An ROI Privacy Protection Scheme for H.264 Video Based on FMO and Chaos
With the increase of terrorist and criminal activities, closed circuit television (CCTV) is widely used on many occasions. However, abuse of surveillance video may result in the leakage of personal privacy. To protect the privacy in the video of CCTV, an encryption scheme for region of interest (ROI...
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| Veröffentlicht in: | IEEE transactions on information forensics and security 2013-10, Vol.8 (10), p.1688-1699 |
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| creator | FEI PENG ZHU, Xiao-Wen MIN LONG |
| description | With the increase of terrorist and criminal activities, closed circuit television (CCTV) is widely used on many occasions. However, abuse of surveillance video may result in the leakage of personal privacy. To protect the privacy in the video of CCTV, an encryption scheme for region of interest (ROI) of H.264 video based on flexible macroblock ordering (FMO) and chaos is proposed in this paper, where human face regions are selected as an example of ROI. First, the human face regions in the video are detected and extracted. Then, they are mapped into slice groups by using FMO technology in H.264. After that, these regions are encrypted using selective video encryption based on chaos. Experimental results and analysis show that the proposed scheme can effectively protect the private information of H.264 video and, therefore, can strike a good balance among the security, encryption efficiency, and coding performance. It has great potential to be used in the privacy protection of the video of CCTV. |
| doi_str_mv | 10.1109/TIFS.2013.2259819 |
| format | Article |
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However, abuse of surveillance video may result in the leakage of personal privacy. To protect the privacy in the video of CCTV, an encryption scheme for region of interest (ROI) of H.264 video based on flexible macroblock ordering (FMO) and chaos is proposed in this paper, where human face regions are selected as an example of ROI. First, the human face regions in the video are detected and extracted. Then, they are mapped into slice groups by using FMO technology in H.264. After that, these regions are encrypted using selective video encryption based on chaos. Experimental results and analysis show that the proposed scheme can effectively protect the private information of H.264 video and, therefore, can strike a good balance among the security, encryption efficiency, and coding performance. It has great potential to be used in the privacy protection of the video of CCTV.</description><identifier>ISSN: 1556-6013</identifier><identifier>EISSN: 1556-6021</identifier><identifier>DOI: 10.1109/TIFS.2013.2259819</identifier><identifier>CODEN: ITIFA6</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Applied sciences ; Artificial intelligence ; CCTV ; Chaos ; Chaos theory ; chaotic encryption ; Closed circuit television ; Computer information security ; Computer science; control theory; systems ; Cryptography ; Encryption ; Exact sciences and technology ; Face ; FMO ; H.264 coding ; Human ; Image color analysis ; Information, signal and communications theory ; Memory and file management (including protection and security) ; Memory organisation. Data processing ; Pattern recognition. Digital image processing. Computational geometry ; Privacy ; privacy protection ; ROI ; Signal and communications theory ; Software ; Strikes ; Studies ; Surveillance ; Telecommunications and information theory</subject><ispartof>IEEE transactions on information forensics and security, 2013-10, Vol.8 (10), p.1688-1699</ispartof><rights>2014 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Oct 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c356t-6a3e05ca10671ebe54e539205560703f087212bd60c3d4d653c9b4331e6a9e013</citedby><cites>FETCH-LOGICAL-c356t-6a3e05ca10671ebe54e539205560703f087212bd60c3d4d653c9b4331e6a9e013</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6507633$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6507633$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27784438$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>FEI PENG</creatorcontrib><creatorcontrib>ZHU, Xiao-Wen</creatorcontrib><creatorcontrib>MIN LONG</creatorcontrib><title>An ROI Privacy Protection Scheme for H.264 Video Based on FMO and Chaos</title><title>IEEE transactions on information forensics and security</title><addtitle>TIFS</addtitle><description>With the increase of terrorist and criminal activities, closed circuit television (CCTV) is widely used on many occasions. However, abuse of surveillance video may result in the leakage of personal privacy. To protect the privacy in the video of CCTV, an encryption scheme for region of interest (ROI) of H.264 video based on flexible macroblock ordering (FMO) and chaos is proposed in this paper, where human face regions are selected as an example of ROI. First, the human face regions in the video are detected and extracted. Then, they are mapped into slice groups by using FMO technology in H.264. After that, these regions are encrypted using selective video encryption based on chaos. Experimental results and analysis show that the proposed scheme can effectively protect the private information of H.264 video and, therefore, can strike a good balance among the security, encryption efficiency, and coding performance. It has great potential to be used in the privacy protection of the video of CCTV.