{"id":"https://openalex.org/W3034621357","doi":"https://doi.org/10.1109/icme46284.2020.9102725","title":"Imaging-Correlated Intra Prediction for Plenoptic 2.0 Video Coding","display_name":"Imaging-Correlated Intra Prediction for Plenoptic 2.0 Video Coding","publication_year":2020,"publication_date":"2020-06-09","ids":{"openalex":"https://openalex.org/W3034621357","doi":"https://doi.org/10.1109/icme46284.2020.9102725","mag":"3034621357"},"language":"en","primary_location":{"id":"doi:10.1109/icme46284.2020.9102725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme46284.2020.9102725","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Multimedia and Expo (ICME)","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/A5100746147","display_name":"Lingjun Li","orcid":"https://orcid.org/0000-0001-9143-838X"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lingjun Li","raw_affiliation_strings":["Shenzhen Key Lab of Broadband Network and Multimedia, Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Lab of Broadband Network and Multimedia, Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023967844","display_name":"Xin Jin","orcid":"https://orcid.org/0000-0001-6655-3888"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Jin","raw_affiliation_strings":["Shenzhen Key Lab of Broadband Network and Multimedia, Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Lab of Broadband Network and Multimedia, Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112680456","display_name":"Tingting Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Zhong","raw_affiliation_strings":["Shenzhen Key Lab of Broadband Network and Multimedia, Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Lab of Broadband Network and Multimedia, Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100746147"],"corresponding_institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.8845,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.76184302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"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/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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7869341373443604},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7088487148284912},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6943453550338745},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.602033257484436},{"id":"https://openalex.org/keywords/random-access","display_name":"Random access","score":0.5574554800987244},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5550428628921509},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4672090411186218},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.449984073638916},{"id":"https://openalex.org/keywords/microlens","display_name":"Microlens","score":0.43884509801864624},{"id":"https://openalex.org/keywords/multiview-video-coding","display_name":"Multiview Video Coding","score":0.4261462092399597},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.2593408226966858},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.2457784116268158},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15820330381393433},{"id":"https://openalex.org/keywords/lens","display_name":"Lens (geology)","score":0.14346030354499817},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07978704571723938},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.07729122042655945}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7869341373443604},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7088487148284912},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6943453550338745},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.602033257484436},{"id":"https://openalex.org/C101722063","wikidata":"https://www.wikidata.org/wiki/Q218825","display_name":"Random access","level":2,"score":0.5574554800987244},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5550428628921509},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4672090411186218},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.449984073638916},{"id":"https://openalex.org/C192560794","wikidata":"https://www.wikidata.org/wiki/Q500199","display_name":"Microlens","level":3,"score":0.43884509801864624},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.4261462092399597},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.2593408226966858},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2457784116268158},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15820330381393433},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.14346030354499817},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07978704571723938},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.07729122042655945},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/icme46284.2020.9102725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme46284.2020.9102725","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2063366997","https://openalex.org/W2105557003","https://openalex.org/W2133515844","https://openalex.org/W2146395539","https://openalex.org/W2249152912","https://openalex.org/W2249309460","https://openalex.org/W2294163883","https://openalex.org/W2751646111","https://openalex.org/W2753230437","https://openalex.org/W2936217971","https://openalex.org/W2936725271","https://openalex.org/W2949240210","https://openalex.org/W2965195779","https://openalex.org/W6675783809"],"related_works":["https://openalex.org/W2391245565","https://openalex.org/W795072109","https://openalex.org/W1995188412","https://openalex.org/W2786306966","https://openalex.org/W2368287095","https://openalex.org/W2149453890","https://openalex.org/W2999856033","https://openalex.org/W2081338593","https://openalex.org/W2071422320","https://openalex.org/W3193942140"],"abstract_inverted_index":{"The":[0,61],"plenoptic":[1,29,43],"2.0":[2,30,44],"video":[3,31,45],"records":[4],"time-varying":[5],"light":[6],"fields":[7],"varying":[8],"with":[9,80,104],"much":[10],"higher":[11],"spatial":[12],"resolution":[13],"for":[14,42,96],"each":[15,81],"subaperture":[16],"image.":[17],"However,":[18],"the":[19,28,48,53,70,88,97,110,120],"huge":[20],"data":[21],"volume":[22],"becomes":[23],"a":[24],"significant":[25],"obstacle":[26],"of":[27,100],"application.":[32],"Therefore,":[33],"this":[34],"paper":[35],"proposes":[36],"an":[37],"efficient":[38],"compression":[39],"method":[40,112],"designed":[41],"coding.":[46],"First,":[47],"matching":[49,62,89],"blocks":[50,63,90,93],"relative":[51],"to":[52],"current":[54,65,101],"block":[55,66],"are":[56,67,77],"determined":[57],"by":[58,69,86],"imaging":[59],"principles.":[60],"and":[64,116,123],"imaged":[68],"same":[71],"object":[72],"under":[73,119],"neighboring":[74],"microlens,":[75],"which":[76],"highly":[78],"correlated":[79],"other.":[82],"Then,":[83],"weighted":[84],"prediction":[85,99],"using":[87],"as":[91],"reference":[92],"is":[94],"adopted":[95],"intra":[98],"block.":[102],"Compared":[103],"HEVC,":[105],"experimental":[106],"results":[107],"show":[108],"that":[109],"proposed":[111],"can":[113],"save":[114],"9.63%":[115],"4.73%":[117],"bitrate":[118],"All":[121],"Intra":[122],"Random":[124],"Access":[125],"configuration,":[126],"respectively.":[127]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}
