{"id":"https://openalex.org/W4402979170","doi":"https://doi.org/10.1109/icme57554.2024.10687463","title":"Low Bitrate Light Field Video Compression with Two-step Refinement Reconstruction","display_name":"Low Bitrate Light Field Video Compression with Two-step Refinement Reconstruction","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402979170","doi":"https://doi.org/10.1109/icme57554.2024.10687463"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10687463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10687463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100319230","display_name":"Huan Li","orcid":"https://orcid.org/0000-0002-3705-3654"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Li","raw_affiliation_strings":["Shanghai University,School of Communication and Information Engineering,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University,School of Communication and Information Engineering,Shanghai,China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084521379","display_name":"Xinpeng Huang","orcid":"https://orcid.org/0000-0002-2373-642X"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinpeng Huang","raw_affiliation_strings":["Shanghai University,School of Communication and Information Engineering,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University,School of Communication and Information Engineering,Shanghai,China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060120489","display_name":"Ping An","orcid":"https://orcid.org/0000-0002-4995-728X"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping An","raw_affiliation_strings":["Shanghai University,School of Communication and Information Engineering,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University,School of Communication and Information Engineering,Shanghai,China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9667999744415283,"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":0.9667999744415283,"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":0.6601036787033081},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.618546187877655},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5950364470481873},{"id":"https://openalex.org/keywords/light-field","display_name":"Light field","score":0.4891386330127716},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4250975251197815},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3870546221733093},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3017609715461731},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10873660445213318},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.09590974450111389}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6601036787033081},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.618546187877655},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5950364470481873},{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.4891386330127716},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4250975251197815},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3870546221733093},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3017609715461731},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10873660445213318},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.09590974450111389},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10687463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10687463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.5699999928474426,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2063366997","https://openalex.org/W2249309460","https://openalex.org/W2511779046","https://openalex.org/W2551052086","https://openalex.org/W2752002992","https://openalex.org/W2753630964","https://openalex.org/W2792891339","https://openalex.org/W2895598217","https://openalex.org/W2897769554","https://openalex.org/W2936217971","https://openalex.org/W2971591771","https://openalex.org/W2985433716","https://openalex.org/W2998715827","https://openalex.org/W2999996313","https://openalex.org/W3013907411","https://openalex.org/W3096199586","https://openalex.org/W3112858924","https://openalex.org/W3114697101","https://openalex.org/W3175610043","https://openalex.org/W3197139774","https://openalex.org/W4224283206","https://openalex.org/W4285296077","https://openalex.org/W4289752563","https://openalex.org/W4312833691","https://openalex.org/W4386159673"],"related_works":["https://openalex.org/W2984298793","https://openalex.org/W2922311571","https://openalex.org/W1974010893","https://openalex.org/W2796332242","https://openalex.org/W2271432825","https://openalex.org/W2612632602","https://openalex.org/W2370525840","https://openalex.org/W2321805087","https://openalex.org/W4313428622","https://openalex.org/W4311557652"],"abstract_inverted_index":{"Light":[0],"Fields":[1],"(LFs)":[2],"are":[3,39],"characterized":[4],"by":[5,86,107,118],"high":[6],"dimension,":[7],"complex":[8],"structure":[9,64],"and":[10],"large":[11],"amount":[12],"of":[13,19,127],"data.":[14],"Therefore,":[15],"the":[16,27,37,67,74,81,96,102,109,115,120,124,128,138],"efficient":[17],"compression":[18,110],"LF":[20,34,55,71],"videos":[21],"faces":[22],"challenges.":[23],"Existing":[24],"methods":[25],"use":[26],"traditional":[28],"multi-view":[29],"video":[30,56],"encoder":[31],"to":[32,47,79,114],"compress":[33],"videos,":[35],"but":[36],"bitrates":[38],"still":[40],"high.":[41],"To":[42,92],"this":[43],"end,":[44],"we":[45,77],"propose":[46,78],"only":[48],"encode":[49],"sparse":[50],"key":[51,104],"view":[52,84,105,131],"sequences":[53,85,106],"in":[54,70],"for":[57],"low":[58,144],"bitrates.":[59,145],"The":[60,133],"proposed":[61,97,139],"similarity-based":[62],"prediction":[63],"fully":[65],"exploits":[66],"spatial-angular-temporal":[68],"correlations":[69],"videos.":[72],"At":[73],"decoder":[75],"side,":[76],"reconstruct":[80],"uncoded":[82],"non-key":[83,130],"a":[87],"two-step":[88],"refinement":[89],"reconstruction":[90,98],"network.":[91],"avoid":[93],"error":[94],"propagation,":[95],"network":[99,121],"firstly":[100],"refines":[101,123],"coded":[103],"reducing":[108],"artifacts.":[111],"With":[112],"regard":[113],"distortion":[116],"caused":[117],"warping,":[119],"further":[122],"texture":[125],"details":[126],"synthesized":[129],"sequences.":[132],"experiment":[134],"results":[135],"prove":[136],"that":[137],"algorithm":[140],"performs":[141],"superior":[142],"at":[143]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
