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Image Comprehensive Similarity Analysis Method Based on Description Content and Image Content Features

A technology of image content and description content, applied in image analysis, image data processing, instruments, etc., can solve the problem that the comparison method can not meet the requirements of the correctness of the comparison result, and achieve fast feature extraction, accuracy and efficiency. Improved, small footprint effect

Active Publication Date: 2021-08-06
同方知网数字出版技术股份有限公司
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Problems solved by technology

[0003] Since the full-text similarity analysis system for composite publishing has extremely high requirements for the correctness of the image similarity comparison results, the existing comparison methods cannot meet the requirements for the correctness of the comparison results, so it is necessary to develop a system that meets the quality requirements of academic misconduct Image similarity analysis method to achieve the purpose of improving detection efficiency and quality and reducing costs

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  • Image Comprehensive Similarity Analysis Method Based on Description Content and Image Content Features
  • Image Comprehensive Similarity Analysis Method Based on Description Content and Image Content Features
  • Image Comprehensive Similarity Analysis Method Based on Description Content and Image Content Features

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Embodiment Construction

[0026] 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 embodiments and accompanying drawings.

[0027] Such as figure 1 and figure 2 As shown, it is a flow chart of image synthesis similarity analysis method based on description content and image content characteristics and a structural block diagram of the analysis method. The methods include:

[0028] Step 101 extracts image content feature information and image description content feature information;

[0029] Step 102 extracts the image color information in the image content feature information, that is, the RGB model and image texture information; and extracts the image title content and description content in the image description content feature information, and performs word segmentation processing;

[0030] Step 103 converts the RGB model into an HSV model, obtains the HSV value ...

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Abstract

The invention discloses an image comprehensive similarity analysis method based on description content and image content features, comprising: extracting image color information in image content feature information, that is, RGB model and image texture information; extracting image title in image description content feature information Content and description content, word segmentation processing; convert the RGB model to the HSV model, obtain the HSV value of the image, and obtain the 24-dimensional feature information of the image color; calculate the gray value of the image in the image texture information; calculate the cosine similarity, and get Image content similarity; obtain the characteristics of image title content and image description content; calculate the cosine similarity between the title content and description content of two images, and obtain the similarity of image description content; calculate image feature similarity; Combined with image description content features to generate image composite features; calculate the cosine similarity of image composite features to obtain the similarity of image composite features; when both image feature similarity and image composite feature similarity are greater than or equal to the threshold, the image is judged to be similar .

Description

technical field [0001] The invention relates to a method for generating image features in image similarity analysis and a method for generating text features in text similarity analysis. Background technique [0002] In image recognition technology, the usual method is based on OCR recognition technology based on image contextual text matching, which has limitations, because the description of the text cannot accurately express the content characteristics of the image, and cannot meet the requirements of image similarity detection. [0003] Since the full-text similarity analysis system for composite publishing has extremely high requirements for the correctness of the image similarity comparison results, the existing comparison methods cannot meet the requirements for the correctness of the comparison results, so it is necessary to develop a system that meets the quality requirements of academic misconduct An image similarity analysis method to achieve the purpose of improv...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06K9/46G06T7/41
CPCG06T7/41G06V10/56G06F18/22
Inventor 周哲
Owner 同方知网数字出版技术股份有限公司
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