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

Image retrieval method and system

An image retrieval and image technology, applied in the field of image processing, can solve the problems of increased bandwidth overhead or space capacity overhead, easy loss or damage, lack of encryption protection, etc., to achieve the effect of reducing space complexity, small impact, and fast algorithm speed

Active Publication Date: 2017-05-24
开易(北京)科技有限公司
View PDF7 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In terms of transmission and storage, these two marking methods increase bandwidth overhead or space capacity overhead on the one hand, and are easily lost or damaged on the other hand.
In addition, most of the marked information lacks encryption protection, and the marked information is not safe and easy to leak

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] Such as figure 1 As shown, the present invention provides a kind of image retrieval method, comprises the steps:

[0043] S101. Encrypt the annotation information into ciphertext data and embed it into the original image, and use the reversible watermark algorithm to use the replaced original pixels as watermarks to generate the annotation image;

[0044] Digital watermarking technology is a method to embed some identification information (namely watermark) into the digital carrier without affecting the use value of the original carrier. According to the robustness of digital watermark against attack, it can be divided into two categories: robust digital watermark and fragile digital watermark. According to the reversibility of digital watermarking, watermarking can be divided into two types: reversible digital watermarking and irreversible digital watermarking. Among them, the reversible digital watermarking requires not only the complete extraction of the watermark ...

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 system. The method comprises the steps that an original image is embedded after annotation information is encrypted into ciphertext data, and substituted original pixels are used as a watermark generation annotation image through a reversible watermarking algorithm; and the ciphertext data in the annotation image is extracted and decrypted, the decryption result is matched with retrieval conditions to acquire a target annotation image, a pixel value of the original image corresponding to the target annotation image is calculated, and a watermark is output after being extracted. The algorithm has a small influence on the original image, and the original image can be restored in one hundred percent at a receiving end; meanwhile, the algorithm is high in speed and adaptive to a large quantity of sample annotation scenes, so that space complexity is lowered; the encrypted annotation information is prevented from being tampered, and therefore the validity, relevancy and manageability of the annotation information are improved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an image retrieval method and system. Background technique [0002] With the rapid development of information and communication technology, all kinds of image data are exploding exponentially. How to effectively manage massive image data has become an urgent problem to be solved. With the development of pattern recognition and machine learning theory and algorithms, the automatic management of images has been realized to a certain extent. Currently, there are mainly two image management methods: image machine learning and traditional image annotation. Among them, image machine learning technology mainly uses a large number of labeled samples to train a stable classification model to achieve a series of unknown image detection, classification and recognition; while the traditional image annotation method creates an auxiliary file corresponding to the image ...

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): G06T1/00
CPCG06T1/0021
Inventor 刘鹏张世亮
Owner 开易(北京)科技有限公司
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