{"id":"https://openalex.org/W2890879384","doi":"https://doi.org/10.1109/icip.2018.8451583","title":"A Study on the 4D Sparsity of JPEG Pleno Light Fields Using the Discrete Cosine Transform","display_name":"A Study on the 4D Sparsity of JPEG Pleno Light Fields Using the Discrete Cosine Transform","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2890879384","doi":"https://doi.org/10.1109/icip.2018.8451583","mag":"2890879384"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451583","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/A5027292276","display_name":"Gustavo Alves","orcid":"https://orcid.org/0000-0002-5831-2109"},"institutions":[{"id":"https://openalex.org/I122140584","display_name":"Universidade Federal do Rio de Janeiro","ror":"https://ror.org/03490as77","country_code":"BR","type":"education","lineage":["https://openalex.org/I122140584"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Gustavo Alves","raw_affiliation_strings":["PEE/COPPE/DEL/POLI/UFRJ, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PEE/COPPE/DEL/POLI/UFRJ, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I122140584"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087676894","display_name":"Marcio P. Pereira","orcid":"https://orcid.org/0000-0002-4851-7397"},"institutions":[{"id":"https://openalex.org/I122140584","display_name":"Universidade Federal do Rio de Janeiro","ror":"https://ror.org/03490as77","country_code":"BR","type":"education","lineage":["https://openalex.org/I122140584"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcio P. Pereira","raw_affiliation_strings":["PEE/COPPE/DEL/POLI/UFRJ, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PEE/COPPE/DEL/POLI/UFRJ, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I122140584"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073008665","display_name":"Murilo B. de Carvalho","orcid":"https://orcid.org/0000-0002-7964-1876"},"institutions":[{"id":"https://openalex.org/I122140584","display_name":"Universidade Federal do Rio de Janeiro","ror":"https://ror.org/03490as77","country_code":"BR","type":"education","lineage":["https://openalex.org/I122140584"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Murilo B. de Carvalho","raw_affiliation_strings":["PEE/COPPE/DEL/POLI/UFRJ, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PEE/COPPE/DEL/POLI/UFRJ, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I122140584"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044708805","display_name":"Fernando Pereira","orcid":"https://orcid.org/0000-0001-6100-947X"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]},{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Fernando Pereira","raw_affiliation_strings":["Instituto Superior Tecnico, Universidade de Lisboa - Instituto de Telecomunicacoes, Lisbon, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Superior Tecnico, Universidade de Lisboa - Instituto de Telecomunicacoes, Lisbon, Portugal","institution_ids":["https://openalex.org/I4210120471","https://openalex.org/I141596103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019614099","display_name":"Carla L. Pagliari","orcid":"https://orcid.org/0000-0002-7759-9598"},"institutions":[{"id":"https://openalex.org/I41870","display_name":"Military Institute of Engineering","ror":"https://ror.org/03veakt65","country_code":"BR","type":"education","lineage":["https://openalex.org/I41870"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Carla L. Pagliari","raw_affiliation_strings":["PEE/PGED/IME, Instituto Militar de Engenharia, Rio de Janeiro, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PEE/PGED/IME, Instituto Militar de Engenharia, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I41870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052913710","display_name":"Vanessa Testoni","orcid":"https://orcid.org/0000-0003-0399-8323"},"institutions":[{"id":"https://openalex.org/I4210161640","display_name":"Samsung (Brazil)","ror":"https://ror.org/052a20h63","country_code":"BR","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210161640"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Vanessa Testoni","raw_affiliation_strings":["Samsung Research, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Research, Brazil","institution_ids":["https://openalex.org/I4210161640"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081219742","display_name":"Eduardo A. B. da Silva","orcid":"https://orcid.org/0000-0001-7755-6988"},"institutions":[{"id":"https://openalex.org/I122140584","display_name":"Universidade Federal do Rio de Janeiro","ror":"https://ror.org/03490as77","country_code":"BR","type":"education","lineage":["https://openalex.org/I122140584"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Eduardo A.B. da Silva","raw_affiliation_strings":["PEE/COPPE/DEL/POLI/UFRJ, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PEE/COPPE/DEL/POLI/UFRJ, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I122140584"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.742,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.77215438,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1148","last_page":"1152"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9984999895095825,"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":0.9973000288009644,"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/redundancy","display_name":"Redundancy (engineering)","score":0.7888826131820679},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.7364557981491089},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6992766857147217},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.6522284150123596},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.6266223192214966},{"id":"https://openalex.org/keywords/light-field","display_name":"Light field","score":0.6078211665153503},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.5796386003494263},{"id":"https://openalex.org/keywords/trigonometric-functions","display_name":"Trigonometric functions","score":0.5641071200370789},{"id":"https://openalex.org/keywords/data-redundancy","display_name":"Data redundancy","score":0.5067237019538879},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4322054386138916},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3898450434207916},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.3223397135734558},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.206013023853302},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20295444130897522},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1806233823299408},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.06378841400146484}],"concepts":[{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.7888826131820679},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.7364557981491089},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6992766857147217},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.6522284150123596},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.6266223192214966},{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.6078211665153503},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.5796386003494263},{"id":"https://openalex.org/C178009071","wikidata":"https://www.wikidata.org/wiki/Q93344","display_name":"Trigonometric functions","level":2,"score":0.5641071200370789},{"id":"https://openalex.org/C7545210","wikidata":"https://www.wikidata.org/wiki/Q838123","display_name":"Data redundancy","level":2,"score":0.5067237019538879},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4322054386138916},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3898450434207916},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.3223397135734558},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.206013023853302},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20295444130897522},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1806233823299408},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.06378841400146484},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2018.8451583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451583","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":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4699999988079071}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320332195","display_name":"Samsung","ror":"https://ror.org/04w3jy968"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W276045419","https://openalex.org/W1818002383","https://openalex.org/W2051929895","https://openalex.org/W2105557003","https://openalex.org/W2293834858","https://openalex.org/W2345834824","https://openalex.org/W2471061117","https://openalex.org/W2774419738","https://openalex.org/W6663318696","https://openalex.org/W6704184719"],"related_works":["https://openalex.org/W2147992969","https://openalex.org/W4200377430","https://openalex.org/W2147471256","https://openalex.org/W2601209352","https://openalex.org/W4313377945","https://openalex.org/W4220747575","https://openalex.org/W2164990255","https://openalex.org/W2612631671","https://openalex.org/W2111280862","https://openalex.org/W2167365418"],"abstract_inverted_index":{"In":[0],"this":[1,97,119],"work":[2],"we":[3],"study":[4,99],"the":[5,15,22,30,33,43,57,61,79,82,89,110,126,129],"4D":[6,49,67],"sparsity":[7,55],"of":[8,96,115,121,128],"light":[9,26,101],"fields":[10],"using":[11],"as":[12],"main":[13],"tool":[14],"4D-":[16],"Discrete":[17],"Cosine":[18],"Transform.":[19],"We":[20],"analyze":[21],"two":[23],"JPEG":[24,130],"Pleno":[25,131],"field":[27,102],"datasets,":[28,63],"namely":[29],"lenslet-based":[31],"and":[32,94,112],"High-Density":[34],"Camera":[35],"Array":[36],"(HDCA)":[37],"datasets.":[38],"The":[39,92],"results":[40,93],"suggest":[41],"that":[42],"lenslets":[44,80],"datasets":[45],"exhibit":[46],"a":[47,52,75,106],"high":[48],"redundancy,":[50],"with":[51],"larger":[53,87],"inter-view":[54,90],"than":[56,88],"intra-view":[58,83],"one.":[59,91],"For":[60],"HDCA":[62],"there":[64],"is":[65,85],"also":[66],"redundancy":[68,84],"worthy":[69],"to":[70],"be":[71],"exploited,":[72],"yet":[73],"in":[74,125],"smaller":[76],"degree.":[77],"Unlike":[78],"case,":[81],"much":[86],"conclusions":[95],"first":[98],"for":[100,118],"imaging":[103],"may":[104],"have":[105],"strong":[107],"impact":[108],"on":[109],"current":[111],"future":[113],"design":[114],"efficient":[116],"codecs":[117],"type":[120],"emerging":[122],"data,":[123],"notably":[124],"context":[127],"standard.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
