{"id":"https://openalex.org/W4406857549","doi":"https://doi.org/10.1109/tmm.2025.3535283","title":"Adaptive PUPM-Based HEVC Video Steganography Balancing Embedding Performance and Security","display_name":"Adaptive PUPM-Based HEVC Video Steganography Balancing Embedding Performance and Security","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406857549","doi":"https://doi.org/10.1109/tmm.2025.3535283"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2025.3535283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3535283","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5067543068","display_name":"Lifang Yu","orcid":"https://orcid.org/0000-0002-0508-7526"},"institutions":[{"id":"https://openalex.org/I4210135483","display_name":"Beijing Institute of Graphic Communication","ror":"https://ror.org/03yg3v757","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210135483"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lifang Yu","raw_affiliation_strings":["Department of Information Engineering, Beijing Institute of Graphic Communication, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0508-7526","affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Beijing Institute of Graphic Communication, Beijing, China","institution_ids":["https://openalex.org/I4210135483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001919998","display_name":"Zichao Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135483","display_name":"Beijing Institute of Graphic Communication","ror":"https://ror.org/03yg3v757","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210135483"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zichao Yu","raw_affiliation_strings":["Department of Information Engineering, Beijing Institute of Graphic Communication, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Beijing Institute of Graphic Communication, Beijing, China","institution_ids":["https://openalex.org/I4210135483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070111961","display_name":"Shaowei Weng","orcid":"https://orcid.org/0000-0003-1037-7699"},"institutions":[{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaowei Weng","raw_affiliation_strings":["Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1037-7699","affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China","institution_ids":["https://openalex.org/I83791580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061331291","display_name":"Dewang Chen","orcid":"https://orcid.org/0000-0002-8660-9700"},"institutions":[{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dewang Chen","raw_affiliation_strings":["School of Transportation, Fujian University of Technology, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8660-9700","affiliations":[{"raw_affiliation_string":"School of Transportation, Fujian University of Technology, Fuzhou, China","institution_ids":["https://openalex.org/I83791580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1331,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8597562,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"27","issue":null,"first_page":"4508","last_page":"4519"},"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9973999857902527,"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":0.9042865037918091},{"id":"https://openalex.org/keywords/steganography","display_name":"Steganography","score":0.7102581262588501},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.503619372844696},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.4124009609222412},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.37615305185317993},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23455044627189636}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9042865037918091},{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.7102581262588501},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.503619372844696},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.4124009609222412},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.37615305185317993},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23455044627189636}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2025.3535283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3535283","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W2012300482","https://openalex.org/W2031997511","https://openalex.org/W2035385859","https://openalex.org/W2044465660","https://openalex.org/W2133665775","https://openalex.org/W2620913518","https://openalex.org/W2739757502","https://openalex.org/W2793408333","https://openalex.org/W2883338728","https://openalex.org/W2890633629","https://openalex.org/W2902382454","https://openalex.org/W2913664580","https://openalex.org/W2943372135","https://openalex.org/W2965119205","https://openalex.org/W2968397583","https://openalex.org/W2969708644","https://openalex.org/W3000016557","https://openalex.org/W3013756644","https://openalex.org/W3035502324","https://openalex.org/W3125771918","https://openalex.org/W3157892610","https://openalex.org/W3201289359","https://openalex.org/W4206421217","https://openalex.org/W4211162975","https://openalex.org/W4281690481","https://openalex.org/W4366957366","https://openalex.org/W4386261935","https://openalex.org/W4387272116","https://openalex.org/W4393034046","https://openalex.org/W4394744600","https://openalex.org/W4401768241","https://openalex.org/W6631190155","https://openalex.org/W6675207249"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2138457032","https://openalex.org/W2588780717","https://openalex.org/W3133799264","https://openalex.org/W1852022489","https://openalex.org/W2891774131","https://openalex.org/W2060145807","https://openalex.org/W4248806346"],"abstract_inverted_index":{"For":[0],"the":[1,37,52,77,91,97,101,110,124,131,157,202,209,237],"prediction":[2],"unit":[3],"partition":[4],"modes":[5],"(PUPM)-based":[6],"steganography,":[7,18],"a":[8,20,59,65,170,185,225],"mainstream":[9],"branch":[10],"of":[11,40,50,99,113,182],"high":[12,242],"efficiency":[13,159],"video":[14,17],"coding":[15],"(HEVC)":[16],"striking":[19],"balance":[21],"between":[22],"embedding":[23,44,53,78,92,125,132,150,158,172,238],"performance":[24,93,239],"and":[25,94,212],"security":[26,164],"is":[27,45,70,105,142,160,165,198],"very":[28],"challenging.":[29],"Including":[30],"the$2\\mathcal":[31],"{N}":[32,116,176],"\\times":[33,117,177],"2\\mathcal":[34,118,178],"{N}$PUPMs":[35],"having":[36],"maximum":[38],"number":[39],"PUPMs":[41,114,147],"into":[42],"data":[43,120,153,217],"indeed":[46],"an":[47],"effective":[48],"way":[49],"enlarging":[51,123],"capacity,":[54],"but":[55],"it":[56],"necessarily":[57],"causes":[58],"significant":[60],"decline":[61],"in":[62,72,190,205],"security.":[63,95,243],"Therefore,":[64],"multi-factor-involved":[66],"cost":[67,79,173],"function":[68],"(MFICF)":[69],"proposed":[71,199],"this":[73],"paper":[74],"to":[75,107,144,200],"evaluate":[76],"for":[80,152,174],"modifying":[81],"each":[82],"PUPM":[83],"by":[84,138,168,216],"comprehensively":[85],"considering":[86],"four":[87],"different":[88],"aspects":[89],"affecting":[90],"With":[96],"assistance":[98],"MFICF,":[100,139],"7-ary":[102],"notational":[103],"system":[104],"combined":[106],"use":[108],"all":[109],"7":[111],"types":[112],"containing$2\\mathcal":[115],"{N}$for":[119],"embedding,":[121,154],"thus":[122],"capacity":[126],"as":[127,129],"well":[128],"enhancing":[130],"efficiency.":[133],"The":[134,163],"syndrome-trellis":[135],"code":[136],"driven":[137],"named":[140],"CFSTC,":[141],"designed":[143],"preferentially":[145],"select":[146],"with":[148,192],"low":[149],"costs":[151],"so":[155],"that":[156,233],"largely":[161],"enhanced.":[162],"effectively":[166,235],"guaranteed":[167],"allocating":[169],"large":[171],"modifying$2\\mathcal":[175],"{N}$to":[179],"another":[180],"type":[181],"PUPM.":[183],"Finally,":[184],"lightweight":[186],"convolutional":[187],"neural":[188],"network":[189],"combination":[191],"gated":[193],"channel":[194],"transformation,":[195],"called":[196],"GSCNet,":[197],"replace":[201],"in-loop":[203],"filter":[204],"HEVC,":[206],"further":[207],"optimizing":[208],"visual":[210],"distortion":[211],"bitrate":[213],"increase":[214],"caused":[215],"embedding.":[218],"Combining":[219],"these":[220],"components":[221],"above,":[222],"we":[223],"design":[224],"PUPM-based":[226],"steganography":[227],"algorithm,":[228],"GSAPM.":[229],"Experimental":[230],"results":[231],"show":[232],"GSAPM":[234],"enhances":[236],"while":[240],"maintaining":[241]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
