{"id":"https://openalex.org/W2891963226","doi":"https://doi.org/10.1109/icip.2018.8451166","title":"Convolutional Neural Network-Based Arithmetic Coding of DC Coefficients for HEVC Intra Coding","display_name":"Convolutional Neural Network-Based Arithmetic Coding of DC Coefficients for HEVC Intra Coding","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2891963226","doi":"https://doi.org/10.1109/icip.2018.8451166","mag":"2891963226"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th 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/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":"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":4,"corresponding_author_ids":["https://openalex.org/A5091535357"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":2.3235,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.89665297,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1772","last_page":"1776"},"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":0.9993000030517578,"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":0.9990000128746033,"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/context-adaptive-binary-arithmetic-coding","display_name":"Context-adaptive binary arithmetic coding","score":0.8724569082260132},{"id":"https://openalex.org/keywords/arithmetic-coding","display_name":"Arithmetic coding","score":0.7892959117889404},{"id":"https://openalex.org/keywords/coding-tree-unit","display_name":"Coding tree unit","score":0.7670161724090576},{"id":"https://openalex.org/keywords/entropy-encoding","display_name":"Entropy encoding","score":0.7548549771308899},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6799860596656799},{"id":"https://openalex.org/keywords/context-adaptive-variable-length-coding","display_name":"Context-adaptive variable-length coding","score":0.6668418049812317},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5933434963226318},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5620365738868713},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.5436536073684692},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.529228925704956},{"id":"https://openalex.org/keywords/tunstall-coding","display_name":"Tunstall coding","score":0.5206146240234375},{"id":"https://openalex.org/keywords/variable-length-code","display_name":"Variable-length code","score":0.47508707642555237},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4650360941886902},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37372875213623047},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.3455360531806946},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.32417982816696167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3045327067375183},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.30229875445365906},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23524975776672363},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14719098806381226},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.08723610639572144}],"concepts":[{"id":"https://openalex.org/C175732694","wikidata":"https://www.wikidata.org/wiki/Q1128713","display_name":"Context-adaptive binary arithmetic coding","level":3,"score":0.8724569082260132},{"id":"https://openalex.org/C153338461","wikidata":"https://www.wikidata.org/wiki/Q2651","display_name":"Arithmetic coding","level":4,"score":0.7892959117889404},{"id":"https://openalex.org/C190750250","wikidata":"https://www.wikidata.org/wiki/Q13533439","display_name":"Coding tree unit","level":3,"score":0.7670161724090576},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.7548549771308899},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6799860596656799},{"id":"https://openalex.org/C135534801","wikidata":"https://www.wikidata.org/wiki/Q1128721","display_name":"Context-adaptive variable-length coding","level":4,"score":0.6668418049812317},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5933434963226318},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5620365738868713},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.5436536073684692},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.529228925704956},{"id":"https://openalex.org/C73231260","wikidata":"https://www.wikidata.org/wiki/Q7853376","display_name":"Tunstall coding","level":4,"score":0.5206146240234375},{"id":"https://openalex.org/C60603091","wikidata":"https://www.wikidata.org/wiki/Q2981616","display_name":"Variable-length code","level":3,"score":0.47508707642555237},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4650360941886902},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37372875213623047},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.3455360531806946},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.32417982816696167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3045327067375183},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.30229875445365906},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23524975776672363},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14719098806381226},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.08723610639572144}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2018.8451166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1985028362","https://openalex.org/W2096933452","https://openalex.org/W2129768577","https://openalex.org/W2135864272","https://openalex.org/W2140199336","https://openalex.org/W2146395539","https://openalex.org/W2167359416","https://openalex.org/W2511730936","https://openalex.org/W2606774991","https://openalex.org/W2741137940","https://openalex.org/W2754162958","https://openalex.org/W2963446712","https://openalex.org/W3105615783"],"related_works":["https://openalex.org/W2131702615","https://openalex.org/W2148686647","https://openalex.org/W2911993714","https://openalex.org/W181395785","https://openalex.org/W2213686625","https://openalex.org/W2354884987","https://openalex.org/W4254399980","https://openalex.org/W2891963226","https://openalex.org/W631798852","https://openalex.org/W2188870130"],"abstract_inverted_index":{"In":[0,22,59],"the":[1,18,24,31,42,46,56,76,79,100,104,107,120,154,166],"state-of-the-art":[2],"video":[3],"coding":[4,13,20,57,69,77],"standard-High":[5],"Efficiency":[6],"Video":[7],"Coding":[8],"(HEVC),":[9],"context-adaptive":[10],"binary":[11],"arithmetic":[12,68,130],"(CABAC)":[14],"is":[15],"adopted":[16],"as":[17],"entropy":[19,134],"tool.":[21],"CABAC,":[23],"binarization":[25,90],"processes":[26],"are":[27,34,124],"manually":[28,88],"designed,":[29],"and":[30,54,72,92],"context":[32,93],"models":[33],"empirically":[35],"crafted,":[36],"both":[37],"of":[38,45,78,87,103,106,156],"which":[39,159],"incur":[40],"that":[41,139],"probability":[43,101,117],"distribution":[44,102],"syntax":[47],"elements":[48],"may":[49],"not":[50],"be":[51],"estimated":[52,116],"accurately,":[53],"restrict":[55],"efficiency.":[58],"this":[60],"paper,":[61],"we":[62,95],"adopt":[63],"a":[64,128],"convolutional":[65,113],"neural":[66],"network-based":[67],"(CNNAC)":[70],"strategy,":[71],"conduct":[73],"studies":[74],"on":[75,145],"DC":[80,108,122,157],"coefficients":[81],"for":[82,153],"HEVC":[83,167],"intra":[84],"coding.":[85,135],"Instead":[86],"designing":[89],"process":[91],"model,":[94],"propose":[96],"to":[97,132,144,161],"directly":[98],"estimate":[99],"value":[105],"coefficient":[109,123],"using":[110],"densely":[111],"connected":[112],"networks.":[114],"The":[115],"together":[118],"with":[119,151],"real":[121],"then":[125],"input":[126],"into":[127],"multi-level":[129],"codec":[131],"fulfill":[133],"Simulation":[136],"results":[137],"show":[138],"our":[140],"proposed":[141],"CNNAC":[142],"leads":[143],"average":[146],"22.47%":[147],"bits":[148,155],"saving":[149],"compared":[150],"CABAC":[152],"coefficients,":[158],"corresponds":[160],"1.6%":[162],"BD-rate":[163],"reduction":[164],"than":[165],"anchor.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":3}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
