Bag-of-word model-based image security retrieval method for cloud environment

A bag of words model, cloud environment technology, applied in computer security devices, character and pattern recognition, instruments, etc., can solve the problems of generality and accuracy can not be balanced, encryption method is irrelevant, etc., to achieve universality, high retrieval The effect of high efficiency and safety

Active Publication Date: 2017-11-03
WUHAN UNIV
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  • Claims
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AI Technical Summary

Problems solved by technology

[0004] The present invention aims to propose a ciphertext domain retrieval scheme based on the bag-of-words model in a cloud environment, which can directly retrieve encrypted features without decrypting ciphe...

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  • Bag-of-word model-based image security retrieval method for cloud environment
  • Bag-of-word model-based image security retrieval method for cloud environment
  • Bag-of-word model-based image security retrieval method for cloud environment

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Embodiment Construction

[0056] Taking the holiday database as an example, combined with the attached figure 1 , 2,3,4,5, describe the implementation steps of the present invention in detail:

[0057] 1. Processing by a trusted third party (offline operation), such as figure 2 shown;

[0058] Step 1a: first construct a bag-of-words model, extract the sift feature N of each image in the training image library, and use the k-means algorithm to cluster all feature points to generate a k-dimensional visual dictionary;

[0059] Step 1b: Randomly construct an orthogonal projection matrix Q and project all sift features (Q*N), select the projection data belonging to the same cluster center and calculate the median value of each dimension data to obtain the median value Matrix T.

[0060] 2. Processing at the content owner’s end

[0061] Step 2a: Obtain necessary information such as the visual dictionary, orthogonal projection matrix Q, and median matrix T from a trusted third party in a safe manner, the...

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Abstract

The invention belongs to the field of multimedia information security protection and particularly relates to a bag-of-word model-based image security retrieval method for a cloud environment. The method can be used for security retrieval of ciphertext images. A content owner extracts feature operation data of the images based on a bag-of-word model, performs orthogonal decomposition to obtain a password operation domain and a feature extraction operation domain, performs encryption operation and feature extraction operation, superposes operation results in a same data domain through orthogonal inverse transformation to form encrypted features, and uploads the encrypted features to a cloud server. When a user needs to retrieve the images, the cloud server can calculate out the features of the ciphertext images in the data domain of feature extraction by directly performing orthogonal decomposition on ciphertext features without performing decryption; the features of the ciphertext images and the features of the images requested to be retrieved are subjected to similarity measurement; and the images with the highest similarity degree are the to-be-retrieved images. The retrieval method does not depend on a specific encryption method, is high in security and has higher universality; and the bag-of-word model-based retrieval method has very high retrieval precision.

Description

technical field [0001] The invention belongs to the field of multimedia information security protection, and in particular relates to an image security retrieval method based on a bag-of-words model combined with an orthogonal decomposition model, which can be used for secure retrieval of ciphertext images. Background technique [0002] With the widespread application of digital cameras and smart phones and the rise of cloud computing, multimedia data such as images is showing an explosive growth trend, and cloud storage of image data has become a trend. However, the cloud computing platform is also facing severe security problems, mainly in the separation of the data owner and the data. The data outsourced to the cloud is completely out of the direct physical control of the owner, and will face external network attackers and untrustworthy cloud services. Provider CSP (Cloud Service Provider) double threat. Such service nature may lead to data leakage and misuse, thus causi...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F21/62G06K9/46G06K9/62
CPCG06F16/583G06F21/6209G06V10/44G06F18/22
Inventor 徐彦彦龚佳颖
Owner WUHAN UNIV
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