{"id":"https://openalex.org/W4401906098","doi":"https://doi.org/10.1109/access.2024.3450814","title":"Innovative Insights: A Review of Deep Learning Methods for Enhanced Video Compression","display_name":"Innovative Insights: A Review of Deep Learning Methods for Enhanced Video Compression","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401906098","doi":"https://doi.org/10.1109/access.2024.3450814"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3450814","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3450814","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"review","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3450814","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001417042","display_name":"Mohammad Khadir","orcid":null},"institutions":[{"id":"https://openalex.org/I121750182","display_name":"National Institute of Technology Warangal","ror":"https://ror.org/017ebfz38","country_code":"IN","type":"education","lineage":["https://openalex.org/I121750182"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Mohammad Khadir","raw_affiliation_strings":["Department of Electronics and Communication Engineering, National Institute of Technology, Warangal, India"],"raw_orcid":"https://orcid.org/0000-0003-3979-2976","affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, National Institute of Technology, Warangal, India","institution_ids":["https://openalex.org/I121750182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086527348","display_name":"Mohammad Farukh Hashmi","orcid":"https://orcid.org/0000-0002-3808-9122"},"institutions":[{"id":"https://openalex.org/I121750182","display_name":"National Institute of Technology Warangal","ror":"https://ror.org/017ebfz38","country_code":"IN","type":"education","lineage":["https://openalex.org/I121750182"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mohammad Farukh Hashmi","raw_affiliation_strings":["Department of Electronics and Communication Engineering, National Institute of Technology, Warangal, India"],"raw_orcid":"https://orcid.org/0000-0002-3808-9122","affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, National Institute of Technology, Warangal, India","institution_ids":["https://openalex.org/I121750182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023964929","display_name":"Deepali M. Kotambkar","orcid":"https://orcid.org/0000-0003-0152-3834"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deepali M. Kotambkar","raw_affiliation_strings":["Department of Electronics Engineering, Ramdeobaba University (Formerly, Shri Ramdeobaba College of Engineering and Management. Nagpur), Nagpur, India"],"raw_orcid":"https://orcid.org/0000-0003-0152-3834","affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Ramdeobaba University (Formerly, Shri Ramdeobaba College of Engineering and Management. Nagpur), Nagpur, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017136504","display_name":"Aditya Gupta","orcid":"https://orcid.org/0000-0003-3128-2517"},"institutions":[{"id":"https://openalex.org/I200650556","display_name":"University of Agder","ror":"https://ror.org/03x297z98","country_code":"NO","type":"education","lineage":["https://openalex.org/I200650556"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Aditya Gupta","raw_affiliation_strings":["Department of Information and Communication Technology, University of Agder, Grimstad, Norway"],"raw_orcid":"https://orcid.org/0000-0003-3128-2517","affiliations":[{"raw_affiliation_string":"Department of Information and Communication Technology, University of Agder, Grimstad, Norway","institution_ids":["https://openalex.org/I200650556"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001417042"],"corresponding_institution_ids":["https://openalex.org/I121750182"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.9046,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.87198486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"125706","last_page":"125725"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9415000081062317,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9415000081062317,"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":0.7492973804473877},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.49196264147758484},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4778178036212921},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4574117362499237}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7492973804473877},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.49196264147758484},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4778178036212921},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4574117362499237}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3450814","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3450814","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a07263e8fd024b1f9b321e2b0bc27e45","is_oa":true,"landing_page_url":"https://doaj.org/article/a07263e8fd024b1f9b321e2b0bc27e45","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 