Image retrieval method combining visual saliency and phrases

An image retrieval and remarkable technology, applied in the field of image processing, can solve problems such as unsatisfactory requirements, understand image semantics, etc., and achieve good retrieval results

Inactive Publication Date: 2015-07-22
SHANDONG INST OF BUSINESS & TECH
View PDF5 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For this reason, image retrieval technology has emerged as the times require and has achieved great development. From the earliest retrieval based on manual annotation of images to the current retrieval based on image content, the accuracy and efficiency of image retrieval have also been significantly improved, but it is still not possible. satisfy people's demands
The crux of the problem is that there is no way to make a computer understand image semantics exactly like a human.

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 combining visual saliency and phrases

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] In order to make the objects and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0019] Such as figure 1 As shown, the embodiment of the present invention provides an image retrieval method combining visual salience and phrases, including the following steps:

[0020] S1. Input a query image, decode the image into a YUV color space, and divide the query image into several superpixel units by performing K-means clustering on pixels in the YUV color space;

[0021] S2. Perform measure calculation on each superpixel unit of the segmented image to obtain the measure values ​​of different parameters of the query image. The measure calculation includes the calculation of color independence measure, color space distribution measur...

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 combining visual saliency and phrases. The image retrieval method comprises the following steps that a search image is input and decoded into a YUV color space, and K-means clustering is conducted on pixels of the YUV color space, so that the image is divided into multiple superpixel units; likelihood computation is conducted on each superpixel unit of the divided image, and four obtained likelihoods are fused, and then the saliency map of the superpixel precision is obtained; bilateral Gaussian filtering is conducted, an image saliency map of the pixel precision is obtained; self-adaptive threshold segmentation is conducted on the image saliency map, and a binary image with a prominent target portion is obtained; a dictionary is established, vision words of an image salient region are extracted, and image description is generated; the image similarity between the search image and each image in a image base is calculated. By the adoption of the image retrieval method, the salient region in the image can be more accurately reflected, the visual saliency and the phases are well combined, and the retrieval effect is good.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an image retrieval method combining visual salience and phrases. Background technique [0002] With the rapid development and application of computer, network and multimedia technology, the number of digital images is increasing at an alarming rate. How to quickly and efficiently find the images people need from the massive digital image collection has become an urgent problem to be solved. For this reason, image retrieval technology has emerged as the times require and has achieved great development. From the earliest retrieval based on manual annotation of images to the current retrieval based on image content, the accuracy and efficiency of image retrieval have also been significantly improved, but it is still not possible. satisfy people's demands. The crux of the problem is that there is currently no way to make a computer understand image semantics exactly like a human. If...

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): G06F17/30
Inventor 乔小燕宫召华孔凡秋于永胜刘重阳
Owner SHANDONG INST OF BUSINESS & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap