Supercharge Your Innovation With Domain-Expert AI Agents!

Distributed image analysis method and system

An image analysis and distributed technology, applied in still image data clustering/classification, still image data retrieval, still image data indexing, etc., can solve the problems of large storage space consumption, difficult analysis, slow retrieval speed, etc. The effect of analytical skills

Pending Publication Date: 2020-12-25
深圳市天维大数据技术有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] When the traditional nearest neighbor algorithm deals with large-scale image analysis problems, the feature dimension of the sample data can reach tens of thousands of dimensions. Such a "dimension disaster" will lead to the problems of large storage space consumption and slow retrieval speed. It is more difficult to analyze one of the images

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
  • Distributed image analysis method and system
  • Distributed image analysis method and system
  • Distributed image analysis method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] see figure 1 , figure 1 A schematic diagram of the steps of a distributed image analysis method provided by an embodiment of the present invention is as follows:

[0030] Step S100, acquiring multiple candidate images and classifying and marking them;

[0031] Specifically, multiple images are selected from databases of multiple nodes as candidate images, and the candidate images are classified and marked.

[0032] In some embodiments, it is assumed that there are N nodes in total, each node corresponds to a database Ni, and Ni represents the database of the i-th node, the databases in different nodes are independent of each other, and different nodes do not want to share information, There are n samples in each database, and there are M types of labels in each database, and different labels are marked on different samples.

[0033] Step S110, determining an index image among multiple candidate images and performing feature extraction to obtain feature values;

[00...

Embodiment 2

[0041] see figure 2 , figure 2 A schematic diagram of detailed steps of a distributed image analysis method provided by an embodiment of the present invention is as follows:

[0042] Step S200, acquiring multiple candidate images and classifying and marking them;

[0043] Specifically, multiple images are selected from databases of multiple nodes as candidate images, and the candidate images are classified and marked.

[0044] In some embodiments, it is assumed that there are N nodes in total, each node corresponds to a database Ni, and Ni represents the database of the i-th node, the databases in different nodes are independent of each other, and different nodes do not want to share information, There are n samples in each database, and there are M types of labels in each database, and different labels are marked on different samples.

[0045] Step S210, performing feature extraction on all images in the database to obtain the feature value of each image, and the candida...

Embodiment 3

[0081] see image 3 , image 3 A schematic diagram of a distributed image analysis system module provided by an embodiment of the present invention, which includes:

[0082] An acquisition module, configured to acquire multiple candidate images and classify and mark them;

[0083] An extraction module, configured to determine an index image among multiple candidate images and perform feature extraction to obtain feature values;

[0084] The similarity comparison module is used for comparing the similarity with other images in the database according to the feature value of the index image and sorting and outputting;

[0085] The output module is used to determine the similar image according to the output result, and decode the similar image to generate an image file.

[0086] It also includes a memory, a processor and a communication interface, the memory, the processor and the communication interface are electrically connected to each other directly or indirectly, so as to ...

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 distributed image analysis method and system, and relates to the field of image analysis processing. The distributed image analysis method comprises the steps of obtaining a plurality of candidate images and performing classification marking; determining an index image in the plurality of candidate images and carrying out feature extraction to obtain a feature value; performing similarity comparison on the feature value of the index image and other images in a database, and performing sorting and outputting; and determining a similar image according to the output result, and decoding the similar image to generate an image file. Index images can be selected from a plurality of candidate image sets in a database one by one, feature extraction is carried out on the index images, comparison and sorting are carried out on every two adjacent candidate images, the purpose of distributed image analysis is achieved, and the analysis capacity is improved. In addition, the invention also provides a distributed image analysis system. The system comprises an acquisition module, an extraction module, a similarity comparison module and an output module.

Description

technical field [0001] The present invention relates to the field of image analysis and processing, in particular to a distributed image analysis method and system. Background technique [0002] With the continuous development of social networks, e-commerce, mobile Internet, etc., the scale of data storage and processing is getting larger and larger, and stand-alone systems can no longer meet the growing needs. Internet companies such as Google and Alibaba have successfully spawned the two hot fields of cloud computing and big data. Both cloud computing and big data are applications built on distributed storage. The core of cloud storage is the back-end large-scale distributed storage system. Big data not only needs to store massive amounts of data, but also needs to analyze these data through appropriate frameworks and tools to obtain useful parts. If there is no distributed storage, it will Not to mention the analysis of big data. [0003] Although the research on distri...

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 Applications(China)
IPC IPC(8): G06F16/583G06F16/51G06F16/55
CPCG06F16/583G06F16/51G06F16/55
Inventor 黄海阳裴来辉黎惟春
Owner 深圳市天维大数据技术有限公司
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