{"id":"https://openalex.org/W2902886722","doi":"https://doi.org/10.23919/eusipco.2018.8553485","title":"Rate-Distortion Optimized Super-Ray Merging for Light Field Compression","display_name":"Rate-Distortion Optimized Super-Ray Merging for Light Field Compression","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2902886722","doi":"https://doi.org/10.23919/eusipco.2018.8553485","mag":"2902886722"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2018.8553485","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553485","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-01812858","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5107335306","display_name":"Xin Su","orcid":"https://orcid.org/0000-0002-2030-738X"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210133778","display_name":"Centre Inria de l'Universit\u00e9 de Rennes","ror":"https://ror.org/04040yw90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Xin Su","raw_affiliation_strings":["INRIA, Rennes, FRANCE"],"affiliations":[{"raw_affiliation_string":"INRIA, Rennes, FRANCE","institution_ids":["https://openalex.org/I4210133778","https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022418509","display_name":"Mira Rizkallah","orcid":"https://orcid.org/0000-0001-7724-9304"},"institutions":[{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mira Rizkallah","raw_affiliation_strings":["IRISA, Rennes, FRANCE"],"affiliations":[{"raw_affiliation_string":"IRISA, Rennes, FRANCE","institution_ids":["https://openalex.org/I2802519937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057806453","display_name":"Thomas Mauzev","orcid":null},"institutions":[{"id":"https://openalex.org/I4210133778","display_name":"Centre Inria de l'Universit\u00e9 de Rennes","ror":"https://ror.org/04040yw90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Thomas Mauzev","raw_affiliation_strings":["INRIA, Rennes, FRANCE"],"affiliations":[{"raw_affiliation_string":"INRIA, Rennes, FRANCE","institution_ids":["https://openalex.org/I4210133778","https://openalex.org/I1326498283"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010468033","display_name":"Christine Guillemot","orcid":"https://orcid.org/0000-0003-1604-967X"},"institutions":[{"id":"https://openalex.org/I4210133778","display_name":"Centre Inria de l'Universit\u00e9 de Rennes","ror":"https://ror.org/04040yw90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christine Guillemot","raw_affiliation_strings":["INRIA, Rennes, FRANCE"],"affiliations":[{"raw_affiliation_string":"INRIA, Rennes, FRANCE","institution_ids":["https://openalex.org/I4210133778","https://openalex.org/I1326498283"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5107335306"],"corresponding_institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"],"apc_list":null,"apc_paid":null,"fwci":0.5312,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.72352658,"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":"1850","last_page":"1854"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9994000196456909,"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/T11165","display_name":"Image and Video Quality Assessment","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"}}],"keywords":[{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.748935341835022},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6364665031433105},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5808320641517639},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.5470259785652161},{"id":"https://openalex.org/keywords/entropy-encoding","display_name":"Entropy encoding","score":0.5375485420227051},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.486709862947464},{"id":"https://openalex.org/keywords/light-field","display_name":"Light field","score":0.47471892833709717},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.46506646275520325},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.4616258442401886},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.46048104763031006},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4590957760810852},{"id":"https://openalex.org/keywords/view-synthesis","display_name":"View synthesis","score":0.4539910554885864},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.44740206003189087},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44073745608329773},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.24983614683151245},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2435818314552307},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12844961881637573}],"concepts":[{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.748935341835022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6364665031433105},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5808320641517639},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.5470259785652161},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.5375485420227051},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.486709862947464},{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.47471892833709717},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.46506646275520325},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.4616258442401886},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.46048104763031006},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4590957760810852},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.4539910554885864},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.44740206003189087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44073745608329773},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.24983614683151245},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2435818314552307},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12844961881637573},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/eusipco.2018.8553485","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553485","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01812858v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01812858","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EUSIPCO 2018 - 26th European Signal Processing Conference, Sep 2018, Rome, Italy. pp.1-5","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01812858v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01812858","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EUSIPCO 2018 - 26th European Signal Processing Conference, Sep 2018, Rome, Italy. pp.1-5","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2051768473","https://openalex.org/W2116361875","https://openalex.org/W2118246710","https://openalex.org/W2137313943","https://openalex.org/W2290889768","https://openalex.org/W2524211401","https://openalex.org/W2525331240","https://openalex.org/W2525683018","https://openalex.org/W2526321439","https://openalex.org/W2551052086","https://openalex.org/W2560403570","https://openalex.org/W2564478397","https://openalex.org/W2622195611","https://openalex.org/W2751111769","https://openalex.org/W2751965900","https://openalex.org/W2781498243","https://openalex.org/W2793043954","https://openalex.org/W2794141660","https://openalex.org/W6680152570","https://openalex.org/W6727190386","https://openalex.org/W6727594811","https://openalex.org/W6727742320"],"related_works":["https://openalex.org/W2094583657","https://openalex.org/W1594300462","https://openalex.org/W2158009109","https://openalex.org/W1606460848","https://openalex.org/W1706111048","https://openalex.org/W2129927873","https://openalex.org/W2772846670","https://openalex.org/W2112852877","https://openalex.org/W4211106943","https://openalex.org/W2034796835"],"abstract_inverted_index":{"In":[0,22],"this":[1],"paper,":[2],"we":[3],"focus":[4],"on":[5,28,79],"the":[6,50,57,63,70,75,85,97,127,132,152,159],"problem":[7],"of":[8,18,96,142],"compressing":[9],"dense":[10],"light":[11],"fields":[12],"which":[13],"represent":[14],"very":[15],"large":[16],"volumes":[17],"highly":[19,67],"redundant":[20],"data.":[21],"our":[23],"scheme,":[24],"view":[25],"synthesis":[26],"based":[27],"convolutional":[29],"neural":[30],"networks":[31],"(CNN)":[32],"is":[33,66,123,147],"used":[34,149],"as":[35],"a":[36,105,110],"first":[37],"prediction":[38,58,128],"step":[39],"to":[40,48,72,109],"exploit":[41],"inter-view":[42,51],"correlation.":[43],"Super-rays":[44],"are":[45,77,102],"then":[46,148],"constructed":[47],"capture":[49],"and":[52,90,134,144],"spatial":[53,133],"redundancy":[54],"remaining":[55],"in":[56,130],"residues.":[59],"To":[60],"ensure":[61],"that":[62,158],"super-ray":[64,107],"segmentation":[65],"correlated":[68],"with":[69],"residues":[71,81,129],"be":[73],"encoded,":[74],"super-rays":[76,101],"computed":[78],"synthesized":[80,93,98],"(the":[82],"difference":[83],"between":[84],"four":[86],"transmitted":[87],"corner":[88],"views":[89],"their":[91],"corresponding":[92],"views),":[94],"instead":[95],"views.":[99],"Neighboring":[100],"merged":[103],"into":[104],"larger":[106],"according":[108],"rate-distortion":[111],"cost.":[112],"A":[113,137],"4D":[114],"shape":[115],"adaptive":[116],"discrete":[117],"cosine":[118],"transform":[119],"(SA":[120],"-":[121],"DCT)":[122],"applied":[124],"per":[125],"super-rayon":[126],"both":[131],"angular":[135],"dimensions.":[136],"traditional":[138],"coding":[139,146,161],"scheme":[140,162],"consisting":[141],"quantization":[143],"entropy":[145],"for":[150],"encoding":[151],"transformed":[153],"coefficients.":[154],"Experimental":[155],"results":[156],"show":[157],"proposed":[160],"outperforms":[163],"HEVC-based":[164],"schemes":[165],"at":[166],"low":[167],"hitrate.":[168]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
