{"id":"https://openalex.org/W4386598363","doi":"https://doi.org/10.1109/icip49359.2023.10222501","title":"FGC-VC: Flow-Guided Context Video Compression","display_name":"FGC-VC: Flow-Guided Context Video Compression","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386598363","doi":"https://doi.org/10.1109/icip49359.2023.10222501"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10222501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","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/A5100377917","display_name":"Yiming Wang","orcid":"https://orcid.org/0000-0001-5683-909X"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]},{"id":"https://openalex.org/I4210155611","display_name":"Ministry of Water Resources of the People's Republic of China","ror":"https://ror.org/04e698d63","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210155611"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiming Wang","raw_affiliation_strings":["Hohai University,Key Laboratory of Water Big Data Technology of Ministry of Water Resources,Nanjing,China","Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, Nanjing, China","School of Computer and Information, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Hohai University,Key Laboratory of Water Big Data Technology of Ministry of Water Resources,Nanjing,China","institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210155611"]},{"raw_affiliation_string":"Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210155611"]},{"raw_affiliation_string":"School of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079178505","display_name":"Qian Huang","orcid":"https://orcid.org/0000-0001-5625-0402"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]},{"id":"https://openalex.org/I4210155611","display_name":"Ministry of Water Resources of the People's Republic of China","ror":"https://ror.org/04e698d63","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210155611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Huang","raw_affiliation_strings":["Hohai University,Key Laboratory of Water Big Data Technology of Ministry of Water Resources,Nanjing,China","Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, Nanjing, China","School of Computer and Information, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Hohai University,Key Laboratory of Water Big Data Technology of Ministry of Water Resources,Nanjing,China","institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210155611"]},{"raw_affiliation_string":"Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210155611"]},{"raw_affiliation_string":"School of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000882226","display_name":"Bin Tang","orcid":"https://orcid.org/0000-0002-4577-8882"},"institutions":[{"id":"https://openalex.org/I4210155611","display_name":"Ministry of Water Resources of the People's Republic of China","ror":"https://ror.org/04e698d63","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210155611"]},{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Tang","raw_affiliation_strings":["Hohai University,Key Laboratory of Water Big Data Technology of Ministry of Water Resources,Nanjing,China","School of Computer and Information, Hohai University, Nanjing, China","Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Hohai University,Key Laboratory of Water Big Data Technology of Ministry of Water Resources,Nanjing,China","institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210155611"]},{"raw_affiliation_string":"School of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]},{"raw_affiliation_string":"Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210155611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102139616","display_name":"Huashan Sun","orcid":"https://orcid.org/0000-0001-5631-1367"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]},{"id":"https://openalex.org/I4210155611","display_name":"Ministry of Water Resources of the People's Republic of China","ror":"https://ror.org/04e698d63","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210155611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huashan Sun","raw_affiliation_strings":["Hohai University,Key Laboratory of Water Big Data Technology of Ministry of Water Resources,Nanjing,China","School of Computer and Information, Hohai University, Nanjing, China","Nanjing Huiying Electronics Technology Corporation, Nanjing, China","Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Hohai University,Key Laboratory of Water Big Data Technology of Ministry of Water Resources,Nanjing,China","institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210155611"]},{"raw_affiliation_string":"School of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]},{"raw_affiliation_string":"Nanjing Huiying Electronics Technology Corporation, Nanjing, China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210155611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100779401","display_name":"Xiaotong Guo","orcid":"https://orcid.org/0000-0003-0079-7665"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]},{"id":"https://openalex.org/I4210155611","display_name":"Ministry of Water Resources of the People's Republic of China","ror":"https://ror.org/04e698d63","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210155611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaotong Guo","raw_affiliation_strings":["Hohai University,Key Laboratory of Water Big Data Technology of Ministry of Water Resources,Nanjing,China","School of Computer and Information, Hohai University, Nanjing, China","Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, Nanjing, China","Nanjing Huiying Electronics Technology Corporation, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Hohai University,Key Laboratory of Water Big Data Technology of Ministry