{"id":"https://openalex.org/W2100041389","doi":"https://doi.org/10.1109/tce.2005.1510512","title":"Objective video quality metric based on data hiding","display_name":"Objective video quality metric based on data hiding","publication_year":2005,"publication_date":"2005-08-01","ids":{"openalex":"https://openalex.org/W2100041389","doi":"https://doi.org/10.1109/tce.2005.1510512","mag":"2100041389"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2005.1510512","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2005.1510512","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","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/A5022483402","display_name":"Myl\u00e8ne C. Q. Farias","orcid":"https://orcid.org/0000-0002-1957-9943"},"institutions":[{"id":"https://openalex.org/I4210158342","display_name":"Intel (United Kingdom)","ror":"https://ror.org/058cxws58","country_code":"GB","type":"company","lineage":["https://openalex.org/I1343180700","https://openalex.org/I4210158342"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"M.C.Q. Farias","raw_affiliation_strings":["Intel Corporation"],"affiliations":[{"raw_affiliation_string":"Intel Corporation","institution_ids":["https://openalex.org/I4210158342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028830723","display_name":"Marco Carli","orcid":"https://orcid.org/0000-0002-7489-3767"},"institutions":[{"id":"https://openalex.org/I119003972","display_name":"Roma Tre University","ror":"https://ror.org/05vf0dg29","country_code":"IT","type":"education","lineage":["https://openalex.org/I119003972"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"M. Carli","raw_affiliation_strings":["Electronics Department, University of Roma TRE, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Electronics Department, University of Roma TRE, Rome, Italy","institution_ids":["https://openalex.org/I119003972"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048368187","display_name":"Sushanta K. Mitra","orcid":"https://orcid.org/0000-0003-0792-8314"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S.K. Mitra","raw_affiliation_strings":["The Electrical and Computer Engineering Department, University of California, Santa Barbara, USA"],"affiliations":[{"raw_affiliation_string":"The Electrical and Computer Engineering Department, University of California, Santa Barbara, USA","institution_ids":["https://openalex.org/I154570441"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022483402"],"corresponding_institution_ids":["https://openalex.org/I4210158342"],"apc_list":null,"apc_paid":null,"fwci":1.175,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.80657021,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"51","issue":"3","first_page":"983","last_page":"992"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9994000196456909,"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":0.9966999888420105,"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/metric","display_name":"Metric (unit)","score":0.7109966278076172},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.6591549515724182},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.656907856464386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.559752345085144},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5051856637001038},{"id":"https://openalex.org/keywords/mean-opinion-score","display_name":"Mean opinion score","score":0.49718549847602844},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.49560225009918213},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4746849238872528},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.45663905143737793},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4156531095504761},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.3386732339859009},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3274897634983063},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24497881531715393},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2342420518398285}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7109966278076172},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.6591549515724182},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.656907856464386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.559752345085144},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5051856637001038},{"id":"https://openalex.org/C62897895","wikidata":"https://www.wikidata.org/wiki/Q1915482","display_name":"Mean opinion score","level":3,"score":0.49718549847602844},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.49560225009918213},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4746849238872528},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.45663905143737793},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4156531095504761},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.3386732339859009},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3274897634983063},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24497881531715393},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2342420518398285},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tce.2005.1510512","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2005.1510512","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","raw_type":"journal-article"},{"id":"pmh:oai:iris.uniroma3.it:11590/158330","is_oa":false,"landing_page_url":"http://hdl.handle.net/11590/158330","pdf_url":null,"source":{"id":"https://openalex.org/S4377196120","display_name":"Iris (Roma Tre University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119003972","host_organization_name":"Roma Tre University","host_organization_lineage":["https://openalex.org/I119003972"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W26020760","https://openalex.org/W1492825767","https://openalex.org/W1536791815","https://openalex.org/W1581676061","https://openalex.org/W1771208861","https://openalex.org/W1982815689","https://openalex.org/W2005838265","https://openalex.org/W2015937190","https://openalex.org/W2019206873","https://openalex.org/W2019996639","https://openalex.org/W2029042542","https://openalex.org/W2043311369","https://openalex.org/W2054201015","https://openalex.org/W2091039437","https://openalex.org/W2092755522","https://openalex.org/W2093104721","https://openalex.org/W2106775624","https://openalex.org/W2107349306","https://openalex.org/W2113045514","https://openalex.org/W2116467012","https://openalex.org/W2120879609","https://openalex.org/W2128861077","https://openalex.org/W2131339022","https://openalex.org/W2152457135","https://openalex.org/W2160221192","https://openalex.org/W2542375385","https://openalex.org/W3182744370","https://openalex.org/W6798756516"],"related_works":["https://openalex.org/W2943685190","https://openalex.org/W3027116454","https://openalex.org/W2046455617","https://openalex.org/W1995358030","https://openalex.org/W2611572988","https://openalex.org/W2100602544","https://openalex.org/W2795889627","https://openalex.org/W4389850132","https://openalex.org/W2288214742","https://openalex.org/W1996919562"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,36,42,58,111,148,159,163],"new":[4],"no-reference":[5],"(NR)":[6],"objective":[7],"metric":[8,16,119,157],"based":[9],"on":[10],"data":[11,74],"hiding":[12],"is":[13,55,63,120],"proposed.":[14],"The":[15,32,114],"has":[17],"the":[18,28,51,53,67,70,82,85,92,97,101,106,117,128,134,138,155,167],"advantage":[19],"of":[20,27,60,69,84,96,116,133],"being":[21],"fast":[22],"and":[23,57,94,104,137,162],"not":[24],"requiring":[25],"knowledge":[26],"original":[29],"video":[30,47,86,136],"contents.":[31],"proposed":[33,118,156],"method":[34],"uses":[35],"spread-spectrum":[37],"embedding":[38,102],"algorithm":[39,103],"to":[40,65,79,126],"embed":[41],"mark":[43,54,108],"(binary":[44],"image)":[45],"into":[46],"frames.":[48],"A":[49],"t":[50],"receiver,":[52],"extracted":[56],"measure":[59],"its":[61,124],"degradation":[62],"used":[64,73],"estimate":[66],"quality":[68,87],"video.":[71,113],"We":[72,90],"gathered":[75],"from":[76,144],"psychophysical":[77,149],"experiments":[78],"help":[80],"in":[81,147],"design":[83],"assessment":[88],"system.":[89],"evaluated":[91],"visibility":[93],"annoyance":[95],"impairments":[98],"caused":[99],"by":[100,122],"estimated":[105,121],"'best'":[107],"strength":[109],"for":[110],"particular":[112],"performance":[115,161],"measuring":[123],"ability":[125],"predict":[127],"total":[129],"squared":[130],"error":[131],"(TSE)":[132],"host":[135],"mean":[139],"observer":[140],"score":[141],"(MOS)":[142],"obtained":[143],"naive":[145],"subjects":[146],"experiment.":[150],"Experimental":[151],"results":[152],"show":[153],"that":[154],"had":[158],"good":[160,164],"correlation":[165],"with":[166],"MOS.":[168]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
