{"id":"https://openalex.org/W2737393222","doi":"https://doi.org/10.1109/tifs.2017.2730362","title":"SIFT Keypoint Removal via Directed Graph Construction for Color Images","display_name":"SIFT Keypoint Removal via Directed Graph Construction for Color Images","publication_year":2017,"publication_date":"2017-07-21","ids":{"openalex":"https://openalex.org/W2737393222","doi":"https://doi.org/10.1109/tifs.2017.2730362","mag":"2737393222"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2017.2730362","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2017.2730362","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-article"},"type":"article","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/A5016956860","display_name":"Yuanman Li","orcid":"https://orcid.org/0000-0003-4526-3018"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":true,"raw_author_name":"Yuanman Li","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037979193","display_name":"Jiantao Zhou","orcid":"https://orcid.org/0000-0002-6015-2618"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Jiantao Zhou","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055661493","display_name":"An Cheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"An Cheng","raw_affiliation_strings":["Meitu, Inc., Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Meitu, Inc., Xiamen, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016956860"],"corresponding_institution_ids":["https://openalex.org/I204512498"],"apc_list":null,"apc_paid":null,"fwci":0.8192,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.82237746,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"12","issue":"12","first_page":"2971","last_page":"2985"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9995999932289124,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9995999932289124,"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":0.9994999766349792,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9940000176429749,"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/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.9184391498565674},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.742886483669281},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6165986061096191},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.511015772819519},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4674055874347687},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.451281875371933},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44000205397605896},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4189993739128113},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1307772696018219}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.9184391498565674},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.742886483669281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6165986061096191},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.511015772819519},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4674055874347687},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.451281875371933},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44000205397605896},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4189993739128113},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1307772696018219},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2017.2730362","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2017.2730362","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G2286792410","display_name":null,"funder_award_id":"61402547","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2477571159","display_name":null,"funder_award_id":"MYRG2016-00137-FST","funder_id":"https://openalex.org/F4320322841","funder_display_name":"Universidade de Macau"},{"id":"https://openalex.org/G7527338546","display_name":null,"funder_award_id":"MYRG2015-00056-FST","funder_id":"https://openalex.org/F4320322841","funder_display_name":"Universidade de Macau"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322841","display_name":"Universidade de Macau","ror":"https://ror.org/01r4q9n85"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W120119343","https://openalex.org/W1569734215","https://openalex.org/W1570958768","https://openalex.org/W1975890006","https://openalex.org/W1980454679","https://openalex.org/W1985101401","https://openalex.org/W1987535593","https://openalex.org/W2007961193","https://openalex.org/W2009824857","https://openalex.org/W2036459670","https://openalex.org/W2045831242","https://openalex.org/W2049109615","https://openalex.org/W2052950171","https://openalex.org/W2055197996","https://openalex.org/W2066941820","https://openalex.org/W2085996009","https://openalex.org/W2086407934","https://openalex.org/W2092669196","https://openalex.org/W2096578865","https://openalex.org/W2096582877","https://openalex.org/W2096933452","https://openalex.org/W2111557737","https://openalex.org/W2123537152","https://openalex.org/W2124343442","https://openalex.org/W2124386111","https://openalex.org/W2128813047","https://openalex.org/W2133665775","https://openalex.org/W2134514757","https://openalex.org/W2136858165","https://openalex.org/W2137405310","https://openalex.org/W2147332957","https://openalex.org/W2149073238","https://openalex.org/W2149745530","https://openalex.org/W2151103935","https://openalex.org/W2153361333","https://openalex.org/W2161112350","https://openalex.org/W2162963619","https://openalex.org/W2336517228","https://openalex.org/W3121767244","https://openalex.org/W3145128584","https://openalex.org/W3160851792","https://openalex.org/W4246219036","https://openalex.org/W4250589301","https://openalex.org/W6604906609","https://openalex.org/W6795644987","https://openalex.org/W6997266731"],"related_works":["https://openalex.org/W2049930962","https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2056912418","https://openalex.org/W2112208972","https://openalex.org/W2123759770","https://openalex.org/W2033213769","https://openalex.org/W2811390910","https://openalex.org/W4312376745","https://openalex.org/W2768048376"],"abstract_inverted_index":{"As":[0],"one":[1],"of":[2,24,47,102,124,136,178,191,203],"the":[3,22,48,54,59,81,92,99,122,152,155,161,175,179,188,196,201],"most":[4,46],"successful":[5],"feature":[6,11],"extraction":[7],"algorithms,":[8],"scale":[9],"invariant":[10],"transform":[12],"(SIFT)":[13],"has":[14,29],"been":[15,30,38],"widely":[16],"employed":[17],"in":[18,80,85,109,199,206,211],"many":[19,65],"applications.":[20],"Recently,":[21],"security":[23],"SIFT":[25,42,116,143],"against":[26],"malicious":[27],"attack":[28],"attracting":[31],"increasing":[32],"attention,":[33],"and":[34,90,210],"several":[35],"techniques":[36,66],"have":[37],"devised":[39],"to":[40,140,186],"remove":[41,141],"keypoints":[43,71,205],"intentionally.":[44],"However,":[45],"existing":[49],"methods":[50],"still":[51],"suffer":[52],"from":[53],"following":[55],"three":[56],"problems:":[57],"1)":[58],"keypoint":[60,117,144],"removal":[61,118],"rate":[62],"achieved":[63],"by":[64],"is":[67,95,157],"unsatisfactory":[68],"when":[69],"removing":[70,204],"within":[72],"multiple":[73,212],"octaves;":[74],"2)":[75],"noticeable":[76],"artifacts":[77],"are":[78,184],"introduced":[79],"processed":[82],"image,":[83],"especially":[84],"those":[86,103],"highly":[87],"textured":[88],"regions;":[89],"3)":[91],"color":[93,176],"information":[94,177],"totally":[96],"neglected,":[97],"precluding":[98],"widespread":[100],"adoption":[101],"methods.":[104],"To":[105,150],"tackle":[106],"these":[107],"challenges,":[108],"this":[110],"paper,":[111],"we":[112,132,165],"propose":[113,166],"a":[114,128,134,142,146,167,207],"novel":[115],"framework.":[119],"By":[120],"modeling":[121],"difference":[123],"Gaussian":[125],"space":[126],"as":[127],"directed":[129,162],"weighted":[130],"graph,":[131],"derive":[133],"set":[135],"strict":[137],"inequality":[138],"constraints":[139],"along":[145],"pre-constructed":[147],"acyclic":[148],"path.":[149],"minimize":[151],"incurred":[153],"distortion,":[154],"path":[156],"strategically":[158],"designed":[159],"over":[160,195],"graph.":[163],"Furthermore,":[164],"simple":[168],"yet":[169],"effective":[170],"optimization":[171],"framework":[172],"for":[173],"recovering":[174],"keypoint-removed":[180],"image.":[181],"Extensive":[182],"experiments":[183],"provided":[185],"show":[187],"superior":[189],"performance":[190],"our":[192],"proposed":[193],"scheme":[194],"state-of-the-art":[197],"techniques,":[198],"both":[200],"scenarios":[202],"single":[208],"octave":[209],"octaves.":[213]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