125706-125725 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3450814","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3450814","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":122,"referenced_works":["https://openalex.org/W2138565468","https://openalex.org/W2792186562","https://openalex.org/W2792882801","https://openalex.org/W2944300655","https://openalex.org/W2962987948","https://openalex.org/W2963396654","https://openalex.org/W2982317364","https://openalex.org/W3002936220","https://openalex.org/W3003173865","https://openalex.org/W3004887499","https://openalex.org/W3007511706","https://openalex.org/W3013522332","https://openalex.org/W3015735582","https://openalex.org/W3016072328","https://openalex.org/W3020968992","https://openalex.org/W3031546776","https://openalex.org/W3033793613","https://openalex.org/W3035638508","https://openalex.org/W3038130890","https://openalex.org/W3087445715","https://openalex.org/W3094544290","https://openalex.org/W3095331240","https://openalex.org/W3095614485","https://openalex.org/W3104804895","https://openalex.org/W3110286842","https://openalex.org/W3120945253","https://openalex.org/W3128571695","https://openalex.org/W3128635849","https://openalex.org/W3130623426","https://openalex.org/W3131465228","https://openalex.org/W3133947875","https://openalex.org/W3134867831","https://openalex.org/W3135530072","https://openalex.org/W3137503405","https://openalex.org/W3138152222","https://openalex.org/W3142452884","https://openalex.org/W3148545080","https://openalex.org/W3148677604","https://openalex.org/W3152846589","https://openalex.org/W3154333462","https://openalex.org/W3154902785","https://openalex.org/W3161580547","https://openalex.org/W3166014221","https://openalex.org/W3167995751","https://openalex.org/W3169596802","https://openalex.org/W3170156880","https://openalex.org/W3172347396","https://openalex.org/W3173272744","https://openalex.org/W3177130416","https://openalex.org/W3181468004","https://openalex.org/W3182678101","https://openalex.org/W3185022016","https://openalex.org/W3193552984","https://openalex.org/W3193588307","https://openalex.org/W3193704383","https://openalex.org/W3193875697","https://openalex.org/W3194030619","https://openalex.org/W3194315986","https://openalex.org/W3200084086","https://openalex.org/W3200488526","https://openalex.org/W3205777752","https://openalex.org/W3210387535","https://openalex.org/W3210597831","https://openalex.org/W3212255342","https://openalex.org/W3216777582","https://openalex.org/W4205899500","https://openalex.org/W4206355076","https://openalex.org/W4206364355","https://openalex.org/W4207042040","https://openalex.org/W4207059794","https://openalex.org/W4210298777","https://openalex.org/W4210446059","https://openalex.org/W4214928880","https://openalex.org/W4214944686","https://openalex.org/W4220706733","https://openalex.org/W4223560744","https://openalex.org/W4224232432","https://openalex.org/W4225292576","https://openalex.org/W4226065064","https://openalex.org/W4226231916","https://openalex.org/W4235258796","https://openalex.org/W4281637661","https://openalex.org/W4281757744","https://openalex.org/W4283654340","https://openalex.org/W4285165313","https://openalex.org/W4285588081","https://openalex.org/W4285605205","https://openalex.org/W4286685303","https://openalex.org/W4294368396","https://openalex.org/W4295038337","https://openalex.org/W4295837026","https://openalex.org/W4297039696","https://openalex.org/W4303578734","https://openalex.org/W4306663533","https://openalex.org/W4310073251","https://openalex.org/W4312204032","https://openalex.org/W4312407564","https://openalex.org/W4312549026","https://openalex.org/W4312713719","https://openalex.org/W4312774595","https://openalex.org/W4312785369","https://openalex.org/W4313315427","https://openalex.org/W4316661110","https://openalex.org/W4317555285","https://openalex.org/W4318589281","https://openalex.org/W4321498443","https://openalex.org/W4324066828","https://openalex.org/W4360594820","https://openalex.org/W4361768792","https://openalex.org/W4362456321","https://openalex.org/W4366281337","https://openalex.org/W4367396513","https://openalex.org/W4378983406","https://openalex.org/W4379382243","https://openalex.org/W4380569567","https://openalex.org/W4380610080","https://openalex.org/W4382632753","https://openalex.org/W4385486412","https://openalex.org/W4385899345","https://openalex.org/W4386608621","https://openalex.org/