{"id":"https://openalex.org/W2048820076","doi":"https://doi.org/10.1109/tip.2013.2294549","title":"Background-Modeling-Based Adaptive Prediction for Surveillance Video Coding","display_name":"Background-Modeling-Based Adaptive Prediction for Surveillance Video Coding","publication_year":2014,"publication_date":"2014-01-15","ids":{"openalex":"https://openalex.org/W2048820076","doi":"https://doi.org/10.1109/tip.2013.2294549","mag":"2048820076","pmid":"https://pubmed.ncbi.nlm.nih.gov/26270917"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2013.2294549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2013.2294549","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101542456","display_name":"Xianguo Zhang","orcid":"https://orcid.org/0009-0004-9487-3693"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xianguo Zhang","raw_affiliation_strings":["Peking University, School of Electrical Engineering and Computer Science, Beijing, China","National Engineering Lab. for Video Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, School of Electrical Engineering and Computer Science, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"National Engineering Lab. for Video Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058066577","display_name":"Tiejun Huang","orcid":"https://orcid.org/0000-0002-4234-6099"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiejun Huang","raw_affiliation_strings":["Peking University, School of Electrical Engineering and Computer Science, Beijing, China","National Engineering Lab. for Video Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, School of Electrical Engineering and Computer Science, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"National Engineering Lab. for Video Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023918894","display_name":"Yonghong Tian","orcid":"https://orcid.org/0000-0002-2978-5935"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghong Tian","raw_affiliation_strings":["Peking University, School of Electrical Engineering and Computer Science, Beijing, China","National Engineering Lab. for Video Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, School of Electrical Engineering and Computer Science, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"National Engineering Lab. for Video Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018478553","display_name":"Wen Gao","orcid":"https://orcid.org/0000-0002-8070-802X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Gao","raw_affiliation_strings":["Peking University, School of Electrical Engineering and Computer Science, Beijing, China","National Engineering Lab. for Video Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, School of Electrical Engineering and Computer Science, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"National Engineering Lab. for Video Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101542456"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":9.0234,"has_fulltext":false,"cited_by_count":108,"citation_normalized_percentile":{"value":0.98435285,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"23","issue":"2","first_page":"769","last_page":"784"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10331","display_name":"Video Surveillance and Tracking Methods","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":0.9965000152587891,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9923999905586243,"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/computer-science","display_name":"Computer science","score":0.8147094249725342},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6538121104240417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5314027070999146},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.5148667097091675},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47293877601623535},{"id":"https://openalex.org/keywords/algorithmic-efficiency","display_name":"Algorithmic efficiency","score":0.44909486174583435},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.44885608553886414},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4305092692375183},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1269448697566986},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10811102390289307}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8147094249725342},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6538121104240417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5314027070999146},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.5148667097091675},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47293877601623535},{"id":"https://openalex.org/C116709606","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Algorithmic