{"id":"https://openalex.org/W3107531076","doi":"https://doi.org/10.1080/09540091.2020.1852179","title":"An SMVQ compressed data hiding scheme based on multiple linear regression prediction","display_name":"An SMVQ compressed data hiding scheme based on multiple linear regression prediction","publication_year":2020,"publication_date":"2020-11-27","ids":{"openalex":"https://openalex.org/W3107531076","doi":"https://doi.org/10.1080/09540091.2020.1852179","mag":"3107531076"},"language":"en","primary_location":{"id":"doi:10.1080/09540091.2020.1852179","is_oa":false,"landing_page_url":"https://doi.org/10.1080/09540091.2020.1852179","pdf_url":null,"source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5053926000","display_name":"Heng-Xiao Chi","orcid":"https://orcid.org/0000-0002-7780-8468"},"institutions":[{"id":"https://openalex.org/I4880106","display_name":"Feng Chia University","ror":"https://ror.org/05vhczg54","country_code":"TW","type":"education","lineage":["https://openalex.org/I4880106"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hengxiao Chi","raw_affiliation_strings":["Department of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan","institution_ids":["https://openalex.org/I4880106"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038550838","display_name":"Chin\u2010Chen Chang","orcid":"https://orcid.org/0000-0002-7319-5780"},"institutions":[{"id":"https://openalex.org/I4880106","display_name":"Feng Chia University","ror":"https://ror.org/05vhczg54","country_code":"TW","type":"education","lineage":["https://openalex.org/I4880106"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chin-Chen Chang","raw_affiliation_strings":["Department of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan","institution_ids":["https://openalex.org/I4880106"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100458953","display_name":"Yanjun Liu","orcid":"https://orcid.org/0000-0003-3518-5562"},"institutions":[{"id":"https://openalex.org/I4880106","display_name":"Feng Chia University","ror":"https://ror.org/05vhczg54","country_code":"TW","type":"education","lineage":["https://openalex.org/I4880106"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yanjun Liu","raw_affiliation_strings":["Department of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan","institution_ids":["https://openalex.org/I4880106"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038550838"],"corresponding_institution_ids":["https://openalex.org/I4880106"],"apc_list":{"value":1270,"currency":"USD","value_usd":1270},"apc_paid":null,"fwci":0.6865,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.7281354,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"33","issue":"3","first_page":"495","last_page":"514"},"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/T10901","display_name":"Advanced Data Compression Techniques","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":0.9977999925613403,"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/codebook","display_name":"Codebook","score":0.9149820804595947},{"id":"https://openalex.org/keywords/information-hiding","display_name":"Information hiding","score":0.7544122934341431},{"id":"https://openalex.org/keywords/code-word","display_name":"Code word","score":0.7294840216636658},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6497186422348022},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6011248826980591},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5955766439437866},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.5584605932235718},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5405792593955994},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5304892659187317},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49221673607826233},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49213045835494995},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.48033514618873596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45687970519065857},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4536159038543701},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4429301619529724},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.43660351634025574},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4157179594039917},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4104297161102295},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.41001763939857483},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1765369474887848},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14445790648460388},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.08066079020500183}],"concepts":[{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.9149820804595947},{"id":"https://openalex.org/C3073032","wikidata":"https://www.wikidata.org/wiki/Q15912075","display_name":"Information hiding","level":3,"score":0.7544122934341431},{"id":"https://openalex.org/C153207627","wikidata":"https://www.wikidata.org/wiki/Q863873","display_name":"Code word","level":3,"score":0.7294840216636658},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6497186422348022},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6011248826980591},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5955766439437866},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.5584605932235718},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5405792593955994},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5304892659187317},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49221673607826233},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49213045835494995},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.48033514618873596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45687970519065857},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4536159038543701},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4429301619529724},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.43660351634025574},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4157179594039917},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4104297161102295},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.41001763939857483},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1765369474887848},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14445790648460388},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.08066079020500183},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/09540091.2020.1852179","is_oa":false,"landing_page_url":"https://doi.org/10.1080/09540091.2020.1852179","pdf_url":null,"source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7094d9d63096401d93988452099c377f","is_oa":false,"landing_page_url":"https://doaj.org/article/7094d9d63096401d93988452099c377f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Connection Science, Vol 33, Iss 3, Pp 495-514 (2021)","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1985035091","https://openalex.org/W1992337081","https://openalex.org/W2029803279","https://openalex.org/W2068347031","https://openalex.org/W2071360144","https://openalex.org/W2081907359","https://openalex.org/W2095816870","https://openalex.org/W2134383396","https://openalex.org/W2168782982","https://openalex.org/W2257156282","https://openalex.org/W2280507062","https://openalex.org/W2329994430","https://openalex.org/W2528657340","https://openalex.org/W2568355071","https://openalex.org/W2574673748","https://openalex.org/W2635249468","https://openalex.org/W2741391294","https://openalex.org/W2746926486","https://openalex.org/W2760859501","https://openalex.org/W2771492100","https://openalex.org/W2790708594","https://openalex.org/W2791239482","https://openalex.org/W2901437339","https://openalex.org/W2930064221","https://openalex.org/W2945538948","https://openalex.org/W3049526112","https://openalex.org/W4234727768","https://openalex.org/W4235141733","https://openalex.org/W4241508843","https://openalex.org/W4244017338","https://openalex.org/W4255039382"],"related_works":["https://openalex.org/W2369939250","https://openalex.org/W2148772884","https://openalex.org/W2017514583","https://openalex.org/W2100120615","https://openalex.org/W2165855302","https://openalex.org/W2352648934","https://openalex.org/W1929869830","https://openalex.org/W156190883","https://openalex.org/W2017401491","https://openalex.org/W1940433659"],"abstract_inverted_index":{"In":[0],"this":[1,80,100],"paper,":[2],"we":[3],"propose":[4],"a":[5,83],"side":[6],"matching":[7],"vector":[8],"quantisation":[9],"(SMVQ)":[10],"data":[11],"hiding":[12],"scheme":[13,27,81,101],"for":[14],"image":[15],"using":[16],"multiple":[17,30],"linear":[18,31],"regression":[19,32],"prediction.":[20],"For":[21],"each":[22],"pixel":[23],"block,":[24],"the":[25,29,35,45,50,55,64,75,96],"proposed":[26],"combines":[28],"algorithm":[33],"and":[34,72,74,87,111],"SMVQ":[36],"algorithm,":[37],"so":[38],"that":[39,62,99],"it":[40],"can":[41,92],"more":[42],"accurately":[43],"match":[44],"codeword":[46],"or":[47],"directly":[48],"obtain":[49],"predicted":[51],"value":[52],"closer":[53],"to":[54,104],"real":[56],"pixel.":[57],"Our":[58],"experimental":[59,97],"results":[60,98],"show":[61],"when":[63],"VQ":[65],"codebook":[66],"sizes":[67],"are":[68],"128,":[69],"256,":[70],"512,":[71],"1024,":[73],"SCB":[76],"size":[77],"is":[78,102],"16,":[79],"obtains":[82],"better":[84],"compression":[85,110],"rate":[86],"information":[88],"embedding":[89,112],"ability.":[90],"It":[91],"be":[93],"concluded":[94],"from":[95],"superior":[103],"existing":[105],"algorithms":[106],"in":[107],"terms":[108],"of":[109],"capacity.":[113]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}