{"id":"https://openalex.org/W3080715109","doi":"https://doi.org/10.1109/mipr49039.2020.00072","title":"BSTN: An Effective Framework for Compressed Video Quality Enhancement","display_name":"BSTN: An Effective Framework for Compressed Video Quality Enhancement","publication_year":2020,"publication_date":"2020-08-01","ids":{"openalex":"https://openalex.org/W3080715109","doi":"https://doi.org/10.1109/mipr49039.2020.00072","mag":"3080715109"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/mipr49039.2020.00072","pdf_url":null,"source":{"id":"https://openalex.org/S4306498492","display_name":"2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)","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":false},"type":"article","type_crossref":"proceedings-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/A5080521697","display_name":"Xiandong Meng","orcid":"https://orcid.org/0000-0002-1295-769X"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiandong Meng","raw_affiliation_strings":["The Hong Kong University of Science and Technology, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078019709","display_name":"Xuan Deng","orcid":"https://orcid.org/0000-0002-3917-5305"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Deng","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089933678","display_name":"Shuyuan Zhu","orcid":"https://orcid.org/0000-0003-4450-3868"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyuan Zhu","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077470082","display_name":"Bing Zeng","orcid":"https://orcid.org/0000-0002-4491-7967"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Zeng","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.288,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.357402,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":73,"max":77},"biblio":{"volume":null,"issue":null,"first_page":"320","last_page":"325"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9999,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9999,"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":0.9993,"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":0.9984,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical Flow","score":0.5507171},{"id":"https://openalex.org/keywords/inter-frame","display_name":"Inter frame","score":0.44403124}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.801541},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.67089343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6153752},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6104319},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6053596},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5507171},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.46224856},{"id":"https://openalex.org/C39394851","wikidata":"https://www.wikidata.org/wiki/Q921594","display_name":"Inter frame","level":4,"score":0.44403124},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.4367776},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4207051},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2095027},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18287855},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10728526},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.064163655},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/mipr49039.2020.00072","pdf_url":null,"source":{"id":"https://openalex.org/S4306498492","display_name":"2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)","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":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.71,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":18,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1989510016","https://openalex.org/W2004185490","https://openalex.org/W2142683286","https://openalex.org/W2508457857","https://openalex.org/W2510648513","https://openalex.org/W2560474170","https://openalex.org/W2612222456","https://openalex.org/W2752782242","https://openalex.org/W2757828535","https://openalex.org/W2894983512","https://openalex.org/W2901614173","https://openalex.org/W2963420686","https://openalex.org/W2964125708","https://openalex.org/W2970106976","https://openalex.org/W3013186840","https://openalex.org/W3100087914","https://openalex.org/W3102974666"],"related_works":["https://openalex.org/W2402509807","https://openalex.org/W2367517378","https://openalex.org/W2120898383","https://openalex.org/W2120864667","https://openalex.org/W2117554142","https://openalex.org/W2003112538","https://openalex.org/W1999265669","https://openalex.org/W1981663193","https://openalex.org/W1979421866","https://openalex.org/W1769856625"],"abstract_inverted_index":{"In":[0,70],"this":[1],"paper,":[2],"we":[3,72],"propose":[4],"a":[5,48,74,108],"boundary-guided":[6],"spatial-temporal":[7],"network":[8,89,106],"(BSTN)":[9],"to":[10,26,56,86,90,113,130],"enhance":[11,114],"the":[12,21,28,31,43,64,79,94,99,115,132,153],"quality":[13,117],"of":[14,82,96,118],"HEVC":[15],"compressed":[16],"videos.":[17],"We":[18,135],"first":[19],"adopt":[20],"advanced":[22],"optical":[23],"flow":[24],"algorithm":[25],"estimate":[27],"motion":[29,45],"between":[30,63],"current":[32,68,119],"frame":[33,59],"and":[34,67,98,157],"its":[35],"frames,":[36],"these":[37],"adjacent":[38],"frames":[39,66],"are":[40,128],"pre-warped":[41],"by":[42,77,107],"estimated":[44],"flow.":[46],"Then,":[47],"bi-directional":[49],"residual":[50],"convolutional":[51,124],"LSTM":[52],"(BRCLSTM)":[53],"is":[54,102],"designed":[55],"implicitly":[57],"discover":[58],"variations":[60],"over":[61],"time":[62],"compensated":[65],"frame.":[69,120,134],"addition,":[71],"generate":[73],"guided":[75,100],"map":[76,101],"utilizing":[78],"partition":[80],"information":[81],"transform":[83],"units":[84],"(TUs)":[85],"guide":[87],"our":[88,105,137,146],"concentrate":[91],"more":[92],"on":[93],"boundaries":[95],"TUs,":[97],"fused":[103],"into":[104],"boundary":[109],"attention":[110],"fusion":[111],"module":[112],"reconstructed":[116],"Finally,":[121],"some":[122],"stacked":[123],"layers":[125],"with":[126],"ReLU":[127],"used":[129],"reconstruct":[131],"desired":[133],"evaluate":[136],"method":[138,147],"under":[139],"different":[140],"configurations.":[141],"Experimental":[142],"results":[143,151],"show":[144],"that":[145],"can":[148],"produce":[149],"superior":[150],"than":[152],"state-of-the-arts,":[154],"both":[155],"objectively":[156],"subjectively.":[158]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3080715109","counts_by_year":[{"year":2021,"cited_by_count":3}],"updated_date":"2025-01-02T10:51:34.994073","created_date":"2020-09-01"}
  NODES