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

Near-duplicate image detection method

A technique of approximate repetition and image detection, applied in the field of computer vision, to achieve the effect of good approximate repetition of image detection results

Inactive Publication Date: 2014-02-19
INST OF AUTOMATION CHINESE ACAD OF SCI
View PDF2 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to propose a method for detecting approximately repeated images suitable for complex transformations, to solve the technical problem of accurately and quickly detecting approximately repeated 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
  • Near-duplicate image detection method
  • Near-duplicate image detection method
  • Near-duplicate image detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0023] The specific hardware and programming language that the method of the present invention runs are not limited, and the method of the present invention can be implemented by writing in any language. The invention adopts a computer with a 1.86G Hz central processing unit and 32G bytes of memory, and uses Matlab language to compile an approximate repeated image detection working program to realize the method of the invention.

[0024] figure 1 It is a flowchart of an effective approximate repeated image detection method proposed by the present invention. Such as figure 1 As shown, the method includes:

[0025] Step 1: Obtain a training image set, and learn multiple independent visual vocabularies from the training image...

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 a near-duplicate image detection method. The method comprises the steps that a training image set is obtained, and according to the images in the training image set, a multi-vision word bank is learned and obtained; based on the learned multi-vision work bank, local characteristics of a to-be-detected image and images in an image database are coded into nonnegative sparse vectors in a nonnegative sparse coding method; via regional integration and spatial combination of the nonnegative sparse vectors, histogram vectors of the to-be-detected image and the images in the image database are obtained; and according to the similarity between tolerance images of the histogram vectors of the to-be-detected image and the images in the image database, an image, near-duplicate to the to-be-detected image, in the image database is output.

Description

Technical field [0001] The present invention relates to the field of computer vision, in particular to a near-duplicate image detection (Near-duplicate Image Detection) technology. Background technique [0002] With the rapid development of multimedia technology and related electronic processing technology, as an effective way of dissemination of information, digital images are experiencing a period of rapid development. The number of images on the Internet is exploding, which is inevitable. Approximately repeated images, which bring great inconvenience to information storage and user retrieval. Therefore, approximate repeated image detection has attracted the interest of some scholars. Through the research of similar repeated image detection, on the one hand, image copyright protection can be realized. On the other hand, if it is applied in an image search engine, it can be used to filter out the repeated images in the search results, thereby improving the user's search quality...

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): G06K9/62
Inventor 胡卫明周闪兴军亮
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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