A privacy-preserving index generation method for massive image retrieval

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, and protect the security of user privacy information while ensuring retrieval performance. 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 reasonable utilization and effective management of image / video resources, content-based massive 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 retrieval performance,...

AI Technical Summary

Problems solved by technology

Obviously, although encryption can ensure the security of image content, the existing image retrieval technology cannot directly retrieve encrypted images.

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