Privacy-protection index generation method for mass image retrieval

An image retrieval and privacy protection technology, which is applied in the field of privacy protection index generation for massive image retrieval, and can solve problems such as inability to retrieve images.

Active Publication Date: 2014-08-27
数安信(北京)科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Obviously, although encryption can ensure the security of image content, the

Method used

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  • Privacy-protection index generation method for mass image retrieval
  • Privacy-protection index generation method for mass image retrieval
  • Privacy-protection index generation method for mass image retrieval

Examples

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Embodiment Construction

[0066] The following describes the specific implementation process of the present invention in conjunction with the drawings in the specification and the above description:

[0067] (1) Extract the SIFT feature and HSV color histogram feature from the images in the massive image library to obtain two feature vectors;

[0068] (2) Use formulas (2) to (4) to perform dimensionality reduction on the obtained SIFT feature and HSV color histogram feature to obtain the feature vector after dimensionality reduction;

[0069] (3) Carry out hierarchical clustering on the features after dimensionality reduction to form a vocabulary tree, and use formula (5) to count the image inverted index;

[0070] (4) Construct the index of each image in the image library through statistical methods, use formulas (6) to (9) to encrypt the index, and store the privacy protection index corresponding to the image in the image feature library.

[0071] (5) When querying, extract the SIFT feature and HSV color histo...

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Abstract

The invention discloses a privacy-protection index generation method for mass image retrieval, relates to the privacy protection problem in mass image retrieval and involves with taking privacy protection into image retrieval. The method is used for establishing an image index with privacy protection, and therefore, the safety of the privacy information of a user can be protected while the retrieval performance is guaranteed. The method comprises the steps of firstly, extracting and optimizing SIFT (Scale Invariant Feature Transform) and HSV (Hue, Saturation and Value) color histogram, performing feature dimension reduction by use of a use of a manifold dimension reduction method of locality preserving projections, and constructing a vocabulary tree by using the dimension-reduced feature data. The vocabulary tree is used for constructing an inverted index structure; the method is capable of reducing the number of features, increasing the speed of plaintext domain image retrieval and also optimizing the performance of image retrieval. The method is characterized in that privacy protection is added on the basis of a plaintext domain retrieval framework and the inverted index is double encrypted by use of binary random codes and random projections, and therefore, the image index with privacy protection is realized.

Description

Technical field [0001] The invention relates to the privacy protection problem in mass image retrieval, integrates privacy protection into image retrieval, and aims to establish an image index with privacy protection, which can ensure the retrieval performance while protecting the safety of user privacy information. Background technique [0002] With the rapid development of modern information technology, especially the continuous promotion of large-scale new applications such as cloud computing and social media in recent years, the amount of data such as images / videos has increased rapidly. As an important means of rational use and effective management of image / video resources, the content-based image retrieval technology (CBIR, Content-based Image Retrieval) has therefore become a research hotspot in the field of image retrieval. [0003] However, the existing image search technology focuses on how to design an effective mechanism to improve the performance of retrieval, and ofte...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06K9/46
CPCG06F16/5838G06F21/10G06F21/6245
Inventor 卓力成博白宇彭远帆张燕张菁
Owner 数安信(北京)科技有限公司
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