{"id":"https://openalex.org/W2792939996","doi":"https://doi.org/10.1109/icip.2017.8296778","title":"Asymmetric circular projection for dynamic virtual reality video stream switching","display_name":"Asymmetric circular projection for dynamic virtual reality video stream switching","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2792939996","doi":"https://doi.org/10.1109/icip.2017.8296778","mag":"2792939996"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296778","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5100741369","display_name":"Yueming Wang","orcid":"https://orcid.org/0000-0003-0791-4836"},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueming Wang","raw_affiliation_strings":["Shenzhen Graduate School, Peking University Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Graduate School, Peking University Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050071143","display_name":"Ronggang Wang","orcid":"https://orcid.org/0000-0003-0873-0465"},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ronggang Wang","raw_affiliation_strings":["Shenzhen Graduate School, Peking University Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Graduate School, Peking University Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024140850","display_name":"Zhenyu Wang","orcid":"https://orcid.org/0000-0002-3439-5632"},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Wang","raw_affiliation_strings":["Shenzhen Graduate School, Peking University Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Graduate School, Peking University Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018478553","display_name":"Wen Gao","orcid":"https://orcid.org/0000-0002-8070-802X"},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Gao","raw_affiliation_strings":["Shenzhen Graduate School, Peking University Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Graduate School, Peking University Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.18,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":7,"citation_normalized_percentile":{"value":0.564687,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":82,"max":83},"biblio":{"volume":null,"issue":null,"first_page":"2726","last_page":"2730"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9999,"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":0.9999,"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":0.9998,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9968,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7921572},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6409133},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.6408448},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.53294337},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.51093644},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.4285113},{"id":"https://openalex.org/C151211776","wikidata":"https://www.wikidata.org/wiki/Q2778015","display_name":"Video capture","level":3,"score":0.41386598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40437835},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.3452829},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14963219}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296778","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":6,"referenced_works":["https://openalex.org/W1993721485","https://openalex.org/W2006166187","https://openalex.org/W2079252242","https://openalex.org/W2138981801","https://openalex.org/W2517351156","https://openalex.org/W4243022719"],"related_works":["https://openalex.org/W2899854151","https://openalex.org/W2386993521","https://openalex.org/W2384551958","https://openalex.org/W2363676404","https://openalex.org/W2350362445","https://openalex.org/W2187171999","https://openalex.org/W2136310606","https://openalex.org/W2061519998","https://openalex.org/W1889918572","https://openalex.org/W1491752883"],"abstract_inverted_index":{"To":[0],"provide":[1],"full":[2,54],"panoramic":[3,38,55,81],"video":[4,16,39,125],"content,":[5],"the":[6,59,77,89,95,117,130,145],"transmission":[7],"bandwidth":[8],"and":[9,43,97,103,120,140],"playing":[10,121],"complexity":[11,122],"of":[12,22,37,61,80,100,123,147],"virtual":[13],"reality":[14],"(VR)":[15],"are":[17,126],"much":[18,50],"higher":[19],"than":[20,53],"that":[21,116],"traditional":[23],"video.":[24,82],"Dynamic":[25],"stream":[26],"switching":[27],"is":[28,135],"an":[29,69],"efficient":[30],"scheme":[31],"which":[32],"stores":[33],"multiple":[34],"asymmetric":[35,47,70,78],"projections":[36],"in":[40,88,110,144],"server":[41],"side,":[42],"transmits":[44],"only":[45],"one":[46],"projection":[48,73,79,87,105],"(with":[49],"lower":[51],"resolution":[52],"video)":[56],"according":[57],"to":[58,75,93,137],"direction":[60],"user's":[62],"head.":[63],"In":[64],"this":[65,101],"paper,":[66],"we":[67],"propose":[68],"circular":[71],"(ASC)":[72],"method":[74,139],"generate":[76],"ASC":[83,132,134],"uses":[84],"equal":[85],"area":[86,92],"main":[90],"viewpoint":[91],"ensure":[94],"high":[96],"uniform":[98],"quality":[99],"area,":[102],"a":[104],"with":[106,129],"decreasing":[107],"sampling":[108],"density":[109],"other":[111],"areas.":[112],"Experimental":[113],"results":[114],"show":[115],"bit":[118],"rate":[119],"VR":[124],"greatly":[127],"reduced":[128],"proposed":[131],"method.":[133],"superior":[136],"state-of-the-art":[138],"has":[141],"been":[142],"adopted":[143],"standard":[146],"IEEE":[148],"1857.9-Immersive":[149],"Visual":[150],"Content":[151],"Coding.":[152]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2792939996","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-04-20T08:54:22.921146","created_date":"2018-03-29"}