乐胖代购免代理版

{"id":"https://openalex.org/W2792325738","doi":"https://doi.org/10.1109/icip.2017.8296560","title":"Video super-resolution using motion compensation and residual bidirectional recurrent convolutional network","display_name":"Video super-resolution using motion compensation and residual bidirectional recurrent convolutional network","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2792325738","doi":"https://doi.org/10.1109/icip.2017.8296560","mag":"2792325738"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296560","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":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/A5103180142","display_name":"Dingyi Li","orcid":"https://orcid.org/0000-0001-6770-6233"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"funder","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingyi Li","raw_affiliation_strings":["Department of Automation, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100618357","display_name":"Y\u00fc Liu","orcid":"https://orcid.org/0000-0003-2211-3535"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099079","display_name":"Institute of Intelligent Machines","ror":"https://ror.org/00w0qep84","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210099079"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Liu","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Intelligent Machines, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Intelligent Machines, Hefei, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210099079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103123751","display_name":"Zengfu Wang","orcid":"https://orcid.org/0000-0003-1859-900X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"funder","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"funder","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zengfu Wang","raw_affiliation_strings":["Department of Automation, University of Science and Technology of China, Hefei, China","Department of Biomedical Engineering, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Department of Biomedical Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":12,"citation_normalized_percentile":{"value":0.753839,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":86,"max":87},"biblio":{"volume":null,"issue":null,"first_page":"1642","last_page":"1646"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9952,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9866,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6611781}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.8706938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8184078},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.6966603},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6611781},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.61905193},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5842385},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.53353536},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.4882005},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.46911743},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.3952192},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35357273},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24087834},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08678004},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296560","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":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":[{"id":"https://metadata.un.org/sdg/16","score":0.63,"display_name":"Peace, justice, and strong institutions"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":29,"referenced_works":["https://openalex.org/W1665214252","https://openalex.org/W1885185971","https://openalex.org/W1913633284","https://openalex.org/W1919542679","https://openalex.org/W1930824406","https://openalex.org/W1950594372","https://openalex.org/W1973788353","https://openalex.org/W2010981316","https://openalex.org/W2097074225","https://openalex.org/W2113989386","https://openalex.org/W2117539524","https://openalex.org/W2118963448","https://openalex.org/W2121058967","https://openalex.org/W2133665775","https://openalex.org/W2165939075","https://openalex.org/W2184360182","https://openalex.org/W2194775991","https://openalex.org/W2210480155","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2320725294","https://openalex.org/W2331128040","https://openalex.org/W2520164769","https://openalex.org/W2534320940","https://openalex.org/W2589026418","https://openalex.org/W2963470893","https://openalex.org/W2964046669","https://openalex.org/W54257720","https://openalex.org/W935139217"],"related_works":["https://openalex.org/W4385453475","https://openalex.org/W4293226380","https://openalex.org/W2949601986","https://openalex.org/W2560215812","https://openalex.org/W2128449318","https://openalex.org/W2124983550","https://openalex.org/W2119751394","https://openalex.org/W2100331075","https://openalex.org/W1981663193","https://openalex.org/W1579940903"],"abstract_inverted_index":{"Video":[0],"super-resolution":[1],"(SR)":[2],"aims":[3],"at":[4],"restoring":[5],"finer":[6],"details":[7],"and":[8,34,45,64,96,107],"enhancing":[9],"visual":[10,108],"experience.":[11],"In":[12,29],"this":[13],"paper,":[14],"we":[15,56],"propose":[16],"a":[17],"novel":[18],"method":[19,92],"named":[20],"residual":[21,36,74],"recurrent":[22,61,78],"convolutional":[23,37,62],"network":[24,38],"(RRCN)":[25],"for":[26,80],"video":[27],"SR.":[28,83],"our":[30,69,77],"method,":[31],"motion":[32,58],"compensation":[33],"bidirectional":[35,60],"are":[39],"combined":[40],"to":[41],"model":[42],"the":[43,87,90],"spatial":[44],"temporal":[46,54],"non-linear":[47],"mappings.":[48],"To":[49],"leverage":[50],"sufficient":[51],"amount":[52],"of":[53,68,89,103],"information,":[55],"employ":[57],"compensation,":[59],"layers":[63],"late":[65],"fusion":[66],"in":[67,76,101],"network.":[70],"We":[71],"also":[72],"apply":[73],"connections":[75],"structure":[79],"more":[81],"accurate":[82],"Experimental":[84],"results":[85],"demonstrate":[86],"superiority":[88],"proposed":[91],"over":[93],"state-of-the-art":[94],"single-image":[95],"multi-frame":[97],"based":[98],"SR":[99],"approaches":[100],"terms":[102],"both":[104],"quantitative":[105],"assessment":[106],"quality.":[109]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2792325738","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2025-04-22T01:55:41.440056","created_date":"2018-03-29"}