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

Image retrieval method and image retrieval system

An image retrieval and picture technology, applied in the field of information retrieval, can solve problems such as semantic similarity, failure to meet user needs well, semantic gap, etc., and achieve the effects of flexible configuration, improved performance, and improved accuracy

Inactive Publication Date: 2013-12-25
GUANGDONG TUTUSOU NETWORK TECH
View PDF7 Cites 47 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, although image content features can capture the visual similarity of pictures, visual similarity does not necessarily mean semantic similarity, that is, there is a "semantic gap" problem
Therefore, text-based image retrieval and content-based image retrieval have their own advantages and disadvantages, and neither can meet user needs well.

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 retrieval method and image retrieval system
  • Image retrieval method and image retrieval system
  • Image retrieval method and image retrieval system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] In order to make the purpose, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, and do not limit the protection scope of the present invention.

[0021] The image retrieval method of the present invention, such as figure 1 shown, including steps:

[0022] Step S101, receiving the query image and / or query text submitted by the user;

[0023] Step S102, extracting various content features of the query picture, and performing word segmentation on the query text;

[0024] Step S103, comparing the various content features of the query picture with the corresponding content features of each picture in the database, sorting the pictures in the database according to similarity, and obtaining lists of content similar...

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 retrieval method and an image retrieval system. The method includes for given query texts and / or query images, acquiring multiple similarity ordered lists of in-base images according to text relevance and image content relevance, and then returning a comprehensive ordered list by combining the acquired ordered lists and comprehensively considering the text similarity and the image content similarity. Through the multi-mode mixed retrieval mechanism, shortcomings of conventional single-mode retrieval mechanisms are overcome, respective advantages of a text retrieval method and an image content retrieval method are developed, and accuracy of image retrieval is greatly improved. Since only ordering results of single retrieval models are fused, the single retrieval models can be increased, decreased and replaced conveniently, text and image content feature retrieval models are configured flexibly, and performance of the image retrieval system is improved.

Description

technical field [0001] The invention relates to the technical field of information retrieval, in particular to an image retrieval method and system. Background technique [0002] Image retrieval has been a hot research topic in the multimedia field for nearly a decade. The image retrieval system is a type of professional search engine system that provides users with retrieval services for related graphic and image data on the Internet according to the descriptive text or visual characteristics of the image (ie, image content). For example, a series of search engines such as Google and Baidu can provide image search services. [0003] Traditional image retrieval relies on the descriptive text of pictures, and generally searches pictures in databases based on keywords. However, in many cases, text keywords cannot accurately describe the visual characteristics of images (such as a specific pattern), so retrieval technologies based on image content have emerged. At present, 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
IPC IPC(8): G06F17/30
Inventor 钟海兰
Owner GUANGDONG TUTUSOU NETWORK TECH
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com