NDLI: Hierarchical privacy preservation for personalized image retrieval

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Hierarchical privacy preservation for personalized image retrieval

Content Provider	ACM Digital Library
Author	Diao, Mengmeng Li, Zhenwei Zhuo, Li Zhang, Jing
Abstract	With the rapid development of multimedia and Internet technologies, the number of digital images is growing with an amazing speed. Nowadays, more and more researchers pay attention to the personalized image retrieval which has become a hot research topic. However, personalized retrieval must collect user's personal information to provide the retrieval results for different users, and thus this approach inevitably touches the sensitive nerve of user's privacy. This paper will focus on the privacy problem of the personalized image retrieval to study a user's privacy preservation scheme with hierarchical structure. First, user profile is obtained by using user interest model of personalized image retrieval. Then, a hierarchical structure profile is constructed by using the user's profile. Finally, the privacy preservation is imposed into personalized image retrieval. Experimental results show proposed method can preserve the user's personal privacy by selecting the different levels of privacy preservation, as well as meet the needs of users' personalize retrieval.
Starting Page	291
Ending Page	294
Page Count	4
File Format	PDF
ISBN	9781450322522
DOI	10.1145/2499788.2499864
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-08-17
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Privacy preservation Personalized image retrieval User profile Hierarchical structure
Content Type	Text
Resource Type	Article

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