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  1. Proceedings of the 1st international workshop on Information hiding and its criteria for evaluation (IWIHC '14)
  2. Protection and utilization of privacy information
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Protection and utilization of privacy information
Robust video watermarking for MPEG compression and DA-AD conversion
DCT-OFDM based watermarking scheme robust against clipping attack
A detection method of subliminal channel based on VoIP communication
Audio watermarking based on amplitude modulation and modulation masking
Watermarking based on the difference of discrete cosine transform coefficients and an error-correcting code
Digital watermarking method using LDPC code for clipped image
Reversible data hiding by adaptive modification of prediction errors
High capacity data hiding method in DNA with mutation handling
Salt-and-pepper image watermarking system for IHC evaluation criteria

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Protection and utilization of privacy information

Content Provider ACM Digital Library
Author Babaguchi, Noboru
Abstract Our society has been getting more privacy-sensitive. Diverse information is given by users to ICT systems such as IC cards that can benefit them. The information is stored as so-called big data, and there is concern over privacy violation. Visual information such as images and videos is also considered privacy-sensitive. The growing deployment of surveillance cameras and social network services has caused a privacy problem of information given from various sensors. As image analysis technologies have made considerable progress, many attempts to automatically process flexible privacy protection have been made since 2000, and utilization of privacy information under some restrictions has been taken into account in recent years. This speech addresses the recent progress of privacy protection for visual information, showing our research projects: PriSurv, Digital Diorama (DD), and Mobile Privacy Protection (MPP). Furthermore, we discuss Harmonized Information Field (HIFI) for appropriate utilization of protected privacy information in a specific area.
Starting Page 1
Ending Page 1
Page Count 1
File Format PDF
ISBN 9781450328036
DOI 10.1145/2598908.2614450
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2014-06-03
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Privacy protection Big data Privacy-sensitive
Content Type Text
Resource Type Article
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