{"id":"https://openalex.org/W2756225977","doi":"https://doi.org/10.1109/icip.2017.8297102","title":"Robust image identification with secure features for JPEG images","display_name":"Robust image identification with secure features for JPEG images","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2756225977","doi":"https://doi.org/10.1109/icip.2017.8297102","mag":"2756225977"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8297102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8297102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-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/A5044004391","display_name":"Kenta Iida","orcid":"https://orcid.org/0000-0001-6288-943X"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kenta Iida","raw_affiliation_strings":["Tokyo Metropolitan University, Asahigaoka, Hino-shi, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan University, Asahigaoka, Hino-shi, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015250468","display_name":"Hitoshi Kiya","orcid":"https://orcid.org/0000-0001-8061-3090"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hitoshi Kiya","raw_affiliation_strings":["Tokyo Metropolitan University, Asahigaoka, Hino-shi, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan University, Asahigaoka, Hino-shi, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5044004391"],"corresponding_institution_ids":["https://openalex.org/I69740276"],"apc_list":null,"apc_paid":null,"fwci":0.5461,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.76055112,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"12","issue":null,"first_page":"4342","last_page":"4346"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9998999834060669,"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/T11017","display_name":"Chaos-based Image/Signal Encryption","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"}}],"keywords":[{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.7507501840591431},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7353052496910095},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.7299264669418335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6163654327392578},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5986305475234985},{"id":"https://openalex.org/keywords/identification-scheme","display_name":"Identification scheme","score":0.5747393369674683},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5369676351547241},{"id":"https://openalex.org/keywords/upload","display_name":"Upload","score":0.5066524147987366},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.47782281041145325},{"id":"https://openalex.org/keywords/lossless-jpeg","display_name":"Lossless JPEG","score":0.47438958287239075},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4559992849826813},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.44576090574264526},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.43937593698501587},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4342586398124695},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4132940173149109},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39627805352211},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.29754969477653503},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.2885996103286743},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2879191040992737},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18535301089286804},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1623646318912506}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.7507501840591431},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7353052496910095},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.7299264669418335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6163654327392578},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5986305475234985},{"id":"https://openalex.org/C2778922385","wikidata":"https://www.wikidata.org/wiki/Q3475620","display_name":"Identification scheme","level":3,"score":0.5747393369674683},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5369676351547241},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.5066524147987366},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.47782281041145325},{"id":"https://openalex.org/C8384606","wikidata":"https://www.wikidata.org/wiki/Q2190356","display_name":"Lossless JPEG","level":5,"score":0.47438958287239075},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4559992849826813},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.44576090574264526},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.43937593698501587},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4342586398124695},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4132940173149109},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39627805352211},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29754969477653503},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.2885996103286743},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2879191040992737},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18535301089286804},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1623646318912506},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2017.8297102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8297102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.75,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W38637888","https://openalex.org/W129100304","https://openalex.org/W1483739112","https://openalex.org/W1936825185","https://openalex.org/W2042598971","https://openalex.org/W2053911403","https://openalex.org/W2096328905","https://openalex.org/W2104722041","https://openalex.org/W2118779391","https://openalex.org/W2149003270","https://openalex.org/W2156410694","https://openalex.org/W2166554499","https://openalex.org/W2183964636","https://openalex.org/W2273141913","https://openalex.org/W2396209768","https://openalex.org/W2503789663","https://openalex.org/W2543412159","https://openalex.org/W2567124838","https://openalex.org/W2993503428","https://openalex.org/W3140272129","https://openalex.org/W4242026686","https://openalex.org/W6605225492","https://openalex.org/W6628898578","https://openalex.org/W6693982343"],"related_works":["https://openalex.org/W3190486427","https://openalex.org/W4243959093","https://openalex.org/W1998280942","https://openalex.org/W1992410481","https://openalex.org/W1980149576","https://openalex.org/W2441603424","https://openalex.org/W2145138541","https://openalex.org/W2026465795","https://openalex.org/W3137515556","https://openalex.org/W4385625475"],"abstract_inverted_index":{"A":[0],"robust":[1,63],"identification":[2,64],"scheme":[3,42,65,94,118],"for":[4,89,97,106],"JPEG":[5,18],"images":[6,19,100],"is":[7,14,95],"proposed":[8,41,93,117],"in":[9,33,45,122],"this":[10],"paper.":[11],"The":[12,40,92],"aim":[13],"to":[15,58,101],"robustly":[16],"identify":[17],"generated":[20],"from":[21],"the":[22,83,98,113,116],"same":[23],"original":[24],"image,":[25],"under":[26,77],"various":[27],"compression":[28,34,79],"conditions":[29,80],"such":[30],"as":[31],"differences":[32],"ratios":[35],"and":[36,81,105,109],"initial":[37],"quantization":[38],"matrices.":[39],"does":[43],"not":[44,60],"principle":[46],"produce":[47,73],"any":[48],"false":[49,74],"negative":[50,75],"matches.":[51],"Features":[52],"without":[53],"visual":[54],"information":[55],"are":[56],"used":[57],"achieve":[59],"only":[61],"a":[62,86],"but":[66],"also":[67],"secure":[68,90],"one.":[69],"Conventional":[70],"schemes":[71],"can":[72],"matches":[76],"certain":[78],"require":[82],"use":[84],"of":[85,115,124],"secret":[87],"key":[88],"identification.":[91],"well-suited":[96],"uploading":[99],"social":[102],"network":[103],"services":[104],"image":[107],"retrieval":[108],"forensics.":[110],"Simulations":[111],"demonstrated":[112],"effectiveness":[114],"outperformed":[119],"conventional":[120],"ones":[121],"terms":[123],"query":[125],"performance,":[126],"while":[127],"maintaining":[128],"reasonable":[129],"security.":[130]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}