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Method for detecting approximately repeated image

A near-repeat, image detection technology, applied in the field of near-repeat image detection, to achieve the effect of improving detection efficiency, fast and effective near-repeat image detection

Active Publication Date: 2017-04-19
INST OF AUTOMATION CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The near-duplicate images in the network environment include more and more significant image transformations, such as: text embedding, image cropping and splicing, etc. These transformations have significantly improved the image appearance, and have brought great benefits to the detection of network near-duplicate images. challenge

Method used

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  • Method for detecting approximately repeated image
  • Method for detecting approximately repeated image

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Embodiment Construction

[0046] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention, and are not intended to limit the protection scope of the present invention.

[0047] The method of the present invention is not limited by specific hardware and programming language, and the method of the present invention can be realized by writing in any language. The present invention adopts a computer with a 2.7G Hz central processing unit and 8G byte memory, and realizes the method of the present invention with Matlab language.

[0048] The schematic flow chart of the present invention's approximate duplicate image detection is as follows figure 1 As shown, its methods include:

[0049] Step 1: extract and describe the network features of symmetrical hierarchical hash coding for the image to be matched (i.e., the...

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Abstract

The invention discloses a method for detecting an approximately repeated image. The method comprises: step one, symmetric hierarchy hash coding network feature extraction and description are carried out on to-be-matched images to obtain image features for constructing a locality sensitive hash index structure; step two, on the basis of the image features obtained at the step one, a locality sensitive hash index structure with a balanced load is constructed; and step three, a symmetric convolution neural network feature extraction is carried out on an inquired image and a corresponding hash code of the inquired image is calculated, correlation of the to-be-matched images are ranked based on the locality sensitive hash index structure with the balanced load constructed at the step two, and an image with the highest correlation is selected to be an approximately repeated image. Therefore, approximately repeated image detection can be carried out rapidly and effectively.

Description

technical field [0001] The invention relates to the field of image detection, in particular to a method for detecting approximately repeated images. Background technique [0002] With the rapid development of multimedia and Internet technology, the number of images on the Internet has exploded. Compared with text information, images based on visual information are more vivid and easy to understand. This advantage makes digital images widely used, such as medical images, news images, trademark images and so on. Images on the Internet often have such a phenomenon: by using image search engines such as Google or Baidu, we will find that an original digital image often has many similar images. This phenomenon has caused a huge waste of Internet storage and bandwidth resources, and also brought problems such as image infringement. Therefore, an efficient near duplicate image detection (Near Duplicate Image Detection, NDID) algorithm is particularly important. [0003] The prob...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06K9/62
CPCG06F16/5838G06F18/22G06F18/214
Inventor 胡卫明范亚博兴军亮
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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