{"id":"https://openalex.org/W2472152852","doi":"https://doi.org/10.1109/qomex.2016.7498959","title":"No-reference image quality assessment based on statistics of Local Ternary Pattern","display_name":"No-reference image quality assessment based on statistics of Local Ternary Pattern","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2472152852","doi":"https://doi.org/10.1109/qomex.2016.7498959","mag":"2472152852"},"language":"en","primary_location":{"id":"doi:10.1109/qomex.2016.7498959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qomex.2016.7498959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5011069017","display_name":"Pedro Garcia Freitas","orcid":"https://orcid.org/0000-0003-0866-658X"},"institutions":[{"id":"https://openalex.org/I150729083","display_name":"Universidade de Bras\u00edlia","ror":"https://ror.org/02xfp8v59","country_code":"BR","type":"education","lineage":["https://openalex.org/I150729083"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Pedro Garcia Freitas","raw_affiliation_strings":["Department of Computer Science, University of Bras\u00edlia, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Bras\u00edlia, Brazil","institution_ids":["https://openalex.org/I150729083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070455927","display_name":"Welington Y. L. Akamine","orcid":null},"institutions":[{"id":"https://openalex.org/I150729083","display_name":"Universidade de Bras\u00edlia","ror":"https://ror.org/02xfp8v59","country_code":"BR","type":"education","lineage":["https://openalex.org/I150729083"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Welington Y.L. Akamine","raw_affiliation_strings":["Department of Electrical Engineering, University of Bras\u00edlia, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Bras\u00edlia, Brazil","institution_ids":["https://openalex.org/I150729083"]}]},{"author_position":"last","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/I150729083","display_name":"Universidade de Bras\u00edlia","ror":"https://ror.org/02xfp8v59","country_code":"BR","type":"education","lineage":["https://openalex.org/I150729083"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Mylene C.Q. Farias","raw_affiliation_strings":["Department of Electrical Engineering, University of Bras\u00edlia, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Bras\u00edlia, Brazil","institution_ids":["https://openalex.org/I150729083"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150729083"],"apc_list":null,"apc_paid":null,"fwci":2.2142,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.94785159,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998999834060669,"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/T11165","display_name":"Image and Video Quality Assessment","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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.982200026512146,"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/local-binary-patterns","display_name":"Local binary patterns","score":0.8370884656906128},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7438284158706665},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7352506518363953},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7145587801933289},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6408092975616455},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5062729120254517},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5024642944335938},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4740550220012665},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4007725119590759},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37486332654953003}],"concepts":[{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.8370884656906128},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7438284158706665},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7352506518363953},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7145587801933289},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6408092975616455},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5062729120254517},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5024642944335938},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4740550220012665},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4007725119590759},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37486332654953003},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/qomex.2016.7498959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qomex.2016.7498959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320326287","display_name":"Funda\u00e7\u00e3o de Empreendimentos Cient\u00edficos e Tecnol\u00f3gicos","ror":"https://ror.org/017z2hs09"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1532779396","https://openalex.org/W1855349376","https://openalex.org/W1964357740","https://openalex.org/W1974013408","https://openalex.org/W1980403059","https://openalex.org/W1982471090","https://openalex.org/W1987489060","https://openalex.org/W2006902599","https://openalex.org/W2008051965","https://openalex.org/W2021345827","https://openalex.org/W2035713052","https://openalex.org/W2039051707","https://openalex.org/W2056642781","https://openalex.org/W2068403421","https://openalex.org/W2073623229","https://openalex.org/W2101234009","https://openalex.org/W2129644086","https://openalex.org/W2133665775","https://openalex.org/W2161907179","https://openalex.org/W2171349048","https://openalex.org/W2172058006","https://openalex.org/W2191457296","https://openalex.org/W2222674814","https://openalex.org/W6647225686","https://openalex.org/W6667535573","https://openalex.org/W6675354045","https://openalex.org/W6687426099"],"related_works":["https://openalex.org/W2581696209","https://openalex.org/W2020430625","https://openalex.org/W2044065526","https://openalex.org/W2955952267","https://openalex.org/W2058306460","https://openalex.org/W2083564146","https://openalex.org/W2076436625","https://openalex.org/W2168886923","https://openalex.org/W2049095871","https://openalex.org/W2148428954"],"abstract_inverted_index":{"In":[0],"this":[1,85],"paper,":[2],"we":[3,87],"propose":[4,88],"a":[5,15,29,40,89,148],"new":[6],"no-reference":[7,130,144],"image":[8,81,124,150],"quality":[9,151],"assessment":[10],"(NR-IQA)":[11],"method":[12,118,128,137],"that":[13,38,91,134],"uses":[14,92,103],"machine":[16],"learning":[17],"technique":[18],"based":[19],"on":[20],"Local":[21,32],"Ternary":[22],"Pattern":[23,34],"(LTP)":[24],"descriptors.":[25],"LTP":[26,50,73,94,108],"descriptors":[27,37,74],"are":[28,75],"generalization":[30],"of":[31,106],"Binary":[33],"(LBP)":[35],"texture":[36,98],"provide":[39],"significant":[41],"performance":[42],"improvement":[43],"when":[44],"compared":[45],"to":[46,54,64,68,71,78,96,121],"LBP.":[47],"More":[48],"specifically,":[49],"is":[51,119,129,138],"less":[52],"susceptible":[53],"noise":[55],"in":[56],"uniform":[57],"regions,":[58],"but":[59],"no":[60],"longer":[61],"rigidly":[62],"invariant":[63],"gray-level":[65],"transformation.":[66],"Due":[67],"its":[69],"insensitivity":[70],"noise,":[72],"not":[76],"able":[77,120],"detect":[79],"milder":[80],"degradation.":[82],"To":[83],"tackle":[84],"issue,":[86],"strategy":[90],"multiple":[93],"channels":[95,109],"extract":[97],"information.":[99],"The":[100,116],"prediction":[101,152],"algorithm":[102],"the":[104,113,127,135],"histograms":[105],"these":[107],"as":[110],"features":[111],"for":[112],"training":[114],"procedure.":[115],"proposed":[117,136],"blindly":[122],"predict":[123],"quality,":[125],"i.e.,":[126],"(NR).":[131],"Results":[132],"show":[133],"considerably":[139],"faster":[140],"than":[141],"other":[142],"state-of-the-art":[143],"methods,":[145],"while":[146],"maintaining":[147],"competitive":[149],"accuracy.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
