Publication | Closed Access
Private Content Based Image Retrieval
96
Citations
12
References
2008
Year
Unknown Venue
Image AnalysisInformation RetrievalData ScienceEngineeringPattern RecognitionImage RetrievalContent Level AccessData PrivacyPrivate ContentImage DatabasePrivate Information RetrievalComputer ScienceIndexing SchemeContent-based Image RetrievalImage SearchData ManagementPerceptual HashingComputer Vision
For content level access, very often database needs the query as a sample image. However, the image may contain private information and hence the user does not wish to reveal the image to the database. Private Content Based Image Retrieval (PCBIR) deals with retrieving similar images from an image database without revealing the content of the query image — not even to the database server. We propose algorithms for PCBIR, when the database is indexed using hierarchical index structure or hash based indexing scheme. Experiments are conducted on real datasets with popular features and state of the art data structures. It is observed that specialty and subjectivity of image retrieval (unlike SQL queries to a relational database) enables in computationally efficient yet private solutions.
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