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Picture automatic sorting method, picture processing method and devices thereof

A classification method and image technology, applied in the field of image processing, can solve the problems of waste of manpower, material resources and economic costs, easy fatigue, low classification efficiency, etc.

Active Publication Date: 2014-02-12
ALIBABA GRP HLDG LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although this method is simple and convenient, it needs to waste a lot of manpower, material resources and economic costs, and the classification efficiency is low, especially when facing a large number of pictures.
Moreover, the manual discrimination method is prone to fatigue due to repeated mechanical work, resulting in inaccurate classification, which cannot meet the needs of their respective practical applications.

Method used

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  • Picture automatic sorting method, picture processing method and devices thereof
  • Picture automatic sorting method, picture processing method and devices thereof
  • Picture automatic sorting method, picture processing method and devices thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0075] see figure 1 , which shows the flow of the automatic picture classification method in Embodiment 1 of the present application. This example includes:

[0076] Step S101: receiving pictures to be classified;

[0077] The picture to be classified is the picture source that the embodiment of the present application prepares for classification processing. The picture source can be an independent picture received through the network, or it can be a picture that is pre-cached in the picture library. The embodiment of the present application treats the classification The source of the pictures is not restricted in any way. When receiving pictures to be classified, only one picture can be received at a time, or multiple pictures can be received at a time, which depends on the processing capability of the picture classifier and the requirements for the work efficiency of the picture classifier.

[0078] Step S102: Read the feature categories in the feature library;

[0079] ...

Embodiment 2

[0086] In order to further illustrate the technical solution of the present application, a more specific example will be described below. In this embodiment, the feature categories include: picture background, picture foreground, picture text, and picture characters. The preset feature data corresponding to the picture background feature category is background color number and background color, and the feature data of the picture foreground is the foreground object. The number, the position of the foreground object, the feature data corresponding to the text in the picture are the position of the text area, the size of the text area, and the content of the text, and the feature data corresponding to the person in the picture are the number of faces, the position of the face, and the skin color of the face. These feature categories and the values ​​of the feature data corresponding to the feature categories have been pre-stored in the feature library.

[0087] see figure 2 , ...

Embodiment 3

[0115] The above embodiments describe the method of the present application in detail, and accordingly, the present application also provides a device for automatically classifying pictures. see Figure 4 , which shows a structural block diagram of an automatic picture classification device according to Embodiment 3 of the present application. The device embodiment 400 includes: a receiving unit 401, a reading unit 402, an extracting unit 403, a matching unit 404, and a classification unit 405, wherein:

[0116] A receiving unit 401, configured to receive pictures to be classified;

[0117] A reading unit 402, configured to read feature categories in the feature library;

[0118] An extraction unit 403, configured to extract feature data of the picture to be classified according to the read feature category;

[0119] A matching unit 404, configured to match the extracted image feature data with preset feature data corresponding to the feature category;

[0120] The classif...

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Abstract

The embodiment of the invention discloses a picture automatic sorting method comprising the following steps of receiving pictures to be sorted; reading feature categories in a feature library; extracting feature data of the pictures to be sorted according to the feature categories; matching the extracted feature data with corresponding preset feature data of the feature categories, and sorting the pictures to be sorted, of which the feature data can be matched with, into a category. The embodiment of the invention further provides a picture processing method based on the picture sorting, a picture automatic sorting device and a picture processing device based on the picture sorting. The embodiment of the invention improves the picture sorting efficiency and accuracy.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular to an automatic classification method for massive images, an image processing method based on image classification, and respective corresponding devices. Background technique [0002] With the development of Internet technology, the massive increase in information, network pictures and picture data are also growing rapidly. As an important information source (carrier), pictures usually require centralized storage, processing and some personalized applications. However, these pictures often come from different sources, in different formats, and in different picture forms. In order to meet the normal utilization of pictures, it is often necessary to classify these massive pictures for differentiated management (processing). [0003] The picture classification method in the prior art adopts a manual discrimination mechanism, that is, a large number of pictures ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06K9/46G06K9/62
CPCG06F16/5838G06F16/5846
Inventor 贾梦雷王永攀郑琪
Owner ALIBABA GRP HLDG LTD
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