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Image comprehensive similarity analysis method based on description content and image content characteristics

A technology for image content and description content, which is applied in image analysis, image data processing, instruments, etc., and can solve the problem that the comparison method cannot meet the requirements of the correctness of the comparison result.

Active Publication Date: 2019-10-15
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 characteristics
  • Image comprehensive similarity analysis method based on description content and image content characteristics
  • Image comprehensive similarity analysis method based on description content and image content characteristics

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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. The method comprises the steps of extracting the image color information, namely the RGB model and image texture information, in image content feature information; extracting image title content and description content in the image description content feature information, and performing word segmentation processing; converting the RGB model into an HSV model, obtaining an HSV value of the image, and obtaining 24-dimensional feature information of the image color; calculating a gray value of the image in the image texture information; calculating cosine similarity to obtain image content similarity; obtaining features of the image title content and the image description content; calculating cosine similarity of the title contents and the description contents of the two images to obtain similarity of the description contents of the images; calculating image feature similarity; combining the image content features with the image description content features to generate composite features of the image; calculating cosine similarity of the image composite features to obtain similarity of the image composite features; judging whether images are similar or not only when the image feature similarity and the image composite feature similarity are both greater than or equal to the threshold.

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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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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