{"id":"https://openalex.org/W2011641918","doi":"https://doi.org/10.1109/mmsp.2014.6958825","title":"Compression of HD videos by a contrast-based human attention algorithm","display_name":"Compression of HD videos by a contrast-based human attention algorithm","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W2011641918","doi":"https://doi.org/10.1109/mmsp.2014.6958825","mag":"2011641918"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2014.6958825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2014.6958825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 16th International Workshop on Multimedia Signal Processing (MMSP)","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/A5032292881","display_name":"Sylvia O. N\u2019guessan","orcid":null},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sylvia O. N'guessan","raw_affiliation_strings":["Computer Engineering Department, Santa Clara University, Santa Clara, California, USA","Computer Engineering Department, Santa Clara University 500 El Camino Real, Santa Clara, California, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Engineering Department, Santa Clara University, Santa Clara, California, USA","institution_ids":["https://openalex.org/I16269868"]},{"raw_affiliation_string":"Computer Engineering Department, Santa Clara University 500 El Camino Real, Santa Clara, California, USA","institution_ids":["https://openalex.org/I16269868"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018686979","display_name":"Nam Ling","orcid":"https://orcid.org/0000-0002-5741-7937"},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nam Ling","raw_affiliation_strings":["Computer Engineering Department, Santa Clara University, Santa Clara, California, USA","Computer Engineering Department, Santa Clara University 500 El Camino Real, Santa Clara, California, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Engineering Department, Santa Clara University, Santa Clara, California, USA","institution_ids":["https://openalex.org/I16269868"]},{"raw_affiliation_string":"Computer Engineering Department, Santa Clara University 500 El Camino Real, Santa Clara, California, USA","institution_ids":["https://openalex.org/I16269868"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111632139","display_name":"Zhouye Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhouye Gu","raw_affiliation_strings":["Computer Engineering Department, Santa Clara University, Santa Clara, California, USA","Computer Engineering Department, Santa Clara University 500 El Camino Real, Santa Clara, California, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Engineering Department, Santa Clara University, Santa Clara, California, USA","institution_ids":["https://openalex.org/I16269868"]},{"raw_affiliation_string":"Computer Engineering Department, Santa Clara University 500 El Camino Real, Santa Clara, California, USA","institution_ids":["https://openalex.org/I16269868"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16269868"],"apc_list":null,"apc_paid":null,"fwci":0.1798,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.41790495,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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/T11605","display_name":"Visual Attention and Saliency Detection","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/T11165","display_name":"Image and Video Quality Assessment","score":0.9993000030517578,"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":0.9948999881744385,"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":0.8100242614746094},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.7555924654006958},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.7052714824676514},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.6228362321853638},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5879548788070679},{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.5859209299087524},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5670707821846008},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5424445867538452},{"id":"https://openalex.org/keywords/visual-attention","display_name":"Visual attention","score":0.5317823886871338},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.5131483674049377},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.48555514216423035},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.45441871881484985},{"id":"https://openalex.org/keywords/human-motion","display_name":"Human motion","score":0.4211377203464508},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40557703375816345},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.2674899995326996},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10919660329818726}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8100242614746094},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.7555924654006958},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.7052714824676514},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.6228362321853638},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5879548788070679},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.5859209299087524},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5670707821846008},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5424445867538452},{"id":"https://openalex.org/C2986089797","wikidata":"https://www.wikidata.org/wiki/Q6501338","display_name":"Visual attention","level":3,"score":0.5317823886871338},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.5131483674049377},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.48555514216423035},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.45441871881484985},{"id":"https://openalex.org/C2986578859","wikidata":"https://www.wikidata.org/wiki/Q657632","display_name":"Human motion","level":3,"score":0.4211377203464508},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40557703375816345},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.2674899995326996},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10919660329818726},{"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},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp.2014.6958825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2014.6958825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 16th International Workshop on Multimedia Signal Processing (MMSP)","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":16,"referenced_works":["https://openalex.org/W1485698416","https://openalex.org/W1944744906","https://openalex.org/W1979169878","https://openalex.org/W1987527866","https://openalex.org/W1989480235","https://openalex.org/W2009768507","https://openalex.org/W2019612949","https://openalex.org/W2055968196","https://openalex.org/W2112761918","https://openalex.org/W2126532873","https://openalex.org/W2128272608","https://openalex.org/W2155998593","https://openalex.org/W2160468226","https://openalex.org/W2171025892","https://openalex.org/W4206519171","https://openalex.org/W6683752688"],"related_works":["https://openalex.org/W3089421211","https://openalex.org/W2152509098","https://openalex.org/W2056921885","https://openalex.org/W2753186118","https://openalex.org/W2000518209","https://openalex.org/W2748894200","https://openalex.org/W4322630379","https://openalex.org/W2589004002","https://openalex.org/W2425469620","https://openalex.org/W1997296376"],"abstract_inverted_index":{"The":[0],"emergence":[1],"of":[2,9,18,26,29,82,109,124,146],"social":[3],"networks":[4],"combined":[5],"with":[6],"the":[7,27,33,37,90,96,103,121,144,151],"prevalence":[8],"mobile":[10],"technology":[11],"has":[12],"led":[13],"to":[14,35,61,89,112,114],"an":[15],"increasing":[16],"demand":[17],"high":[19],"definition":[20],"video":[21,30,38],"transmission":[22],"and":[23,78,165],"storage.":[24],"One":[25],"challenges":[28],"compression":[31,55],"is":[32,72,156],"ability":[34],"reduce":[36,120],"size":[39,145],"without":[40],"significant":[41],"visual":[42,98],"quality":[43],"loss.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48,119],"propose":[49],"a":[50,73,83,129],"new":[51],"method":[52],"that":[53,76,140],"achieves":[54],"reduction":[56],"levels":[57],"ranging":[58],"from":[59,95],"2.6%":[60],"16.9%":[62],"while":[63],"maintaining":[64],"or":[65],"improving":[66],"subjective":[67],"quality.":[68],"Precisely,":[69],"our":[70,141],"approach":[71],"saliency-aware":[74],"mechanism":[75],"predicts":[77],"classifies":[79],"regions-of-interests":[80],"(ROIs)":[81],"typical":[84],"human":[85,97,106],"eye":[86],"gaze":[87],"according":[88],"static":[91],"attention":[92,107],"model":[93],"(SAM)":[94],"system":[99],"(HVS).":[100],"We":[101],"coin":[102],"term":[104],"contrast":[105],"regions":[108],"interest":[110],"(Contrast-HAROIs)":[111],"refer":[113],"those":[115,125],"identified":[116],"regions.":[117],"Finally,":[118],"data":[122],"load":[123],"non":[126],"Contrast-HAROIs":[127],"via":[128],"smoothing":[130],"spatial":[131],"filter.":[132],"Experimental":[133],"results":[134],"carried":[135],"on":[136],"eight":[137],"sequences":[138],"show":[139],"technique":[142],"reduces":[143],"HD":[147],"videos":[148],"further":[149],"than":[150,162],"standard":[152],"H.264/AVC.":[153],"Moreover,":[154],"it":[155],"in":[157],"average":[158],"30%":[159],"times":[160],"faster":[161],"another":[163],"saliency":[164],"motion":[166],"aware":[167],"algorithm.":[168]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