of Water Resources,Nanjing,China","institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210155611"]},{"raw_affiliation_string":"School of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]},{"raw_affiliation_string":"Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210155611"]},{"raw_affiliation_string":"Nanjing Huiying Electronics Technology Corporation, Nanjing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100377917"],"corresponding_institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210155611"],"apc_list":null,"apc_paid":null,"fwci":2.649,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.91086072,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3175","last_page":"3179"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9998999834060669,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998000264167786,"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":0.9987000226974487,"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":0.8258939385414124},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.6528600454330444},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.6337558627128601},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5342720150947571},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5086701512336731},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4956873655319214},{"id":"https://openalex.org/keywords/intra-frame","display_name":"Intra-frame","score":0.4517015516757965},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4260149300098419},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4154057204723358},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37532874941825867},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33706992864608765},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.19935092329978943},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.08138978481292725}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8258939385414124},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.6528600454330444},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.6337558627128601},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5342720150947571},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5086701512336731},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4956873655319214},{"id":"https://openalex.org/C125864890","wikidata":"https://www.wikidata.org/wiki/Q1262687","display_name":"Intra-frame","level":3,"score":0.4517015516757965},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4260149300098419},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4154057204723358},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37532874941825867},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33706992864608765},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.19935092329978943},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.08138978481292725},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip49359.2023.10222501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W2099111195","https://openalex.org/W2140199336","https://openalex.org/W2146395539","https://openalex.org/W2511458122","https://openalex.org/W2548527721","https://openalex.org/W2601564443","https://openalex.org/W2949361041","https://openalex.org/W2964098744","https://openalex.org/W2969260367","https://openalex.org/W3020741905","https://openalex.org/W3031546776","https://openalex.org/W3034469748","https://openalex.org/W3097448661","https://openalex.org/W3108139283","https://openalex.org/W3110286842","https://openalex.org/W3157035436","https://openalex.org/W3173272744","https://openalex.org/W3189385537","https://openalex.org/W3202918664","https://openalex.org/W3203234039","https://openalex.org/W4287605633","https://openalex.org/W4306407493","https://openalex.org/W4308237774","https://openalex.org/W6747701344","https://openalex.org/W6754634825","https://openalex.org/W6799457787","https://openalex.org/W6802036239"],"related_works":["https://openalex.org/W2036077383","https://openalex.org/W2603582838","https://openalex.org/W2164932886","https://openalex.org/W1504571461","https://openalex.org/W2317601405","https://openalex.org/W2618203063","https://openalex.org/W2080140789","https://openalex.org/W2008888243","https://openalex.org/W2572826484","https://openalex.org/W2039662546"],"abstract_inverted_index":{"Deep":[0],"video":[1],"compression":[2,71],"has":[3],"attracted":[4],"more":[5,7],"and":[6,46,62,94,108,115],"attention":[8],"in":[9,113],"recent":[10],"years.":[11],"Previous":[12],"works":[13],"rely":[14],"on":[15],"feature":[16],"space":[17],"operations,":[18],"which":[19],"may":[20],"cause":[21],"the":[22,41,59,64,70,78,90],"offset":[23,42,48],"maps":[24,43,49],"overflow":[25],"degrading":[26],"reconstructed":[27],"frame":[28],"quality.":[29],"In":[30],"this":[31],"work,":[32],"we":[33,52,76],"propose":[34],"a":[35,54],"flow-":[36],"guided":[37],"module":[38],"to":[39,57,68,98],"guide":[40],"learning":[44],"explicitly":[45],"alleviate":[47],"overflow.":[50],"Moreover,":[51],"introduce":[53],"context":[55],"scheme":[56],"explore":[58],"temporal":[60],"prior":[61,66],"fuse":[63],"hyper":[65],"model":[67],"improve":[69],"ratio.":[72],"For":[73],"coding":[74],"speed,":[75],"drop":[77],"time-consuming":[79],"auto":[80],"regressive":[81],"module.":[82],"Experimental":[83],"results":[84],"demonstrate":[85],"that":[86],"our":[87,103],"method":[88],"out-performs":[89],"previous":[91],"learning-based":[92],"schemes":[93],"traditional":[95],"codecs.":[96],"Compared":[97],"x265":[99],"with":[100],"medium":[101],"preset,":[102],"approach":[104],"brings":[105],"average":[106],"38.53%":[107],"54.67%":[109],"bit":[110],"rate":[111],"savings":[112],"PSNR":[114],"MS-SSIM":[116],"metrics,":[117],"respectively.":[118]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}