W6802036239","https://openalex.org/W6847343555"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W4323565446"],"abstract_inverted_index":{"Video":[0,339],"Compression":[1],"(VC)":[2],"is":[3,55,139,287,370],"a":[4,56,61,106,236,279,371],"significant":[5,62,280],"aspect":[6],"of":[7,18,45,68,99,109,118,133,136,146,196,200,234,245,252,299,306,350,365,375],"multimedia":[8],"technology,":[9],"in":[10,51,64,235,258,266,386],"which":[11,59,369],"the":[12,16,46,65,78,95,116,130,143,188,232,243,249,256,268,295,310,363,402],"goal":[13],"to":[14,104,141,150,230,241,312,319,360,400,405],"minimize":[15,231],"size":[17],"video":[19,154],"data,":[20],"while":[21],"also":[22,205],"preserving":[23],"its":[24],"perceptual":[25],"quality,":[26],"for":[27,113,128,289,303,347],"effective":[28,66],"transmission":[29,67],"and":[30,40,73,87,97,149,213,228,264,285,292,297,316,332,353],"storage.":[31],"Traditional":[32],"approaches":[33,50,112,159,199,273,301,357,403],"such":[34,166,247,334,393],"as":[35,167,191,193,248,394],"transform":[36],"coding,":[37,39],"predictive":[38],"entropy":[41],"coding":[42],"are":[43,90,126,330,358,398],"some":[44,91],"much":[47],"earlier":[48],"discovered":[49],"this":[52,203,348],"area.":[53],"VC":[54,328,351],"challenging":[57],"concept":[58],"plays":[60],"role":[63],"data":[69],"with":[70,223,274,367,390],"low":[71],"storage":[72],"minimum":[74],"bandwidth":[75],"requirements.":[76,322],"However,":[77],"limited":[79],"processing":[80],"power,":[81],"storage,":[82],"memory,":[83],"lower":[84,88],"compression":[85,155,198,307],"rate":[86,315],"resolution":[89],"factors":[92],"that":[93,125],"impact":[94],"functionality":[96],"performance":[98],"VC.":[100,134,201,391],"This":[101,185,216,238,377],"survey":[102,186,204,217,239],"aims":[103,240],"encompass":[105],"comprehensive":[107],"review":[108],"present":[110],"DL":[111,137,158,300,366,384],"VC,":[114,246],"especially":[115],"application":[117],"advanced":[119,383],"DL-based":[120,197,219,272],"Neural":[121,162,169,177],"Network":[122],"(NN)":[123],"algorithms":[124,138],"developed":[127],"solving":[129],"aforementioned":[131],"challenges":[132,257,388],"Adaptability":[135],"exploited":[140],"enhance":[142],"potential":[144],"quality":[145,317],"compressed":[147],"videos":[148],"positively":[151],"influence":[152],"lossless":[153],"outcomes.":[156],"The":[157,344],"include":[160],"Deep":[161,180],"Networks":[163,170,174,178],"(DNN)":[164],"methods":[165],"Convolutional":[168],"(CNN),":[171],"Generative":[172],"Adversarial":[173],"(GAN),":[175],"Recurrent":[176,181],"(RNN),":[179],"Auto-Encoder":[182],"(DRAE),":[183],"etc.":[184,343],"examines":[187],"relationships,":[189],"strengths":[190],"well":[192],"problem":[194],"statements":[195],"Furthermore,":[202],"deliberates":[206],"on":[207,362],"datasets,":[208],"hardware":[209,224,260],"specifications,":[210],"comparative":[211],"analysis,":[212],"research":[214,373],"directions.":[215],"embeds":[218],"computer":[220],"vision":[221],"approaches,":[222,255],"accelerators":[225],"like":[226],"GPU":[227],"FPGA,":[229],"complexity":[233],"model.":[237],"overcome":[242],"limitations":[244],"varying":[250],"effectiveness":[251],"specific":[253,321],"encoder":[254],"utilizing":[259],"accelerators,":[261],"low-resource":[262],"devices,":[263],"difficulties":[265],"managing":[267],"large-scale":[269],"databases.":[270],"Integrating":[271],"existing":[275],"standard":[276],"codecs":[277],"remains":[278],"challenge.":[281],"Ensuring":[282],"compatibility,":[283],"interoperability,":[284],"standardization":[286],"important":[288],"widespread":[290,327],"adoption":[291],"integration.":[293],"Enhancing":[294],"interpretability":[296],"control":[298],"permit":[302],"better":[304],"customization":[305],"settings,":[308],"allowing":[309],"users":[311],"balance":[313],"bit":[314],"according":[318,404],"their":[320,406],"To":[323],"gather":[324],"relevant":[325],"studies,":[326],"datasets":[329],"researched":[331],"utilized":[333,399],"as,":[335],"Ultra-Video-Group":[336],"dataset":[337],"(UVG),":[338],"Trace":[340],"Library":[341],"(VTL),":[342],"selection":[345],"criteria":[346],"study":[349],"techniques":[352],"deep":[354],"learning":[355],"(DL)":[356],"chosen":[359],"focus":[361],"integration":[364,378],"codecs,":[368],"primary":[372],"area":[374],"interest.":[376],"provides":[379],"valuable":[380],"insights":[381],"into":[382],"applications":[385],"overcoming":[387],"associated":[389],"Frameworks":[392],"TensorFlow,":[395],"Keras,":[396],"PyTorch":[397],"classify":[401],"fundamental":[407],"NN":[408],"architectures.":[409]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7}],"updated_date":"2026-04-24T08:23:43.765630","created_date":"2025-10-10T00:00:00"}