Automatic image labeling method based on Web social media

An image automatic labeling and image technology, applied in the field of automatic image labeling based on Web social media, can solve the problem of not being able to label a large number of network pictures, and achieve the effect of narrowing the semantic gap and quickly labeling

Active Publication Date: 2015-01-07
YANGZHOU RUIFENG INFORMATION TECH CO LTD
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AI Technical Summary

Problems solved by technology

In the past, researchers mainly focused on automatic image labeling from the perspective of machine learning. The automatic image labeling method based on machine learning requires a large number of parameter optimization and complex learning processes, and cannot quickly and effectively label a large number of network pictures.

Method used

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  • Automatic image labeling method based on Web social media
  • Automatic image labeling method based on Web social media
  • Automatic image labeling method based on Web social media

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Embodiment Construction

[0019] The present invention will be further described according to the following specific embodiments

[0020] An image automatic labeling method based on Web social media, the steps are as follows:

[0021] Step 1: First, the randomly selected Web-based image is divided into blocks according to the needs of the setting by the image processing tool. The number of regional blocks obtained after the regional division is 1000, and each regional block is divided into K h It means that h is a natural number less than or equal to 1000;

[0022] Step 2: Then use the R component value, the G component value and the B component value of the color gamut determined by the RGB three primary colors to form a color gamut element, and the color gamut element is expressed as T(L)={T R (L), T G (L), T B (L)},T R (L), T G (L) and T B (L) are respectively expressed as R component value, G component value and B component value, thus obtaining each area block K h The R component attribute,...

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Abstract

An automatic image labeling method based on Web social media comprises the steps of firstly using an image processing tool to divide a Web-based image into blocks according to the set areas required to be divided, then sequentially performing determination on R component attribute, G component attribute and B component attribute of each area block Kh, determining relative transverse displacement attribute and relative longitudinal displacement attribute, determining outline attribute, and finally performing image labeling by adopting a multi-class labeling and classifying method. 'Semantic gaps' can be effectively decreased, and a large amount of network pictures can be quickly and effectively labeled.

Description

technical field [0001] The invention belongs to the technical field of automatic image labeling, and relates to an automatic image labeling method based on Web social media. Background technique [0002] In content-based image retrieval, there is a "semantic gap" between the original underlying features of the image and the deep semantics abstracted by the user. The current method of narrowing the "semantic gap" is not ideal. With the development of Web 2.0, more and more Internet users will attach corresponding text information to describe or explain the pictures when uploading pictures to the Internet. This information plays an important role in analyzing the semantic content of images and mining image retrieval user intentions. In the past, researchers mainly focused on automatic image labeling from the perspective of machine learning. Automatic image labeling methods based on machine learning require a large number of parameter optimizations and complex learning process...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06T7/00
CPCG06F16/5838
Inventor 蔡成委丁智杰丁永华
Owner YANGZHOU RUIFENG INFORMATION TECH CO LTD
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