{"id":"https://openalex.org/W3015863973","doi":"https://doi.org/10.1109/icassp40776.2020.9053634","title":"BBAND INDEX: A NO-REFERENCE BANDING ARTIFACT PREDICTOR","display_name":"BBAND INDEX: A NO-REFERENCE BANDING ARTIFACT PREDICTOR","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015863973","doi":"https://doi.org/10.1109/icassp40776.2020.9053634","mag":"3015863973"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5015173810","display_name":"Zhengzhong Tu","orcid":"https://orcid.org/0000-0002-7594-2292"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhengzhong Tu","raw_affiliation_strings":["Laboratory for Image and Video Engineering (LIVE), The University of Texas at Austin"],"affiliations":[{"raw_affiliation_string":"Laboratory for Image and Video Engineering (LIVE), The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101653582","display_name":"J. Lin","orcid":"https://orcid.org/0000-0002-5916-1787"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jessie Lin","raw_affiliation_strings":["YouTube Media Algorithms Team, Google Inc"],"affiliations":[{"raw_affiliation_string":"YouTube Media Algorithms Team, Google Inc","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100449864","display_name":"Yilin Wang","orcid":"https://orcid.org/0000-0003-4031-8753"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yilin Wang","raw_affiliation_strings":["YouTube Media Algorithms Team, Google Inc"],"affiliations":[{"raw_affiliation_string":"YouTube Media Algorithms Team, Google Inc","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060507975","display_name":"Balu Adsumilli","orcid":"https://orcid.org/0000-0002-5187-6331"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Balu Adsumilli","raw_affiliation_strings":["YouTube Media Algorithms Team, Google Inc"],"affiliations":[{"raw_affiliation_string":"YouTube Media Algorithms Team, Google Inc","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075463806","display_name":"Alan C. Bovik","orcid":"https://orcid.org/0000-0001-6067-710X"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alan C. Bovik","raw_affiliation_strings":["Laboratory for Image and Video Engineering (LIVE), The University of Texas at Austin"],"affiliations":[{"raw_affiliation_string":"Laboratory for Image and Video Engineering (LIVE), The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5015173810"],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":2.9484,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.9259998,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2712","last_page":"2716"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","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/T11165","display_name":"Image and Video Quality Assessment","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/T11019","display_name":"Image Enhancement Techniques","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":0.9997000098228455,"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":0.7995748519897461},{"id":"https://openalex.org/keywords/contouring","display_name":"Contouring","score":0.7608959078788757},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7519565224647522},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7407194375991821},{"id":"https://openalex.org/keywords/compression-artifact","display_name":"Compression artifact","score":0.7090590596199036},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6550893187522888},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.568576991558075},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5548447966575623},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5213314890861511},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.45160260796546936},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4209175705909729},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4077036678791046},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.14394989609718323},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1302177906036377},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11313888430595398},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.10398039221763611}],"concepts":[{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.7995748519897461},{"id":"https://openalex.org/C2779104521","wikidata":"https://www.wikidata.org/wiki/Q23058469","display_name":"Contouring","level":2,"score":0.7608959078788757},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7519565224647522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7407194375991821},{"id":"https://openalex.org/C57654395","wikidata":"https://www.wikidata.org/wiki/Q1097775","display_name":"Compression artifact","level":5,"score":0.7090590596199036},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6550893187522888},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.568576991558075},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5548447966575623},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5213314890861511},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.45160260796546936},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4209175705909729},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4077036678791046},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.14394989609718323},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1302177906036377},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11313888430595398},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.10398039221763611},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1994387337","https://openalex.org/W1998371349","https://openalex.org/W2023020573","https://openalex.org/W2024066070","https://openalex.org/W2074883210","https://openalex.org/W2099244020","https://openalex.org/W2102166818","https://openalex.org/W2106775624","https://openalex.org/W2108364340","https://openalex.org/W2114338738","https://openalex.org/W2123134717","https://openalex.org/W2125188192","https://openalex.org/W2127476879","https://openalex.org/W2128444614","https://openalex.org/W2133665775","https://openalex.org/W2140199336","https://openalex.org/W2140952319","https://openalex.org/W2145023731","https://openalex.org/W2146395539","https://openalex.org/W2150560898","https://openalex.org/W2161907179","https://openalex.org/W2169037956","https://openalex.org/W2484410333","https://openalex.org/W2516484576","https://openalex.org/W2524326037","https://openalex.org/W2616802308","https://openalex.org/W2883793412","https://openalex.org/W6678824024","https://openalex.org/W6737982354"],"related_works":["https://openalex.org/W2028761375","https://openalex.org/W2915337797","https://openalex.org/W2360204191","https://openalex.org/W2968335000","https://openalex.org/W2044363672","https://openalex.org/W4402168542","https://openalex.org/W2073091389","https://openalex.org/W2045558343","https://openalex.org/W4315646535","https://openalex.org/W3016727056"],"abstract_inverted_index":{"Banding":[0],"artifact,":[1,37],"or":[2],"false":[3],"contouring,":[4],"is":[5,59],"a":[6,40,70,77],"common":[7],"video":[8,44,86],"compression":[9],"impairment":[10],"that":[11,91],"tends":[12],"to":[13],"appear":[14],"on":[15],"large":[16],"flat":[17],"regions":[18],"in":[19,30],"encoded":[20],"videos.":[21,32],"These":[22],"staircase-shaped":[23],"color":[24],"bands":[25],"can":[26,68],"be":[27],"very":[28],"noticeable":[29],"high-definition":[31],"Here":[33],"we":[34],"study":[35],"this":[36],"and":[38,75,85,100],"propose":[39],"new":[41],"distortion-specific":[42],"no-reference":[43],"quality":[45],"model":[46],"for":[47],"predicting":[48],"banding":[49,72,78,97],"artifacts,":[50],"called":[51],"the":[52,83],"Blind":[53],"BANding":[54],"Detector":[55],"(BBAND":[56],"index).":[57],"BBAND":[58],"inspired":[60],"by":[61],"human":[62],"visual":[63],"models.":[64],"The":[65],"proposed":[66,93],"detector":[67],"generate":[69],"pixel-wise":[71],"visibility":[73],"map":[74],"output":[76],"severity":[79],"score":[80],"at":[81],"both":[82],"frame":[84],"levels.":[87],"Experimental":[88],"results":[89],"show":[90],"our":[92],"method":[94],"outperforms":[95],"state-of-the-art":[96],"detection":[98],"algorithms":[99],"delivers":[101],"better":[102],"consistency":[103],"with":[104],"subjective":[105],"evaluations.":[106]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":5}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}
