{"id":"https://openalex.org/W2883444874","doi":"https://doi.org/10.1109/tcsvt.2018.2859792","title":"Improving Pairwise PEE via Hybrid-Dimensional Histogram Generation and Adaptive Mapping Selection","display_name":"Improving Pairwise PEE via Hybrid-Dimensional Histogram Generation and Adaptive Mapping Selection","publication_year":2018,"publication_date":"2018-07-25","ids":{"openalex":"https://openalex.org/W2883444874","doi":"https://doi.org/10.1109/tcsvt.2018.2859792","mag":"2883444874"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2018.2859792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2018.2859792","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5014386711","display_name":"Bo Ou","orcid":"https://orcid.org/0000-0001-6936-9955"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Ou","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University,,,Changsha,,China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University,,,Changsha,,China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100371548","display_name":"Xiaolong Li","orcid":"https://orcid.org/0000-0002-6111-9000"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Li","raw_affiliation_strings":["Institute of information science, Beijing jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of information science, Beijing jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067689180","display_name":"Weiming Zhang","orcid":"https://orcid.org/0000-0001-5576-6108"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiming Zhang","raw_affiliation_strings":["[CAS Key Laboratory of Electromagnetic Space Information, University of Science and Technology of China, Hefei, China]"],"affiliations":[{"raw_affiliation_string":"[CAS Key Laboratory of Electromagnetic Space Information, University of Science and Technology of China, Hefei, China]","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100362745","display_name":"Yao Zhao","orcid":"https://orcid.org/0000-0002-8581-9554"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Zhao","raw_affiliation_strings":["Institute of information science, Beijing jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of information science, Beijing jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5014386711"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":4.7009,"has_fulltext":false,"cited_by_count":128,"citation_normalized_percentile":{"value":0.96380371,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"29","issue":"7","first_page":"2176","last_page":"2190"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":1.0,"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":1.0,"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":0.9958999752998352,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.874639093875885},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.8170205354690552},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7661547660827637},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6881377696990967},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6019189953804016},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5868799090385437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5454597473144531},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5018026828765869},{"id":"https://openalex.org/keywords/pairing","display_name":"Pairing","score":0.49609407782554626},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48185810446739197},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4062522351741791},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35833948850631714}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.874639093875885},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.8170205354690552},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7661547660827637},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6881377696990967},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6019189953804016},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5868799090385437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5454597473144531},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5018026828765869},{"id":"https://openalex.org/C14103023","wikidata":"https://www.wikidata.org/wiki/Q11681459","display_name":"Pairing","level":3,"score":0.49609407782554626},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48185810446739197},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4062522351741791},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35833948850631714},{"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},{"id":"https://openalex.org/C54101563","wikidata":"https://www.wikidata.org/wiki/Q124131","display_name":"Superconductivity","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2018.2859792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2018.2859792","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1430190996","display_name":null,"funder_award_id":"2017RC008","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2622340190","display_name":null,"funder_award_id":"61572052","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3326952325","display_name":null,"funder_award_id":"61332012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3345629171","display_name":null,"funder_award_id":"61502160","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4678000616","display_name":null,"funder_award_id":"2016YFB0800404","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8155620098","display_name":null,"funder_award_id":"U1736213","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1537374631","https://openalex.org/W1570710652","https://openalex.org/W1974641035","https://openalex.org/W1989953416","https://openalex.org/W1990337861","https://openalex.org/W1993364002","https://openalex.org/W2000786134","https://openalex.org/W2001502656","https://openalex.org/W2010380519","https://openalex.org/W2039758953","https://openalex.org/W2046448991","https://openalex.org/W2056340285","https://openalex.org/W2066178754","https://openalex.org/W2067674530","https://openalex.org/W2070482985","https://openalex.org/W2078607543","https://openalex.org/W2087754138","https://openalex.org/W2093293662","https://openalex.org/W2105019220","https://openalex.org/W2106950225","https://openalex.org/W2117314358","https://openalex.org/W2121393355","https://openalex.org/W2133665775","https://openalex.org/W2135459805","https://openalex.org/W2137288380","https://openalex.org/W2139849636","https://openalex.org/W2140226570","https://openalex.org/W2142181334","https://openalex.org/W2144088652","https://openalex.org/W2152185406","https://openalex.org/W2155470366","https://openalex.org/W2227696942","https://openalex.org/W2318179439","https://openalex.org/W2342152533","https://openalex.org/W2344320947","https://openalex.org/W2375255548","https://openalex.org/W2403682575","https://openalex.org/W2509384312","https://openalex.org/W2515547341","https://openalex.org/W2604565470","https://openalex.org/W3209866323","https://openalex.org/W4238963040"],"related_works":["https://openalex.org/W3015473028","https://openalex.org/W3201176751","https://openalex.org/W1993094293","https://openalex.org/W2029180842","https://openalex.org/W2024971119","https://openalex.org/W2057898405","https://openalex.org/W2953807518","https://openalex.org/W2258335979","https://openalex.org/W2890366349","https://openalex.org/W1968265719"],"abstract_inverted_index":{"Pairwise":[0],"prediction-error":[1,115],"expansion":[2],"(pairwise":[3],"PEE)":[4],"is":[5,52,127],"a":[6,55,78,101,104,157],"recent":[7],"technique":[8],"for":[9,44,65,140],"the":[10,17,34,40,45,61,73,82,90,98,112,122,132,141,153,161],"high-dimensional":[11],"reversible":[12],"data":[13],"hiding.":[14],"However,":[15],"in":[16,77,100],"absence":[18],"of":[19,47,107],"adaptive":[20,35,41,123],"embedding,":[21],"its":[22],"potential":[23],"has":[24,118,156],"not":[25],"been":[26],"fully":[27],"exploited.":[28],"In":[29,67,95],"this":[30,96],"paper,":[31],"we":[32,69],"propose":[33],"pixel":[36],"pairing":[37,86],"(APP)":[38],"and":[39,59,87,110],"mapping":[42,64,124],"selection":[43,125],"enhancement":[46],"pairwise":[48,162],"PEE.":[49,163],"Our":[50],"motivation":[51],"twofold:":[53],"building":[54],"sharper":[56],"2D":[57,63,114],"histogram":[58,116],"designing":[60],"effective":[62],"it.":[66],"APP,":[68],"consider":[70],"to":[71,129],"increase":[72],"similarity":[74],"between":[75],"pixels":[76,84,92,99],"pair,":[79],"by":[80],"excluding":[81],"rough":[83],"from":[85],"only":[88],"putting":[89],"smooth":[91],"into":[93],"pairs.":[94],"way,":[97],"pair":[102],"have":[103],"larger":[105],"possibility":[106],"being":[108],"equal,":[109],"thus":[111],"resulted":[113,142],"(PEH)":[117],"lower":[119],"entropy.":[120],"Next,":[121],"mechanism":[126],"introduced":[128],"properly":[130],"determine":[131],"optimal":[133],"modification,":[134],"based":[135],"on":[136],"\u201cwhether":[137],"it":[138],"fits":[139],"PEH\u201d":[143],"rather":[144],"than":[145],"heuristic":[146],"experience.":[147],"The":[148],"experimental":[149],"results":[150],"show":[151],"that":[152],"proposed":[154],"method":[155],"significant":[158],"improvement":[159],"over":[160]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":2}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}
