{"id":"https://openalex.org/W2943286590","doi":"https://doi.org/10.1109/iscas.2019.8702499","title":"Neural Network-Based Arithmetic Coding for Inter Prediction Information in HEVC","display_name":"Neural Network-Based Arithmetic Coding for Inter Prediction Information in HEVC","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2943286590","doi":"https://doi.org/10.1109/iscas.2019.8702499","mag":"2943286590"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2019.8702499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2019.8702499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5091535357","display_name":"Changyue Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changyue Ma","raw_affiliation_strings":["CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100407381","display_name":"Dong Liu","orcid":"https://orcid.org/0000-0001-9100-2906"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Liu","raw_affiliation_strings":["CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024977056","display_name":"Xiulian Peng","orcid":"https://orcid.org/0000-0001-8213-4878"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiulian Peng","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003217535","display_name":"Zheng-Jun Zha","orcid":"https://orcid.org/0000-0003-2510-8993"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng-Jun Zha","raw_affiliation_strings":["CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101596622","display_name":"Feng Wu","orcid":"https://orcid.org/0000-0001-8451-0881"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Wu","raw_affiliation_strings":["CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5091535357"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":1.8244,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.85755493,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994000196456909,"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":0.9991999864578247,"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":0.7374621629714966},{"id":"https://openalex.org/keywords/entropy-encoding","display_name":"Entropy encoding","score":0.7016944885253906},{"id":"https://openalex.org/keywords/context-adaptive-binary-arithmetic-coding","display_name":"Context-adaptive binary arithmetic coding","score":0.6322182416915894},{"id":"https://openalex.org/keywords/arithmetic-coding","display_name":"Arithmetic coding","score":0.5939350128173828},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4914463758468628},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4856771230697632},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.478061705827713},{"id":"https://openalex.org/keywords/motion-vector","display_name":"Motion vector","score":0.4675546884536743},{"id":"https://openalex.org/keywords/coding-tree-unit","display_name":"Coding tree unit","score":0.46751669049263},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4653666019439697},{"id":"https://openalex.org/keywords/context-adaptive-variable-length-coding","display_name":"Context-adaptive variable-length coding","score":0.4582139849662781},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4273584485054016},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4071282744407654},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34892261028289795},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.27603310346603394},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.18952208757400513},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18020063638687134},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13752159476280212}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7374621629714966},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.7016944885253906},{"id":"https://openalex.org/C175732694","wikidata":"https://www.wikidata.org/wiki/Q1128713","display_name":"Context-adaptive binary arithmetic coding","level":3,"score":0.6322182416915894},{"id":"https://openalex.org/C153338461","wikidata":"https://www.wikidata.org/wiki/Q2651","display_name":"Arithmetic coding","level":4,"score":0.5939350128173828},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4914463758468628},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4856771230697632},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.478061705827713},{"id":"https://openalex.org/C2779020251","wikidata":"https://www.wikidata.org/wiki/Q3555171","display_name":"Motion vector","level":3,"score":0.4675546884536743},{"id":"https://openalex.org/C190750250","wikidata":"https://www.wikidata.org/wiki/Q13533439","display_name":"Coding tree unit","level":3,"score":0.46751669049263},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4653666019439697},{"id":"https://openalex.org/C135534801","wikidata":"https://www.wikidata.org/wiki/Q1128721","display_name":"Context-adaptive variable-length coding","level":4,"score":0.4582139849662781},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4273584485054016},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4071282744407654},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34892261028289795},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.27603310346603394},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.18952208757400513},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18020063638687134},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13752159476280212},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2019.8702499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2019.8702499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Circuits and Systems (ISCAS)","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/W2004185490","https://openalex.org/W2058080331","https://openalex.org/W2129768577","https://openalex.org/W2135864272","https://openalex.org/W2146395539","https://openalex.org/W2163605009","https://openalex.org/W2167359416","https://openalex.org/W2194775991","https://openalex.org/W2267126114","https://openalex.org/W2423557781","https://openalex.org/W2754162958","https://openalex.org/W2891963226","https://openalex.org/W2953318193","https://openalex.org/W2963446712","https://openalex.org/W2963636093","https://openalex.org/W3105615783","https://openalex.org/W6679873336","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2131702615","https://openalex.org/W2383844503","https://openalex.org/W2354884987","https://openalex.org/W2393904146","https://openalex.org/W2375774096","https://openalex.org/W2106538169","https://openalex.org/W2045024766","https://openalex.org/W2891963226","https://openalex.org/W2516458176","https://openalex.org/W2062913485"],"abstract_inverted_index":{"Entropy":[0],"coding":[1,8,21,28,81,133],"is":[2,23,187],"a":[3],"fundamental":[4],"technique":[5],"in":[6,14,30,117,147,183,212],"video":[7],"to":[9,44,56,83,163,189,204],"remove":[10],"the":[11,26,34,46,49,58,61,65,70,73,93,126,158,180],"statistical":[12],"redundancy":[13],"syntax":[15,50,62,74,94,152,181],"elements.":[16],"Currently,":[17],"context-adaptive":[18],"binary":[19],"arithmetic":[20,80,132],"(CABAC)":[22],"used":[24],"as":[25],"entropy":[27,85],"tool":[29],"HEVC.":[31],"Considering":[32],"that":[33,100,195],"manually":[35],"designed":[36,171],"binarization":[37],"and":[38,112,138,206],"context":[39],"models":[40],"are":[41,76,143,154,170],"not":[42],"flexible":[43],"estimate":[45,57],"probability":[47,59],"of":[48,60,72,96,102],"elements,":[51,63],"we":[52,90],"use":[53],"neural":[54,130,159,168],"networks":[55,169],"then":[64],"estimated":[66],"probabilities":[67],"together":[68],"with":[69,125,197],"values":[71],"elements":[75,95,153,182],"fed":[77,156],"into":[78,157],"an":[79],"engine":[82],"fulfill":[84],"coding.":[86],"In":[87],"this":[88,148],"paper,":[89],"focus":[91],"on":[92,129,207],"inter":[97],"prediction":[98,115,136,174,185],"information":[99],"consists":[101],"merge":[103,105],"flag,":[104],"index,":[106,108],"reference":[107],"motion":[109,113],"vector":[110,114],"difference":[111],"index":[116],"HEVC":[118],"under":[119],"low-delay":[120],"P":[121],"(LDP)":[122],"setting.":[123],"Compared":[124],"previous":[127],"work":[128],"network-based":[131],"for":[134,172],"intra":[135,139],"modes":[137],"DC":[140],"coefficients,":[141],"there":[142],"three":[144],"new":[145],"characteristics":[146],"paper.":[149],"First,":[150],"surrounding":[151],"directly":[155],"network":[160],"without":[161],"converting":[162],"reconstructed":[164],"pixels.":[165],"Second,":[166],"unified":[167],"different":[173],"block":[175],"sizes.":[176],"Finally,":[177],"dependency":[178],"among":[179],"current":[184],"unit":[186],"omitted":[188],"improve":[190],"parallelism.":[191],"Experimental":[192],"results":[193],"show":[194],"compared":[196],"HEVC,":[198],"our":[199],"proposed":[200],"method":[201],"achieves":[202],"up":[203],"0.5%":[205],"average":[208],"0.3%":[209],"BD-rate":[210],"reduction":[211],"LDP":[213],"configuration.":[214]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
