{"id":"https://openalex.org/W2586490369","doi":"https://doi.org/10.1109/smc.2016.7844826","title":"Configurable privacy management for secure video surveillance in energy-constrained systems","display_name":"Configurable privacy management for secure video surveillance in energy-constrained systems","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2586490369","doi":"https://doi.org/10.1109/smc.2016.7844826","mag":"2586490369"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2016.7844826","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2016.7844826","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102832671","display_name":"Junhyung Moon","orcid":"https://orcid.org/0000-0001-6719-7934"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junhyung Moon","raw_affiliation_strings":["Department of Computer Science, Yonsei University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102904164","display_name":"Hwisoo So","orcid":"https://orcid.org/0000-0002-3496-6079"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hwisoo So","raw_affiliation_strings":["Department of Computer Science, Yonsei University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031543156","display_name":"Kyoungwoo Lee","orcid":"https://orcid.org/0000-0001-5082-3775"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyoungwoo Lee","raw_affiliation_strings":["Department of Computer Science, Yonsei University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"003800","last_page":"003805"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7967638969421387},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5859299302101135},{"id":"https://openalex.org/keywords/bitstream","display_name":"Bitstream","score":0.545014500617981},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5323866605758667},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4662227928638458},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.43359172344207764},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"Privacy protection","score":0.42223289608955383},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.42007771134376526},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3922620415687561},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.30944663286209106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15999284386634827},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1556374430656433}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7967638969421387},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5859299302101135},{"id":"https://openalex.org/C136695289","wikidata":"https://www.wikidata.org/wiki/Q415568","display_name":"Bitstream","level":3,"score":0.545014500617981},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5323866605758667},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4662227928638458},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.43359172344207764},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.42223289608955383},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.42007771134376526},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3922620415687561},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.30944663286209106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15999284386634827},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1556374430656433},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2016.7844826","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2016.7844826","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1585144185","https://openalex.org/W1809034209","https://openalex.org/W1977028487","https://openalex.org/W2007333672","https://openalex.org/W2058039232","https://openalex.org/W2119605622","https://openalex.org/W2124735649","https://openalex.org/W2127146043","https://openalex.org/W2135689024","https://openalex.org/W2147367286","https://openalex.org/W2160245619","https://openalex.org/W2171791538","https://openalex.org/W2296760911","https://openalex.org/W6685639368","https://openalex.org/W6697639392"],"related_works":["https://openalex.org/W4389850132","https://openalex.org/W1574724839","https://openalex.org/W2377190948","https://openalex.org/W4361855866","https://openalex.org/W2096476311","https://openalex.org/W2595406057","https://openalex.org/W169721953","https://openalex.org/W1965900363","https://openalex.org/W1623638113","https://openalex.org/W3034776505"],"abstract_inverted_index":{"Nowadays,":[0],"lots":[1],"of":[2,98,132,143],"people":[3,20],"concern":[4],"about":[5],"the":[6,10,32,36,43,46,51,60,65,69,72,76,81,85,90,96,99,103,107,115,125,129,133,139,144,150,154,159,176,181,188],"privacy":[7,66,117],"violation":[8],"in":[9,16,35,59,106,120,147,187],"video":[11,37,47,61,86,135],"surveillance":[12,38,62,136],"systems":[13],"widely":[14],"utilized":[15],"order":[17,121],"to":[18,30,75,122,164,171],"protect":[19,31],"and":[21,39,50,89,102,128,158,166],"their":[22],"properties.":[23],"Various":[24],"protection":[25,101,146],"techniques":[26],"have":[27,54],"been":[28,56],"proposed":[29,151],"privacy-sensitive":[33],"information":[34],"they":[40],"properly":[41],"provide":[42],"protection.":[44,67],"Unfortunately,":[45],"compression":[48,87,126,177],"rate":[49,88,127],"energy":[52,91,130,160],"consumption":[53,92,161],"not":[55],"thoroughly":[57],"investigated":[58],"system":[63,74,78],"providing":[64],"However,":[68],"advance":[70],"from":[71],"wired":[73],"wireless":[77],"which":[79],"has":[80],"limited":[82],"resources":[83],"makes":[84],"as":[93,95,169],"important":[94],"degree":[97,142],"perceptual":[100,145],"recognition":[104,183],"accuracy":[105,184],"recovered":[108,189],"video.":[109,190],"In":[110],"this":[111],"paper,":[112],"we":[113],"propose":[114],"configurable":[116],"management":[118],"technique":[119],"enhance":[123],"both":[124],"efficiency":[131],"privacy-protected":[134],"system.":[137],"Satisfying":[138],"highest":[140],"10%":[141],"our":[148],"experiments,":[149],"method":[152],"reduces":[153],"compressed":[155],"bitstream":[156],"size":[157],"by":[162,185],"up":[163],"66.0%":[165],"27.3%":[167],"each":[168],"compared":[170],"no":[172],"protection,":[173],"that":[174],"is,":[175],"only":[178],"while":[179],"achieving":[180],"fine":[182],"82.1%":[186]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}