Image classification method, image classification device, image retrieval method and image retrieval device

A classification method and image classifier technology, applied in instruments, computing, electrical digital data processing, etc., can solve the problems of limited image information, inaccurate classification results, insufficient accuracy, etc., to improve accuracy, enhance completeness, The effect of accurate characterization and error elimination

Inactive Publication Date: 2013-07-03
ALIBABA GRP HLDG LTD
View PDF3 Cites 39 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Most of the existing image classification methods classify images based on the physical characteristics of images such as color, shape, texture and spatial position, which can provide effective classification methods, but because they almost completely rely on The physical characteristics of the image, and the image information described by the physical characteristics is limited, so the problem of insufficient accuracy will inevitab...

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 classification method, image classification device, image retrieval method and image retrieval device
  • Image classification method, image classification device, image retrieval method and image retrieval device
  • Image classification method, image classification device, image retrieval method and image retrieval device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] In order to make the above objectives, features and advantages of the application more obvious and understandable, the application will be further described in detail below in conjunction with the drawings and specific implementations.

[0057] One of the core concepts of the embodiments of this application is to add semantic representation multiple sets to construct an image classifier on the basis of the original physical features. Since the semantic representation multiple sets can describe the semantic attributes of an image, this application can be used in the original physical features. Based on the described image information, the completeness of the description of the image information is enhanced, so that the image classifier has more accurate feature description capabilities and error elimination capabilities. In this way, the image classification process of the present application is a process of classifying the image classifier based on the physical characterist...

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 provides an image classification method, an image classification device, an image retrieval method and an image retrieval device, wherein the image classification method concretely comprises the following steps that physical characteristics of images to be classified are extracted; the images to be classified are subjected to semantic annotation to obtain corresponding annotation words; by aiming at the annotation words of the images to be classified, the annotation words are matched with semantic words in a semantic network, and in addition, semantic characterization polybasic groups are generated according to the semantic characterization corresponding to the successfully matched semantic words; semantic words and a plurality of corresponding semantic characterizations are stored in the semantic network, and the semantic characterizations are described by physical characteristics; and characteristic vectors consisting of the physical characteristics of the images to be classified and the semantic characterization polybasic groups are input into an image classifier, and corresponding classification results are output, wherein the image classifier is a classifier obtained according to the image sample training under each image type, and the physical characteristics and the arity of the semantic characterization polybasic groups are identical in the training and classification process. The methods and the devices provided by the invention have the advantage that the image classification accuracy can be improved.

Description

Technical field [0001] This application relates to the technical field of image information processing, in particular to an image classification method and device, and an image retrieval method and device. Background technique [0002] At present, with the rapid development of modern electronic computer technology and networks, huge and diverse image information continues to appear, and images are used more and more widely in all walks of life, which promotes the further development of image information processing. Existing images are widely distributed on the Internet, lack of effective organization, and it is difficult to achieve the purpose of resource sharing. Therefore, how to find the information you need from so many image information is a major challenge to image information processing technology. [0003] The image classification method is an image processing method that distinguishes different types of targets according to the different characteristics reflected in the i...

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): G06F17/30
Inventor 贾宇
Owner ALIBABA GRP HLDG 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