Supercharge Your Innovation With Domain-Expert AI Agents!

Image big data similarity comparison method and system

A technology of image data and big data, applied in the field of image processing, can solve the problems of low efficiency and accuracy, and achieve the effect of improving the efficiency of image recognition

Pending Publication Date: 2021-02-02
SHANGHAI SOFTLINE INFORMATION TECH
View PDF1 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem of low efficiency and accuracy of existing image comparison

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
  • Image big data similarity comparison method and system
  • Image big data similarity comparison method and system
  • Image big data similarity comparison method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] Refer to attached figure 1 - attached image 3 , a method for comparing image big data similarity in this embodiment uses crawler crawling technology and big data search to capture image data that needs to be compared, analyzes and manages the captured image data, and then performs structured Store, and classify and compare according to the attributes of the image. The comparison process is to calculate the features contained in the image and generate a set of fingerprints, and compare the fingerprints of the images to judge the similarity of the images.

[0045] The method includes the following steps:

[0046] S100, image capture, capturing required image data in a specific website through crawler capture technology;

[0047] S200. Analyzing and managing, dividing the captured image data into a multi-dimensional structure;

[0048] S300. Image comparison, calculating the features included in the image and generating a set of fingerprints, and comparing the fingerpr...

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 discloses an image big data similarity comparison method, and the method comprises the steps: capturing the image data to be compared through a crawler capture technology and big data search, analyzing and processing the captured image data and storing the image data in a structured mode, and performing classification comparison according to attributes of images, wherein the comparison process is that the features contained in the images are calculated a set of fingerprints are generated and the fingerprints of the images are compared to judge the similarity of the images; therefore, the image recognition efficiency can be improved, the method can be combined with big data, and the comparison of the similarity of the images in the big data range is achieved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and specifically relates to a method and system for comparing the similarity of large image data. Background technique [0002] The existing image anti-infringement awareness and functions are not perfect enough to protect the intellectual property rights of image creators, it is difficult to collect users who may use infringing images on the website, and it is impossible to collect effective evidence. This is because there are many image similarity comparison algorithms at present, but it is impossible to achieve detailed optimization of specific types of images, so that the comparison threshold of similarity can reach around 95%. There is no image comparison tool combined with big data, and the comparison of image similarity within the scope of big data cannot be realized. As a result, the efficiency and accuracy of image comparison are not high. [0003] After retrieval, Chinese Inv...

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
IPC IPC(8): G06K9/62G06F16/55G06F16/951
CPCG06F16/55G06F16/951G06F18/22
Inventor 罗敏刚李中棠朱永佳
Owner SHANGHAI SOFTLINE INFORMATION TECH
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