A Secure Image Retrieval Method Based on Combined Orthogonal Decomposition and BoVW
Received date: 2018-01-28
Online published: 2018-03-31
We propose an image security retrieval method combining orthogonal decomposition and bag of visual word model (BoVW) in this paper to solve the problems that existing encryption algorithms for the current encryption domain image retrieval cannot meet the needs of different applications, and the algorithms relying on underlying image generally suffer lower retrieval accuracy. By introducing orthogonal decomposition framework, the image data domain is divided into the encryption domain and the retrieval domain. The encryption operation and feature extraction operation are independent, without interaction between them. In the encryption domain, users can choose any encryption method as needed. In the retrieval domain, the visual word bag model framework is introduced, and the image is represented as the visual word histogram, which reduces the semantic gap between the underlying feature and the high-level semantics, accordingly, improving the retrieval precision. Experimental results show that the proposed method provides higher security and higher retrieval precision than the current encryption domain image retrieval techniques.
ZHAO Xiao, XU Yan-yan, GONG Jia-ying, SONG Fang-zhen . A Secure Image Retrieval Method Based on Combined Orthogonal Decomposition and BoVW[J]. Journal of Applied Sciences, 2018 , 36(2) : 299 -308 . DOI: 10.3969/j.issn.0255-8297.2018.02.009
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