NDLI: Markov Process Based Retrieval for Encrypted JPEG Images

Content Provider	IEEE Xplore Digital Library
Author	Hang Cheng Xinpeng Zhang Jiang Yu Fengyong Li
Copyright Year	2015
Description	Author affiliation: Coll. of Comput. Sci. & Technol., Shanghai Univ. of Electr. Power, Shanghai, China (Fengyong Li) \|\| Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China (Hang Cheng; Xinpeng Zhang; Jiang Yu)
Abstract	This work presents a retrieval scheme for encrypted JPEG images based on Markov process. In our scheme, the stream cipher and permutation encryption are combined to encrypt JPEG images, which are then uploaded to a database server. After that, the server without knowing the original content can extract features from the transition probability matrices of the AC coefficients of encrypted query image, in which those coefficients are modeled by Markov process. With the multi-class support vector machine (SVM), the features of encrypted query image can be converted into a vector with low dimensionality determined by the number of image categories. The encrypted database images are conducted similarly. After low-dimensional vector representation, the similarity between encrypted query image and database image may be measured by calculating the distance of their corresponding vectors. At the client side, the encrypted images returned by the server are decrypted to the plaintext images using encryption key. The proposed scheme can preserve file compliance and file size for encrypted JPEG images, while providing privacy-preserving image retrieval.
Starting Page	417
Ending Page	421
File Size	234096
Page Count	5
File Format	PDF
e-ISBN	9781467365901
DOI	10.1109/ARES.2015.18
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-24
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Markov process Image retrieval Transform coding image retrieval Feature extraction JPEG Encryption Servers image encryption
Content Type	Text
Resource Type	Article

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