Salient object-based image retrieval method and system

An image retrieval and significant technology, applied in image analysis, image data processing, instruments, etc., can solve the problems of image retrieval accuracy reduction, achieve the effect of reducing feature calculation complexity, narrowing semantic gap, and reducing complexity

Inactive Publication Date: 2017-10-24
NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP +1
View PDF5 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Aiming at the defects of the prior art, the purpose of the present invention is to solve the problem that in the existing retrieval methods, when the image semantic categories are the sam

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
  • Salient object-based image retrieval method and system
  • Salient object-based image retrieval method and system
  • Salient object-based image retrieval method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] In order to make the object, technical solution and advantages of the present invention clearer, 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, not to limit the present invention.

[0035] figure 1It is a schematic flowchart of an image retrieval method based on image salient objects provided by an embodiment of the present invention; it includes steps S101 to S104.

[0036] S101. Determine a region where a salient object in the query image is located by performing saliency detection on the query image containing the salient object.

[0037] Specifically, by performing multi-scale saliency detection on the query image containing salient objects, superpixel segmentation is performed on the query image at each scale, and each segmented block is a superpixel, and the multi-scale...

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 salient object-based image retrieval method and system. The method comprises the steps of performing saliency detection on a query image containing a salient object to determine a region where the salient object of the query image is located; determining visual features of the region where the salient object of the query image is located; determining a semantic type of the salient object of the query image; performing similarity measurement on the visual features of the salient object of the query image and visual features of salient objects of images with the same semantic type in an image library, and determining the images, meeting a condition that the similarity between the images and the query image is greater than a similarity threshold, in the image library. According to the method and the system, the image retrieval is carried out through the visual features of the region where the salient object of the image is located, so that the background interference is avoided; by determining the semantic type of the salient object of the query image, the images with different semantic types in the image library are filtered, so that the semantic gap of the image retrieval is reduced, the image retrieval complexity is lowered, and the image retrieval accuracy is further improved.

Description

technical field [0001] The invention belongs to the field of image retrieval, and more particularly relates to an image retrieval method and system based on salient objects. Background technique [0002] With the sharp increase in the amount of available image data, the application requirements for image retrieval continue to increase. How to quickly and effectively realize the retrieval of objects of interest from massive image data has been a research hotspot in the field of computer vision in recent years. It is widely used in medicine, remote sensing, social media, e-commerce, transportation, criminal investigation and other fields. Content-based image retrieval can overcome the shortcomings of purely text-based image retrieval in terms of subjectivity and ambiguity, and the description and extraction of image content are the most critical factors that determine the performance of content-based image retrieval. An image mainly includes two parts, the salient object and ...

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): G06F17/30G06K9/62G06T7/136
CPCG06F16/5838G06T7/136G06F18/22
Inventor 吴金亮王港陈金勇程起敏涂丛欢李森
Owner NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
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