{"id":"https://openalex.org/W2610830679","doi":"https://doi.org/10.1109/pcs.2016.7906403","title":"Analysis of regional down-sampling methods for coding of omnidirectional video","display_name":"Analysis of regional down-sampling methods for coding of omnidirectional video","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2610830679","doi":"https://doi.org/10.1109/pcs.2016.7906403","mag":"2610830679"},"language":"en","primary_location":{"id":"doi:10.1109/pcs.2016.7906403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs.2016.7906403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Picture Coding Symposium (PCS)","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/A5038279606","display_name":"Ramin G. Youvalari","orcid":"https://orcid.org/0000-0001-7260-0599"},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Ramin Ghaznavi Youvalari","raw_affiliation_strings":["Nokia Technologies, Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Nokia Technologies, Tampere, Finland","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014058642","display_name":"Alireza Aminlou","orcid":null},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Alireza Aminlou","raw_affiliation_strings":["Nokia Technologies, Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Nokia Technologies, Tampere, Finland","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044816664","display_name":"Miska M. Hannuksela","orcid":"https://orcid.org/0000-0003-3405-0850"},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Miska M. Hannuksela","raw_affiliation_strings":["Nokia Technologies, Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Nokia Technologies, Tampere, Finland","institution_ids":["https://openalex.org/I2738502077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038279606"],"corresponding_institution_ids":["https://openalex.org/I2738502077"],"apc_list":null,"apc_paid":null,"fwci":0.835,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.81823216,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","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/T11165","display_name":"Image and Video Quality Assessment","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":0.9998000264167786,"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/T10688","display_name":"Image and Signal Denoising Methods","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7499305009841919},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.655719518661499},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6098518371582031},{"id":"https://openalex.org/keywords/omnidirectional-antenna","display_name":"Omnidirectional antenna","score":0.5834217071533203},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5772798657417297},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.550875186920166},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2098638117313385},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19351249933242798},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0808229148387909},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07538491487503052}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7499305009841919},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.655719518661499},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6098518371582031},{"id":"https://openalex.org/C24027999","wikidata":"https://www.wikidata.org/wiki/Q2176348","display_name":"Omnidirectional antenna","level":3,"score":0.5834217071533203},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5772798657417297},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.550875186920166},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2098638117313385},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19351249933242798},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0808229148387909},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07538491487503052},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pcs.2016.7906403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs.2016.7906403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Picture Coding Symposium (PCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1537399482","https://openalex.org/W1993721485","https://openalex.org/W2057766517","https://openalex.org/W2079252242","https://openalex.org/W2103189262","https://openalex.org/W2120221190","https://openalex.org/W2517351156","https://openalex.org/W2979673094","https://openalex.org/W2979990382","https://openalex.org/W3133570265","https://openalex.org/W4212979148","https://openalex.org/W4230574202","https://openalex.org/W4243022719","https://openalex.org/W6665085862","https://openalex.org/W6670054805","https://openalex.org/W6769015554"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"In":[0,51],"order":[1,184],"to":[2,78,81,84,120,147,185],"compress":[3],"omnidirectional":[4,68,191],"video":[5],"clips,":[6],"a":[7,10,30,177],"projection":[8,20],"onto":[9],"two-dimensional":[11],"image":[12],"plane":[13],"is":[14,22],"necessary.":[15],"The":[16,40,103],"most":[17],"commonly":[18],"used":[19],"format":[21],"the":[23,37,48,72,97,109,115,121,128,148,153,167,187],"equirectangular":[24,125],"panoramic":[25],"projection,":[26],"which":[27],"results":[28,105],"into":[29],"significant":[31],"amount":[32],"of":[33,124,190],"redundant":[34,41],"samples":[35,42],"in":[36,88,183],"polar":[38],"areas.":[39],"incur":[43],"extra":[44],"bitrate":[45],"and":[46,63,94,99,111,138,165],"increase":[47],"encoding/decoding":[49,65],"time.":[50],"this":[52],"paper,":[53],"we":[54,156,175],"study":[55,157],"regional":[56],"down-sampling":[57],"(RDS)":[58],"for":[59,67,162],"achieving":[60],"better":[61,140],"compression":[62],"smaller":[64],"time":[66],"content.":[69],"We":[70],"extend":[71],"persistent":[73,98,110,149],"RDS":[74,92,101,113,130,150],"method":[75,93,131],"applied":[76,83],"equally":[77],"all":[79],"pictures":[80,86],"be":[82],"selected":[85],"only":[87],"our":[89],"proposed":[90],"temporal":[91,100,112,129],"then":[95],"compare":[96],"methods.":[102],"simulation":[104],"indicate":[106],"that":[107],"both":[108],"improve":[114],"rate-distortion":[116],"(RD)":[117],"performance":[118,136,142],"compared":[119,146],"conventional":[122],"coding":[123,154,168,188],"panoramas,":[126],"while":[127],"has":[132],"less":[133],"sequence-wise":[134],"RD":[135,141],"variation":[137],"slightly":[139],"on":[143],"average":[144],"when":[145],"technique.":[151],"Alongside":[152],"methods,":[155],"spherical":[158,180],"quality":[159,172,181],"measurement":[160],"methods":[161,169],"VR":[163],"images/video":[164],"analyze":[166],"with":[170],"these":[171],"metrics.":[173],"Moreover,":[174],"propose":[176],"uniformly":[178],"sampled":[179],"metric":[182],"evaluate":[186],"distortion":[189],"videos.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