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>CCTV</subject><subject>Chaos</subject><subject>Chaos theory</subject><subject>chaotic encryption</subject><subject>Closed circuit television</subject><subject>Computer information security</subject><subject>Computer science; control theory; systems</subject><subject>Cryptography</subject><subject>Encryption</subject><subject>Exact sciences and technology</subject><subject>Face</subject><subject>FMO</subject><subject>H.264 coding</subject><subject>Human</subject><subject>Image color analysis</subject><subject>Information, signal and communications theory</subject><subject>Memory and file management (including protection and security)</subject><subject>Memory organisation. Data processing</subject><subject>Pattern recognition. Digital image processing. Computational geometry</subject><subject>Privacy</subject><subject>privacy protection</subject><subject>ROI</subject><subject>Signal and communications theory</subject><subject>Software</subject><subject>Strikes</subject><subject>Studies</subject><subject>Surveillance</subject><subject>Telecommunications and information theory</subject><issn>1556-6013</issn><issn>1556-6021</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkE1LAzEQhhdRsFZ_gHgJiOClNZOv3T3WYj-gUrHVa0izs3RLu6nJVui_N6WlB3OZwDzz8vIkyT3QLgDNX-bjwazLKPAuYzLPIL9IWiCl6ijK4PL8B36d3ISwolQIUFkrGfZq8jkdkw9f_Rq7j9M1aJvK1WRml7hBUjpPRl2mBPmuCnTk1QQsSNwP3qfE1AXpL40Lt8lVadYB706znXwN3ub9UWcyHY77vUnHcqmajjIcqbQGqEoBFygFSp4zGtvRlPKSZikDtigUtbwQhZLc5gvBOaAyOcb67eT5mLv17meHodGbKlhcr02Nbhc0xFwp8_gi-vgPXbmdr2M7DYKzPI2aeKTgSFnvQvBY6q2vNsbvNVB9UKsPavVBrT6pjTdPp2QTrFmX3tS2CudDlqaZEDyL3MORqxDxvFaSpopz_gfk0nyb</recordid><startdate>20131001</startdate><enddate>20131001</enddate><creator>FEI PENG</creator><creator>ZHU, Xiao-Wen</creator><creator>MIN LONG</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Data processing</topic><topic>Pattern recognition. Digital image processing. Computational geometry</topic><topic>Privacy</topic><topic>privacy protection</topic><topic>ROI</topic><topic>Signal and communications theory</topic><topic>Software</topic><topic>Strikes</topic><topic>Studies</topic><topic>Surveillance</topic><topic>Telecommunications and information theory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>FEI PENG</creatorcontrib><creatorcontrib>ZHU, Xiao-Wen</creatorcontrib><creatorcontrib>MIN LONG</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><jtitle>IEEE transactions on information forensics and security</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>FEI PENG</au><au>ZHU, Xiao-Wen</au><au>MIN LONG</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An ROI Privacy Protection Scheme for H.264 Video Based on FMO and Chaos</atitle><jtitle>IEEE transactions on information forensics and security</jtitle><stitle>TIFS</stitle><date>2013-10-01</date><risdate>2013</risdate><volume>8</volume><issue>10</issue><spage>1688</spage><epage>1699</epage><pages>1688-1699</pages><issn>1556-6013</issn><eissn>1556-6021</eissn><coden>ITIFA6</coden><abstract>With the increase of terrorist and criminal activities, closed circuit television (CCTV) is widely used on many occasions. However, abuse of surveillance video may result in the leakage of personal privacy. To protect the privacy in the video of CCTV, an encryption scheme for region of interest (ROI) of H.264 video based on flexible macroblock ordering (FMO) and chaos is proposed in this paper, where human face regions are selected as an example of ROI. First, the human face regions in the video are detected and extracted. Then, they are mapped into slice groups by using FMO technology in H.264. After that, these regions are encrypted using selective video encryption based on chaos. Experimental results and analysis show that the proposed scheme can effectively protect the private information of H.264 video and, therefore, can strike a good balance among the security, encryption efficiency, and coding performance. 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| subjects | Applied sciences Artificial intelligence CCTV Chaos Chaos theory chaotic encryption Closed circuit television Computer information security Computer science control theory systems Cryptography Encryption Exact sciences and technology Face FMO H.264 coding Human Image color analysis Information, signal and communications theory Memory and file management (including protection and security) Memory organisation. Data processing Pattern recognition. Digital image processing. Computational geometry Privacy privacy protection ROI Signal and communications theory Software Strikes Studies Surveillance Telecommunications and information theory |
| title | An ROI Privacy Protection Scheme for H.264 Video Based on FMO and Chaos |
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