A Review on Visual Privacy Preservation Techniques for Active and Assisted Living
This paper reviews the state of the art in visual privacy protection techniques, with particular attention paid to techniques applicable to the field of active and assisted living (AAL). A novel taxonomy with which state-of-the-art visual privacy protection methods can be classified is introduced. P...
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creator | Ravi, Siddharth Climent-Pérez, Pau Florez-Revuelta, Francisco |
description | This paper reviews the state of the art in visual privacy protection
techniques, with particular attention paid to techniques applicable to the
field of active and assisted living (AAL). A novel taxonomy with which
state-of-the-art visual privacy protection methods can be classified is
introduced. Perceptual obfuscation methods, a category in the taxonomy, is
highlighted. These are a category of visual privacy preservation techniques
particularly relevant when considering scenarios that come under video-based
AAL monitoring. Obfuscation against machine learning models is also explored. A
high-level classification scheme of the different levels of privacy by design
is connected to the proposed taxonomy of visual privacy preservation
techniques. Finally, we note open questions that exist in the field and
introduce the reader to some exciting avenues for future research in the area
of visual privacy. |
doi_str_mv | 10.48550/arxiv.2112.09422 |
format | Article |
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techniques, with particular attention paid to techniques applicable to the
field of active and assisted living (AAL). A novel taxonomy with which
state-of-the-art visual privacy protection methods can be classified is
introduced. Perceptual obfuscation methods, a category in the taxonomy, is
highlighted. These are a category of visual privacy preservation techniques
particularly relevant when considering scenarios that come under video-based
AAL monitoring. Obfuscation against machine learning models is also explored. A
high-level classification scheme of the different levels of privacy by design
is connected to the proposed taxonomy of visual privacy preservation
techniques. Finally, we note open questions that exist in the field and
introduce the reader to some exciting avenues for future research in the area
of visual privacy.</description><identifier>DOI: 10.48550/arxiv.2112.09422</identifier><language>eng</language><subject>Computer Science - Computer Vision and Pattern Recognition</subject><creationdate>2021-12</creationdate><rights>http://creativecommons.org/licenses/by-nc-nd/4.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a1152-f4c454a8f402fbd6b935a648baa103030ccc9fd8fe2f7131b143ec7770feb9ab3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2112.09422$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2112.09422$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Ravi, Siddharth</creatorcontrib><creatorcontrib>Climent-Pérez, Pau</creatorcontrib><creatorcontrib>Florez-Revuelta, Francisco</creatorcontrib><title>A Review on Visual Privacy Preservation Techniques for Active and Assisted Living</title><description>This paper reviews the state of the art in visual privacy protection
techniques, with particular attention paid to techniques applicable to the
field of active and assisted living (AAL). A novel taxonomy with which
state-of-the-art visual privacy protection methods can be classified is
introduced. Perceptual obfuscation methods, a category in the taxonomy, is
highlighted. These are a category of visual privacy preservation techniques
particularly relevant when considering scenarios that come under video-based
AAL monitoring. Obfuscation against machine learning models is also explored. A
high-level classification scheme of the different levels of privacy by design
is connected to the proposed taxonomy of visual privacy preservation
techniques. Finally, we note open questions that exist in the field and
introduce the reader to some exciting avenues for future research in the area
of visual privacy.</description><subject>Computer Science - Computer Vision and Pattern Recognition</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotj8tOwzAQRb1hgQofwAr_QIKfTbKMKl5SJAoqbKOxM4aRSgp2aujfEwq6i7O40pEOYxdSlKa2VlxB_KZcKilVKRqj1Cl7bPkTZsIvvhv5C6U9bPk6UgZ_mIkJY4aJ5m-D_m2kzz0mHnaRt36ijBzGgbcpUZpw4B1lGl_P2EmAbcLzfy7Y8831ZnVXdA-396u2K0BKq4pgvLEG6mCECm5YukZbWJraAUih53nvmzDUAVWopJZOGo2-qioR0DXg9IJd_nmPUf1HpHeIh_43rj_G6R_IVUp-</recordid><startdate>20211217</startdate><enddate>20211217</enddate><creator>Ravi, Siddharth</creator><creator>Climent-Pérez, Pau</creator><creator>Florez-Revuelta, Francisco</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20211217</creationdate><title>A Review on Visual Privacy Preservation Techniques for Active and Assisted Living</title><author>Ravi, Siddharth ; Climent-Pérez, Pau ; Florez-Revuelta, Francisco</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a1152-f4c454a8f402fbd6b935a648baa103030ccc9fd8fe2f7131b143ec7770feb9ab3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Computer Science - Computer Vision and Pattern Recognition</topic><toplevel>online_resources</toplevel><creatorcontrib>Ravi, Siddharth</creatorcontrib><creatorcontrib>Climent-Pérez, Pau</creatorcontrib><creatorcontrib>Florez-Revuelta, Francisco</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ravi, Siddharth</au><au>Climent-Pérez, Pau</au><au>Florez-Revuelta, Francisco</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Review on Visual Privacy Preservation Techniques for Active and Assisted Living</atitle><date>2021-12-17</date><risdate>2021</risdate><abstract>This paper reviews the state of the art in visual privacy protection
techniques, with particular attention paid to techniques applicable to the
field of active and assisted living (AAL). A novel taxonomy with which
state-of-the-art visual privacy protection methods can be classified is
introduced. Perceptual obfuscation methods, a category in the taxonomy, is
highlighted. These are a category of visual privacy preservation techniques
particularly relevant when considering scenarios that come under video-based
AAL monitoring. Obfuscation against machine learning models is also explored. A
high-level classification scheme of the different levels of privacy by design
is connected to the proposed taxonomy of visual privacy preservation
techniques. Finally, we note open questions that exist in the field and
introduce the reader to some exciting avenues for future research in the area
of visual privacy.</abstract><doi>10.48550/arxiv.2112.09422</doi><oa>free_for_read</oa></addata></record> |
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subjects | Computer Science - Computer Vision and Pattern Recognition |
title | A Review on Visual Privacy Preservation Techniques for Active and Assisted Living |
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