{"id":"https://openalex.org/W2941143570","doi":"https://doi.org/10.1109/vcip.2018.8698658","title":"Optimized Spatial Recurrent Network for Intra Prediction in Video Coding","display_name":"Optimized Spatial Recurrent Network for Intra Prediction in Video Coding","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2941143570","doi":"https://doi.org/10.1109/vcip.2018.8698658","mag":"2941143570"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2018.8698658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2018.8698658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Visual Communications and Image Processing (VCIP)","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/A5087570320","display_name":"Yueyu Hu","orcid":"https://orcid.org/0000-0003-4919-4515"},"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":"Yueyu Hu","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, P. R. China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070884682","display_name":"Wenhan Yang","orcid":"https://orcid.org/0000-0002-1692-0069"},"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":"Wenhan Yang","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, P. R. China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054386013","display_name":"Sifeng Xia","orcid":"https://orcid.org/0000-0003-0301-0004"},"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":"Sifeng Xia","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, P. R. China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100761525","display_name":"Jiaying Liu","orcid":"https://orcid.org/0000-0002-0468-9576"},"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":"Jiaying Liu","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, P. R. China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087570320"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":1.3211,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.82503481,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T10531","display_name":"Advanced Vision and Imaging","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"}},{"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":0.7789795398712158},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5601821541786194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45877182483673096},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10150408744812012},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09094437956809998}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7789795398712158},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5601821541786194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45877182483673096},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10150408744812012},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09094437956809998}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2018.8698658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2018.8698658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Visual Communications and Image Processing (VCIP)","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":18,"referenced_works":["https://openalex.org/W2101700394","https://openalex.org/W2140199336","https://openalex.org/W2146395539","https://openalex.org/W2169161136","https://openalex.org/W2516814643","https://openalex.org/W2519373937","https://openalex.org/W2558288778","https://openalex.org/W2605341393","https://openalex.org/W2612470244","https://openalex.org/W2612846844","https://openalex.org/W2739757502","https://openalex.org/W2790593097","https://openalex.org/W2962737519","https://openalex.org/W2962930383","https://openalex.org/W2979673094","https://openalex.org/W2979990382","https://openalex.org/W6737085986","https://openalex.org/W6769015554"],"related_works":["https://openalex.org/W2367368021","https://openalex.org/W2383319832","https://openalex.org/W2606323037","https://openalex.org/W2364620564","https://openalex.org/W2379534648","https://openalex.org/W2318160680","https://openalex.org/W2530341635","https://openalex.org/W2390212769","https://openalex.org/W2376302837","https://openalex.org/W2193767974"],"abstract_inverted_index":{"Intra":[0],"prediction":[1,23,38,83,100,116,131,141],"in":[2,13,84,102,114],"modern":[3],"video":[4,14],"codecs":[5],"is":[6,121],"able":[7,50],"to":[8,51,57,79,98,135],"efficiently":[9],"reduce":[10],"spatial":[11,74],"redundancy":[12],"frames.":[15],"With":[16],"preceding":[17],"pixels":[18],"as":[19],"context,":[20],"traditional":[21],"intra":[22,82,115,130,140],"schemes":[24],"generate":[25,99],"linear":[26],"predictions":[27],"based":[28],"on":[29,144],"several":[30],"predefined":[31],"directions":[32],"(i.e.":[33],"modes)":[34],"for":[35,123,129],"the":[36,61,81,91,95,110,119],"current":[37],"unit":[39],"(PU).":[40],"However,":[41],"these":[42],"modes":[43,132],"are":[44,48],"relatively":[45],"simple":[46],"and":[47],"not":[49],"handle":[52],"complex":[53],"textures,":[54],"which":[55],"leads":[56],"additional":[58],"bits":[59],"encoding":[60],"residue.":[62],"In":[63],"this":[64],"paper,":[65],"we":[66],"design":[67],"a":[68,103],"convolutional":[69],"neural":[70,76],"network":[71,77,96],"(CNN)":[72],"guided":[73],"recurrent":[75],"(RNN)":[78],"improve":[80],"High-Efficiency":[85],"Video":[86],"Coding":[87],"(HEVC).":[88],"By":[89],"exploring":[90],"correlations":[92],"between":[93],"pixels,":[94],"learns":[97],"signal":[101],"progressive":[104,107],"manner.":[105],"The":[106],"model":[108,120],"solves":[109],"problem":[111],"of":[112],"asymmetry":[113],"naturally.":[117],"As":[118],"designed":[122],"global":[124],"context":[125],"modeling,":[126],"no":[127],"flags":[128],"selection":[133],"need":[134],"be":[136],"encoded.":[137],"Our":[138],"proposed":[139],"scheme":[142],"achieves":[143],"average":[145],"1.2%":[146],"bit-rate":[147],"saving":[148],"compared":[149],"with":[150],"HEVC.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}