{"id":"https://openalex.org/W3196073612","doi":"https://doi.org/10.1109/icip42928.2021.9506363","title":"Zoomable Intra Prediction for Multi-Focus Plenoptic 2.0 Video Coding","display_name":"Zoomable Intra Prediction for Multi-Focus Plenoptic 2.0 Video Coding","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3196073612","doi":"https://doi.org/10.1109/icip42928.2021.9506363","mag":"3196073612"},"language":"en","primary_location":{"id":"doi:10.1109/icip42928.2021.9506363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 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/A5101642994","display_name":"Fan Jiang","orcid":"https://orcid.org/0000-0003-2802-1666"},"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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fan Jiang","raw_affiliation_strings":["Tsinghua Niversity,Shenzhen Key Lab of Broadband Network and Multimedia, Shenzhen International Graduate School,Shenzhen,China,518055"],"affiliations":[{"raw_affiliation_string":"Tsinghua Niversity,Shenzhen Key Lab of Broadband Network and Multimedia, Shenzhen International Graduate School,Shenzhen,China,518055","institution_ids":["https://openalex.org/I3131625388"]}]},{"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/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":["Tsinghua Niversity,Shenzhen Key Lab of Broadband Network and Multimedia, Shenzhen International Graduate School,Shenzhen,China,518055"],"affiliations":[{"raw_affiliation_string":"Tsinghua Niversity,Shenzhen Key Lab of Broadband Network and Multimedia, Shenzhen International Graduate School,Shenzhen,China,518055","institution_ids":["https://openalex.org/I3131625388"]}]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Zhong","raw_affiliation_strings":["Tsinghua Niversity,Shenzhen Key Lab of Broadband Network and Multimedia, Shenzhen International Graduate School,Shenzhen,China,518055"],"affiliations":[{"raw_affiliation_string":"Tsinghua Niversity,Shenzhen Key Lab of Broadband Network and Multimedia, Shenzhen International Graduate School,Shenzhen,China,518055","institution_ids":["https://openalex.org/I3131625388"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101642994"],"corresponding_institution_ids":["https://openalex.org/I3131625388"],"apc_list":null,"apc_paid":null,"fwci":0.5806,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.68595403,"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":"2029","last_page":"2033"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9993000030517578,"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":0.8309571743011475},{"id":"https://openalex.org/keywords/zoom","display_name":"Zoom","score":0.7684122323989868},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.692240834236145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6778014898300171},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6761658787727356},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5818143486976624},{"id":"https://openalex.org/keywords/light-field","display_name":"Light field","score":0.49384623765945435},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4523036777973175},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4227352738380432},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.41673731803894043},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0937201976776123},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.07145485281944275}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8309571743011475},{"id":"https://openalex.org/C124913957","wikidata":"https://www.wikidata.org/wiki/Q1232548","display_name":"Zoom","level":3,"score":0.7684122323989868},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.692240834236145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6778014898300171},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6761658787727356},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5818143486976624},{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.49384623765945435},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4523036777973175},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4227352738380432},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.41673731803894043},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0937201976776123},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.07145485281944275},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip42928.2021.9506363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W993862674","https://openalex.org/W1818002383","https://openalex.org/W1986310022","https://openalex.org/W2133515844","https://openalex.org/W2249152912","https://openalex.org/W2290889768","https://openalex.org/W2295115106","https://openalex.org/W2525331240","https://openalex.org/W2801921072","https://openalex.org/W2896062114","https://openalex.org/W2914467399","https://openalex.org/W2936217971","https://openalex.org/W2965887750","https://openalex.org/W2979520362","https://openalex.org/W3034621357","https://openalex.org/W4287671748","https://openalex.org/W6697340843","https://openalex.org/W6782702335"],"related_works":["https://openalex.org/W2788595494","https://openalex.org/W2244676099","https://openalex.org/W3172556642","https://openalex.org/W3157456843","https://openalex.org/W1990150827","https://openalex.org/W2036676347","https://openalex.org/W1589307369","https://openalex.org/W2744012867","https://openalex.org/W4292830147","https://openalex.org/W3098172517"],"abstract_inverted_index":{"Plenoptic":[0],"2.0":[1,46],"videos":[2,47],"that":[3],"record":[4],"time-varying":[5],"light":[6,23],"fields":[7,24],"by":[8,68],"focused":[9],"plenoptic":[10,45,57],"cameras":[11],"are":[12,64,81,89],"promising":[13],"to":[14,91,110],"immersive":[15],"visual":[16],"applications":[17],"because":[18],"of":[19,55,73,105],"capturing":[20],"dense":[21],"sampled":[22],"with":[25],"high":[26],"spatial":[27],"resolution":[28],"in":[29],"the":[30,51,62,69,74,78,102,106],"rendered":[31],"sub-apertures.":[32],"In":[33],"this":[34],"paper,":[35],"an":[36],"intra":[37],"prediction":[38,75,94],"method":[39,108],"is":[40],"proposed":[41,70,90,107],"for":[42,96],"compressing":[43],"multi-focus":[44,56],"efficiently.":[48],"Based":[49],"on":[50],"imaging":[52],"principle":[53],"analysis":[54],"cameras,":[58],"zooming":[59,79,86],"relationships":[60],"among":[61],"microimages":[63],"discovered":[65],"and":[66,77,87,112],"exploited":[67],"method.":[71],"Positions":[72],"candidates":[76,95],"factors":[80],"derived,":[82],"after":[83],"which":[84],"block":[85],"tailoring":[88],"generate":[92],"novel":[93],"weighted":[97],"prediction.":[98],"Experimental":[99],"results":[100],"demonstrated":[101],"superior":[103],"performance":[104],"relative":[109],"HEVC":[111],"state-of-the-art":[113],"methods.":[114]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}