{"id":"https://openalex.org/W3013284449","doi":"https://doi.org/10.1109/icce46568.2020.9043055","title":"Rate SSIM Based Preprocessing for Video Coding","display_name":"Rate SSIM Based Preprocessing for Video Coding","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3013284449","doi":"https://doi.org/10.1109/icce46568.2020.9043055","mag":"3013284449"},"language":"en","primary_location":{"id":"doi:10.1109/icce46568.2020.9043055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce46568.2020.9043055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Consumer Electronics (ICCE)","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/A5038924501","display_name":"Guoqing Xiang","orcid":"https://orcid.org/0000-0001-5831-1897"},"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":"Guoqing Xiang","raw_affiliation_strings":["EECS of Peking University, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"EECS of Peking University, Beijing, P.R. China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027946490","display_name":"Huizhu Jia","orcid":"https://orcid.org/0000-0002-2778-3768"},"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":"Huizhu Jia","raw_affiliation_strings":["EECS of Peking University, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"EECS of Peking University, Beijing, P.R. China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066825855","display_name":"Kaijin Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaijin Wei","raw_affiliation_strings":["Alibaba Inc, Shanghai, P.R. China"],"affiliations":[{"raw_affiliation_string":"Alibaba Inc, Shanghai, P.R. China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067183063","display_name":"Fan Yang","orcid":"https://orcid.org/0000-0002-3431-2585"},"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":"Fan Yang","raw_affiliation_strings":["EECS of Peking University, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"EECS of Peking University, Beijing, P.R. China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064736086","display_name":"Yuan Li","orcid":"https://orcid.org/0000-0002-7023-8677"},"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":"Yuan Li","raw_affiliation_strings":["EECS of Peking University, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"EECS of Peking University, Beijing, P.R. China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101585261","display_name":"Xiaodong Xie","orcid":"https://orcid.org/0000-0002-4325-7741"},"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":"Xiaodong Xie","raw_affiliation_strings":["EECS of Peking University, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"EECS of Peking University, Beijing, P.R. China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5038924501"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.0981,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37143331,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"5"},"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.6871738433837891},{"id":"https://openalex.org/keywords/rate\u2013distortion-optimization","display_name":"Rate\u2013distortion optimization","score":0.6555657982826233},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6228138208389282},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6186665892601013},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6127071380615234},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5150753855705261},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4606807827949524},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.45966777205467224},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.43852925300598145},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4334244728088379},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.423420786857605},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3990127742290497},{"id":"https://openalex.org/keywords/multiview-video-coding","display_name":"Multiview Video Coding","score":0.3076080083847046},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2189696729183197},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.19884058833122253},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.1612682342529297},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07123938202857971}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6871738433837891},{"id":"https://openalex.org/C50056821","wikidata":"https://www.wikidata.org/wiki/Q774502","display_name":"Rate\u2013distortion optimization","level":5,"score":0.6555657982826233},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6228138208389282},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6186665892601013},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6127071380615234},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5150753855705261},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4606807827949524},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.45966777205467224},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.43852925300598145},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4334244728088379},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.423420786857605},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3990127742290497},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.3076080083847046},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2189696729183197},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.19884058833122253},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.1612682342529297},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07123938202857971},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icce46568.2020.9043055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce46568.2020.9043055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"},{"id":"mag:3041442853","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002235084349352","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1984288074","https://openalex.org/W1991597308","https://openalex.org/W2085067309","https://openalex.org/W2087796440","https://openalex.org/W2128298440","https://openalex.org/W2146519989","https://openalex.org/W2249544981","https://openalex.org/W2516785012","https://openalex.org/W2563462775","https://openalex.org/W2770740409"],"related_works":["https://openalex.org/W2045735464","https://openalex.org/W2099031831","https://openalex.org/W1982720242","https://openalex.org/W4388134597","https://openalex.org/W2113471818","https://openalex.org/W101275777","https://openalex.org/W4389390133","https://openalex.org/W2035981816","https://openalex.org/W2123694428","https://openalex.org/W4361854065"],"abstract_inverted_index":{"An":[0],"effectively":[1],"perceptual":[2,31],"preprocessing":[3,36],"filter":[4,37,54,69,79],"method":[5],"will":[6],"reduce":[7],"the":[8,18,24,56,76,102,121],"sequence's":[9],"perceptually":[10],"insignificant":[11],"details,":[12],"which":[13],"can":[14],"help":[15],"to":[16,41,66],"alleviate":[17],"video":[19,44,78],"coding's":[20],"pressure":[21],"and":[22,89,98,125],"benefit":[23],"coding":[25],"results.":[26],"In":[27],"this":[28],"paper,":[29],"a":[30],"rate":[32,57],"distortion":[33],"optimization":[34,64],"based":[35,63,92],"algorithm":[38,49,80,110],"is":[39],"presented":[40],"achieve":[42],"better":[43],"compression":[45],"performance.":[46],"The":[47,71],"proposed":[48,77],"employs":[50],"an":[51],"adaptively":[52],"temporal":[53],"with":[55,87,115],"SSIM":[58,91],"(Structure":[59],"Similarity":[60],"Index":[61],"Metric)":[62],"constraint":[65],"produces":[67],"optimal":[68],"parameters.":[70],"evaluation":[72],"results":[73,106],"confirm":[74],"that":[75,108],"has":[81,111],"achieved":[82],"reliable":[83],"rate-visual":[84],"quality":[85,104],"improvements":[86],"-4.35%":[88],"-2.96%":[90],"BD-Rate":[93],"performance":[94],"gain":[95],"on":[96,123],"JM18.3":[97,124],"HM16.9,":[99],"respectively.":[100],"Additionally,":[101],"subjective":[103],"comparison":[105],"show":[107],"our":[109],"reduced":[112],"significant":[113],"bits":[114],"negligible":[116],"visual":[117],"difference":[118],"for":[119],"both":[120],"experiments":[122],"HM16.9.":[126]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}