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

Image retrieving method and device

An image retrieval and image technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of low retrieval efficiency and poor retrieval results.

Active Publication Date: 2013-04-17
CHINA MOBILE COMM GRP CO LTD
View PDF4 Cites 35 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The embodiment of the present invention provides an image retrieval method and device, which are used to solve the problems in the prior art that the validity of the retrieval results is poor and the retrieval efficiency is low when the retrieval is based on the image content.

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 retrieving method and device
  • Image retrieving method and device
  • Image retrieving method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0039] figure 2 Shown is a flow chart of the image retrieval method provided in Embodiment 1 of the present invention, which specifically includes the following steps:

[0040] Step S201. Obtain an image to be retrieved submitted by a user, and divide the image to be retrieved into sub-images to obtain multiple sub-images.

[0041] Specifically, various methods in the prior art can be used for sub-graph division, and the image to be retrieved is divided into multiple sub-graphs of the same size rectangle, for example, as image 3 As shown, it is divided into 16 subgraphs of 4×4. Among them, the multiple subgraphs have the same size and are rectangular, which is convenient for subsequent similarity calculation, and is not a strict division condition.

[0042] In the embodiment of the present invention, it is proposed to use the pseudo-quadtree partition method to divide the subgraph, as follows:

[0043]When performing the first-level division, the image is divided into m×n...

Embodiment 2

[0107] In order to more accurately return the image retrieval results required by the user to the user, in Embodiment 2 of the present invention, on the basis of the method in the above-mentioned Embodiment 1, it is proposed to adjust the The weight used when determining the similarity, and based on the adjusted weight, determine the latest similarity between images to determine the scheme of the latest image retrieval results. Such as Figure 5 As shown, it specifically includes the following processing steps:

[0108] Step S501, displaying to the user each retrieval result image in the image retrieval results determined in Embodiment 1 above, and for each retrieval result image, provide the user with the relevance evaluation option of the retrieval result image, so that the user can The resulting image is evaluated for correlation.

[0109] Step S502. Acquire the user's correlation evaluation results for each retrieval result image in the image retrieval results. The corre...

Embodiment 3

[0144] Based on the same inventive concept, according to the image retrieval method provided by the above-mentioned embodiments of the present invention, correspondingly, Embodiment 3 of the present invention also provides an image retrieval device, the structural diagram of which is as follows Figure 6 shown, including:

[0145] A division unit 601, configured to divide the image to be retrieved into sub-images to obtain multiple sub-images;

[0146] An extraction unit 602, configured to perform image feature extraction on each designated sub-image in the plurality of sub-images to obtain a feature vector of each designated sub-image;

[0147] The similarity determining unit 603 is configured to, for each image in the image library, determine the image based on the feature vectors of the sub-images in each sub-image group to be matched and the feature vectors of the specified sub-images of the image The similarity with the image to be retrieved; wherein, the relative positi...

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 retrieving method and device. The method includes that an image to be retrieved is subjected to sub-image division so as to obtain a plurality of sub-images; each appointed sub-image among the plurality of sub-images is subjected to image characteristic extraction to obtain a character vector of each appointed sub-image; according to each image in an image library and on the basis of character vectors of the sub-images in sub-image groups to be matched with the image and character vectors of the appointed sub-images, similarity of the image and the image to be retrieved is determined; and on the basis of the similarity of each image in the image library and the image to be retrieved, a retrieving result of an image corresponding to the image to be retrieved is determined. By means of the image retrieving method and device, effectiveness of the retrieving result and retrieving efficiencies are improved when retrieving is performed on the basis of image contents.

Description

technical field [0001] The present invention relates to the technical field of image retrieval in the technical field of image processing, in particular to an image retrieval method and device. Background technique [0002] With the rapid development of multimedia technology, images, as visual information with rich content and intuitive expression, are increasingly widely used. Due to the characteristics of large amount of image information and low abstraction, how to quickly and efficiently retrieve the image resources needed by users from massive image data has become a new challenge in the field of image processing technology. [0003] Most of the existing image retrieval technologies use text-based image retrieval. The technical idea is to manually annotate the text of the image, such as keywords, titles, and some additional description information, and then use Traditional database management system method for text retrieval. [0004] With the emergence of large-scale...

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): G06F17/30G06K9/64
CPCG06F16/583
Inventor 田卉张俭
Owner CHINA MOBILE COMM GRP 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

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