{"id":"https://openalex.org/W2752002992","doi":"https://doi.org/10.1109/icmew.2017.8026313","title":"Light field compression using depth image based view synthesis","display_name":"Light field compression using depth image based view synthesis","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2752002992","doi":"https://doi.org/10.1109/icmew.2017.8026313","mag":"2752002992"},"language":"en","primary_location":{"id":"doi:10.1109/icmew.2017.8026313","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew.2017.8026313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Multimedia &amp; Expo Workshops (ICMEW)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-01591329","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054909749","display_name":"Xiaoran Jiang","orcid":"https://orcid.org/0000-0003-3030-4227"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Xiaoran Jiang","raw_affiliation_strings":["INRIA, Campus de Beaulieu, Rennes, France","Sirocco - Analysis representation, compression and communication of visual data (Campus de Beaulieu 35042 Rennes cedes - France)"],"affiliations":[{"raw_affiliation_string":"INRIA, Campus de Beaulieu, Rennes, France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Sirocco - Analysis representation, compression and communication of visual data (Campus de Beaulieu 35042 Rennes cedes - France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023575932","display_name":"Mika\u00ebl Le Pendu","orcid":"https://orcid.org/0000-0002-4054-3742"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mikael Le Pendu","raw_affiliation_strings":["INRIA, Campus de Beaulieu, Rennes, France","Sirocco - Analysis representation, compression and communication of visual data (Campus de Beaulieu 35042 Rennes cedes - France)"],"affiliations":[{"raw_affiliation_string":"INRIA, Campus de Beaulieu, Rennes, France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Sirocco - Analysis representation, compression and communication of visual data (Campus de Beaulieu 35042 Rennes cedes - France)","institution_ids":[]}]},{"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/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christine Guillemot","raw_affiliation_strings":["INRIA, Campus de Beaulieu, Rennes, France","Sirocco - Analysis representation, compression and communication of visual data (Campus de Beaulieu 35042 Rennes cedes - France)"],"affiliations":[{"raw_affiliation_string":"INRIA, Campus de Beaulieu, Rennes, France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Sirocco - Analysis representation, compression and communication of visual data (Campus de Beaulieu 35042 Rennes cedes - France)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054909749"],"corresponding_institution_ids":["https://openalex.org/I1326498283"],"apc_list":null,"apc_paid":null,"fwci":2.7802,"has_fulltext":false,"cited_by_count":70,"citation_normalized_percentile":{"value":0.94601582,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"19","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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":1.0,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9991000294685364,"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/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/light-field","display_name":"Light field","score":0.8201046586036682},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7876896858215332},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6716649532318115},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6683287620544434},{"id":"https://openalex.org/keywords/view-synthesis","display_name":"View synthesis","score":0.6171316504478455},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5860682725906372},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5418603420257568},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5318197011947632},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5166959762573242},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.46790891885757446},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4217367172241211},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3678400218486786},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27114373445510864},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.18701449036598206},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09905776381492615}],"concepts":[{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.8201046586036682},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7876896858215332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6716649532318115},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6683287620544434},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.6171316504478455},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5860682725906372},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5418603420257568},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5318197011947632},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5166959762573242},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.46790891885757446},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4217367172241211},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3678400218486786},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27114373445510864},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.18701449036598206},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09905776381492615},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icmew.2017.8026313","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew.2017.8026313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Multimedia &amp; Expo Workshops (ICMEW)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01591329v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01591329","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":"IEEE International Conference on Multimedia & Expo Workshops (ICMEW), Jul 2017, Hong Kong, China. &#x27E8;10.1109/ICMEW.2017.8026313&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01591329v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01591329","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":"IEEE International Conference on Multimedia & Expo Workshops (ICMEW), Jul 2017, Hong Kong, China. &#x27E8;10.1109/ICMEW.2017.8026313&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W13845679","https://openalex.org/W244293991","https://openalex.org/W1567059689","https://openalex.org/W1736339626","https://openalex.org/W1762798876","https://openalex.org/W1914596733","https://openalex.org/W1993309788","https://openalex.org/W2029608396","https://openalex.org/W2037234307","https://openalex.org/W2040470367","https://openalex.org/W2042687553","https://openalex.org/W2051768473","https://openalex.org/W2051929895","https://openalex.org/W2055397548","https://openalex.org/W2063366997","https://openalex.org/W2085800182","https://openalex.org/W2111044596","https://openalex.org/W2113221323","https://openalex.org/W2115030355","https://openalex.org/W2116361875","https://openalex.org/W2149694199","https://openalex.org/W2170171048","https://openalex.org/W2200825767","https://openalex.org/W2294985758","https://openalex.org/W2399305625","https://openalex.org/W2551052086","https://openalex.org/W2564478397","https://openalex.org/W2648637634","https://openalex.org/W4255967747","https://openalex.org/W4285719527","https://openalex.org/W6633747016","https://openalex.org/W6640366906","https://openalex.org/W6661383824","https://openalex.org/W6663281104","https://openalex.org/W6712896734","https://openalex.org/W6729515566","https://openalex.org/W6837465293","https://openalex.org/W6929385289"],"related_works":["https://openalex.org/W4211106943","https://openalex.org/W3131350938","https://openalex.org/W3000078511","https://openalex.org/W2129829718","https://openalex.org/W2521595930","https://openalex.org/W4243608781","https://openalex.org/W3165542721","https://openalex.org/W4313046148","https://openalex.org/W1939109514","https://openalex.org/W4378191574"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"a":[3,10,48,64,80],"novel":[4],"light":[5,34,41,84,103],"field":[6,42,104],"compression":[7],"scheme":[8,61],"using":[9],"depth":[11],"image-based":[12],"view":[13,66],"synthesis":[14,67],"technique.":[15],"A":[16],"small":[17],"subset":[18],"of":[19,38,83,100],"views":[20],"is":[21],"compressed":[22],"with":[23,79],"HEVC":[24,54],"inter":[25,55],"coding":[26],"and":[27,51,74],"then":[28,45],"used":[29],"to":[30],"reconstruct":[31],"the":[32,39,97,102],"entire":[33],"field.":[35],"The":[36],"residual":[37],"whole":[40],"can":[43],"be":[44],"restructured":[46],"as":[47,86,95],"video":[49],"sequence":[50],"encoded":[52],"by":[53,88],"coding.":[56],"Experiments":[57],"show":[58],"that":[59],"our":[60],"significantly":[62],"outperforms":[63,94],"similar":[65],"method":[68],"which":[69],"utilizes":[70],"convolutional":[71],"neural":[72],"networks,":[73],"does":[75],"not":[76],"require":[77],"training":[78],"large":[81],"dataset":[82],"fields":[85],"required":[87],"deep":[89],"learning":[90],"techniques.":[91],"It":[92],"also":[93],"well":[96],"direct":[98],"encoding":[99],"all":[101],"views.":[105]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":28},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":7}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