efficiency","level":3,"score":0.44909486174583435},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.44885608553886414},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4305092692375183},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1269448697566986},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10811102390289307},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2013.2294549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2013.2294549","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:26270917","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26270917","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1499877760","https://openalex.org/W1554898059","https://openalex.org/W1603895355","https://openalex.org/W1978309930","https://openalex.org/W1979766878","https://openalex.org/W2003106976","https://openalex.org/W2011698400","https://openalex.org/W2014595103","https://openalex.org/W2037339582","https://openalex.org/W2094852833","https://openalex.org/W2096238205","https://openalex.org/W2096870998","https://openalex.org/W2098067183","https://openalex.org/W2103881587","https://openalex.org/W2112157293","https://openalex.org/W2114701396","https://openalex.org/W2119751394","https://openalex.org/W2121274305","https://openalex.org/W2121696490","https://openalex.org/W2123221155","https://openalex.org/W2123807397","https://openalex.org/W2124860813","https://openalex.org/W2127217676","https://openalex.org/W2129072908","https://openalex.org/W2131567401","https://openalex.org/W2131970298","https://openalex.org/W2135084625","https://openalex.org/W2142912032","https://openalex.org/W2143395756","https://openalex.org/W2148290050","https://openalex.org/W2159477504","https://openalex.org/W2160267559","https://openalex.org/W2160831394","https://openalex.org/W2161584749","https://openalex.org/W2166943865","https://openalex.org/W2166978545","https://openalex.org/W2167534083","https://openalex.org/W2169820905","https://openalex.org/W2471217817","https://openalex.org/W6674448676","https://openalex.org/W6674509028","https://openalex.org/W6674528377","https://openalex.org/W6678058683"],"related_works":["https://openalex.org/W3009161491","https://openalex.org/W2018760684","https://openalex.org/W2380956331","https://openalex.org/W2116936728","https://openalex.org/W2806397197","https://openalex.org/W2986238322","https://openalex.org/W1992296783","https://openalex.org/W2460818705","https://openalex.org/W2033101247","https://openalex.org/W1788638207"],"abstract_inverted_index":{"The":[0],"exponential":[1],"growth":[2],"of":[3,40,44,105,231],"surveillance":[4,12,29,45,71,201,235],"videos":[5,46,202],"presents":[6],"an":[7],"unprecedented":[8],"challenge":[9],"for":[10,26,171,219],"high-efficiency":[11],"video":[13,30,72],"coding":[14,20,31,222],"technology.":[15],"Compared":[16],"with":[17,212],"the":[18,37,41,64,75,103,116,123,127,132,136,143,147,154,159,163,168,174,190,197,220,228],"existing":[19],"standards":[21],"that":[22,121,141,189],"were":[23],"basically":[24],"developed":[25],"generic":[27],"videos,":[28,236],"should":[32],"be":[33,92],"designed":[34],"to":[35,62,91,102,227],"make":[36],"best":[38],"use":[39],"special":[42],"characteristics":[43],"(e.g.,":[47],"relative":[48],"static":[49],"background).":[50],"To":[51],"do":[52],"so,":[53],"this":[54,87],"paper":[55],"first":[56],"conducts":[57],"two":[58,108],"analyses":[59],"on":[60,200],"how":[61],"improve":[63,158],"background":[65,117,124,137,148,152,166,184],"and":[66,135],"foreground":[67,221],"prediction":[68,83,119,139,160],"efficiencies":[69],"in":[70,146,234],"coding.":[73],"Following":[74],"analysis":[76],"results,":[77],"we":[78],"propose":[79],"a":[80,178,213],"background-modeling-based":[81],"adaptive":[82],"(BMAP)":[84],"method.":[85],"In":[86],"method,":[88],"all":[89],"blocks":[90],"encoded":[93],"are":[94,112],"firstly":[95],"classified":[96],"into":[97],"three":[98],"categories.":[99],"Then,":[100],"according":[101],"category":[104],"each":[106],"block,":[107],"novel":[109],"inter":[110],"predictions":[111],"selectively":[113],"utilized,":[114],"namely,":[115],"reference":[118,134,180],"(BRP)":[120],"uses":[122],"modeled":[125],"from":[126],"original":[128],"input":[129],"frames":[130],"as":[131,167,203],"long-term":[133],"difference":[138,149],"(BDP)":[140],"predicts":[142],"current":[144],"data":[145],"domain.":[150],"For":[151],"blocks,":[153,173],"BRP":[155],"can":[156,176,192],"effectively":[157],"efficiency":[161],"using":[162],"higher":[164],"quality":[165,230],"reference;":[169],"whereas":[170],"foreground-background-hybrid":[172],"BDP":[175],"provide":[177],"better":[179],"after":[181],"subtracting":[182],"its":[183],"pixels.":[185],"Experimental":[186],"results":[187],"show":[188],"BMAP":[191,237],"achieve":[193],"at":[194],"least":[195],"twice":[196],"compression":[198],"ratio":[199],"AVC":[204],"(MPEG-4":[205],"Advanced":[206],"Video":[207],"Coding)":[208],"high":[209],"profile,":[210],"yet":[211],"slightly":[214],"additional":[215],"encoding":[216],"complexity.":[217],"Moreover,":[218],"performance,":[223],"which":[224],"is":[225],"crucial":[226],"subjective":[229],"moving":[232],"objects":[233],"also":[238],"obtains":[239],"remarkable":[240],"gains":[241],"over":[242],"several":[243],"state-of-the-art":[244],"methods.":[245]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":15},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}