{"id":"https://openalex.org/W2128770501","doi":"https://doi.org/10.1109/icip.2005.1530348","title":"No-reference video quality metric based on artifact measurements","display_name":"No-reference video quality metric based on artifact measurements","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2128770501","doi":"https://doi.org/10.1109/icip.2005.1530348","mag":"2128770501"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2005.1530348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2005.1530348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Image Processing 2005","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/A5022483402","display_name":"Myl\u00e8ne C. Q. Farias","orcid":"https://orcid.org/0000-0002-1957-9943"},"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":true,"raw_author_name":"M.C.Q. Farias","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA, USA","Dept. of Electr. & Comput. Eng., California Univ. Santa Barbara, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., California Univ. Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101589562","display_name":"S.K. Mitra","orcid":"https://orcid.org/0000-0002-5174-6027"},"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":["Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA, USA","Dept. of Electr. & Comput. Eng., California Univ. Santa Barbara, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., California Univ. Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5022483402"],"corresponding_institution_ids":["https://openalex.org/I154570441"],"apc_list":null,"apc_paid":null,"fwci":2.35,"has_fulltext":false,"cited_by_count":108,"citation_normalized_percentile":{"value":0.89670304,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"III","last_page":"141"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998000264167786,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9998000264167786,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9976000189781189,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9866999983787537,"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/artifact","display_name":"Artifact (error)","score":0.8879153728485107},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.8170174360275269},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6586121916770935},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5960286259651184},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5153605341911316},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45419836044311523},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4353472590446472},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07975682616233826}],"concepts":[{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.8879153728485107},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.8170174360275269},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6586121916770935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5960286259651184},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5153605341911316},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45419836044311523},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4353472590446472},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07975682616233826},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2005.1530348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2005.1530348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Image Processing 2005","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1992328824","https://openalex.org/W2019206873","https://openalex.org/W2020522286","https://openalex.org/W2075635649","https://openalex.org/W2106775624","https://openalex.org/W2113045514","https://openalex.org/W2114338738","https://openalex.org/W2128923930","https://openalex.org/W2154799811","https://openalex.org/W2169527543","https://openalex.org/W4246922995"],"related_works":["https://openalex.org/W52840052","https://openalex.org/W3162837891","https://openalex.org/W1687852313","https://openalex.org/W3029243869","https://openalex.org/W2502336004","https://openalex.org/W1741504538","https://openalex.org/W4308623176","https://openalex.org/W4230676417","https://openalex.org/W2019696434","https://openalex.org/W2358078963"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"present":[4,113],"a":[5,46,82,94,102,106,114],"no-reference":[6],"video":[7],"quality":[8],"metric":[9,71,104],"based":[10,92],"on":[11,72,93],"individual":[12],"measurements":[13],"of":[14,23,65,84,96],"three":[15],"artifacts:":[16],"blockiness,":[17],"blurriness,":[18],"and":[19,53,105,121],"noisiness.":[20],"The":[21,41,60],"set":[22],"artifact":[24,79,85,98],"metrics":[25,42,99],"(physical":[26],"strength":[27],"measurements)":[28],"was":[29],"designed":[30],"to":[31,35,68],"be":[32,36],"simple":[33],"enough":[34],"used":[37],"in":[38,126],"real-time":[39],"applications.":[40],"are":[43,109],"tested":[44],"using":[45,100],"proposed":[47],"procedure":[48],"that":[49],"uses":[50],"synthetic":[51],"artifacts":[52],"subjective":[54],"data":[55,120],"obtained":[56],"from":[57],"previous":[58],"experiments.":[59],"technique":[61],"has":[62],"the":[63,77,89,97,119],"advantage":[64],"allowing":[66],"us":[67],"test":[69],"each":[70],"videos":[73],"which":[74],"contain":[75],"only":[76],"desired":[78],"signal":[80],"or":[81],"combination":[83,95],"signals.":[86],"Models":[87],"for":[88],"overall":[90],"annoyance":[91],"both":[101],"Minkowski":[103],"linear":[107],"model":[108],"developed.":[110],"Both":[111],"models":[112],"very":[115],"good":[116],"correlation":[117],"with":[118],"show":[122],"no":[123],"statistical":[124],"difference":[125],"their":[127],"performances.":[128]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":12},{"year":2012,"cited_by_count":11}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}