Image annotation method and device thereof

A technology for image annotation and image input, which is applied in the fields of instruments, computing, and electrical digital data processing, etc. It can solve the problems of heavy user burden, low efficiency, and low accuracy of image annotation, and achieve the effect of improving efficiency and accuracy

Active Publication Date: 2013-01-16
FUJITSU LTD
View PDF2 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] However, in the process of realizing the present invention, the inventors found that the defects of the prior art are: at present, due to the distance between the low-level features of the image and the high-level semantics, the accuracy of image annotation is low; and if only human-computer interaction or manual methods are used to Annotating images is inefficient and burdens users heavily

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 annotation method and device thereof
  • Image annotation method and device thereof
  • Image annotation method and device thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] In order to make the object, technical solution and advantages of the present invention clearer, the embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings. Here, the exemplary embodiments and descriptions of the present invention are used to explain the present invention, but not to limit the present invention.

[0030] An embodiment of the present invention provides an image labeling method, figure 1 It is a flow chart of the image labeling method of the embodiment of the present invention. Such as figure 1 As shown, the image annotation method includes:

[0031] Step 101, obtaining an initial label set including multiple labels for the input image, wherein the accuracy of representing the semantics of the input image is determined according to the multiple labels;

[0032] Step 102, calculating the similarity based on the label set between the label set of the input image and the label set of th...

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 embodiment of the invention provides an image annotation method and a device thereof. The image annotation method comprises the steps that an initial label set comprising a plurality of labels is obtained for an input image; the label set based similarity degree between the label set of the input image and a label set of a comparison image stored in a data base is calculated; the label set based similarity degree and the vision based similarity degree are subjected to consolidation, so as to obtain the consolidated similarity degree between the input image and the comparison image; and the label set of the input image is updated based on the consolidated similarity degree. According to the embodiment of the invention, low level characteristics and high level semantics of the image can be considered at the same time; the precision of image annotation can be improved; the automatic label annotation is realized; and the annotation efficiency is improved.

Description

technical field [0001] The invention relates to the field of image classification and retrieval, in particular to an image labeling method and device thereof. Background technique [0002] With the development of computer networks and multimedia technologies, the amount of multimedia information available on the Internet has also grown very rapidly. While the surge of multimedia information provides users with rich resources, how to quickly and effectively obtain the resources of interest from the massive information also brings great challenges to researchers. Therefore, image classification and retrieval technology has been paid more and more attention. [0003] Content-Based Image Retrieval (CBIR, Content-Based Image Retrieval) technology has been extensively studied since it was proposed in the 1990s. Other images that are visually similar can be retrieved by indexing the image's own visual content features (such as underlying features such as color, texture, shape, an...

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 曹琼刘汝杰于浩
Owner FUJITSU LTD
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