input to the deep neural network discriminator for image scoring.

[0096] like figure 2 As shown, in Step 104, a sample image is collected according to the usage frequency of the user, and a standard score of the sample image is obtained, which is used as the score label of the sample image to constitute the image layer.

[0097] like figure 2 As shown, in Step 105, a test image is acquired through the image layer, and the typesetting layer...

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 relates to the technical field of digital images, in particular to a digital image generation and typesetting system and method, including a cloud database for establishing a data transmission network and providing it to various digital networks for data interaction and storing digital image data; a user login system for user login System control and use; the main control module is the total control end of the system, used to analyze user populations for user classification, and execute commands for lower-level modules to execute; image acquisition unit, used to obtain the provided digital images, and use web crawlers to confirm The utility level of the digital image; a retrieval unit for retrieving the frequency of use of the current digital image of the user; a classification unit for setting a typesetting threshold with reference to the classified image element data; an evaluation module for analyzing the The image element data is automatically typeset; the invention can realize the automatic typesetting of digital images, and improve the aesthetics and correctness of digital image typesetting.

Description

technical field [0001] The invention relates to the technical field of digital images, in particular to a digital image generation and typesetting system and method. Background technique [0002] With the great improvement of processing technology and the development of graphics rendering technology, digital signal processing technology, sensing technology, and graphics technology, a research upsurge of virtual reality was formed at home and abroad in the late 1980s and early 1990s. The purpose of virtual reality technology is to use the realistic three-dimensional vision, hearing, touch and other senses produced by the computer, so that users can interact and control the entities in the virtual environment naturally through the use of special equipment. The most intuitive way to display, so the layout of the image is particularly important for the staff to see. [0003] Taking posters as an example, in the design process, the issue of typesetting has always been the most t...

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): G06F16/535G06F16/55G06F16/951G06N3/04G06T11/60
CPCG06F16/535G06F16/55G06T11/60G06F16/951G06F2221/2141G06N3/045Y02D10/00
Inventor 高敏
Owner GUIZHOU POWER GRID CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products