{"id":"https://openalex.org/W3006240739","doi":"https://doi.org/10.1109/icce-tw46550.2019.8991815","title":"Performance Evaluations of Tile-based 360-degree DASH Streaming with Clustering-based Viewport Prediction","display_name":"Performance Evaluations of Tile-based 360-degree DASH Streaming with Clustering-based Viewport Prediction","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W3006240739","doi":"https://doi.org/10.1109/icce-tw46550.2019.8991815","mag":"3006240739"},"language":"en","primary_location":{"id":"doi:10.1109/icce-tw46550.2019.8991815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-tw46550.2019.8991815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW)","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/A5011302347","display_name":"Yuya Shinohara","orcid":null},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yuya Shinohara","raw_affiliation_strings":["Waseda University"],"affiliations":[{"raw_affiliation_string":"Waseda University","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029128928","display_name":"Satomi Shirasaki","orcid":null},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satomi Shirasaki","raw_affiliation_strings":["Waseda University"],"affiliations":[{"raw_affiliation_string":"Waseda University","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084103888","display_name":"Yiyan Wu","orcid":"https://orcid.org/0000-0001-8890-5389"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yiyan Wu","raw_affiliation_strings":["Waseda University"],"affiliations":[{"raw_affiliation_string":"Waseda University","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102334884","display_name":"Kenji Kanai","orcid":"https://orcid.org/0000-0003-4134-4582"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenji Kanai","raw_affiliation_strings":["Waseda Research Institute for Science and Engineering"],"affiliations":[{"raw_affiliation_string":"Waseda Research Institute for Science and Engineering","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002294739","display_name":"Jiro Katto","orcid":"https://orcid.org/0000-0002-1671-2614"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jiro Katto","raw_affiliation_strings":["Waseda Research Institute for Science and Engineering"],"affiliations":[{"raw_affiliation_string":"Waseda Research Institute for Science and Engineering","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5011302347"],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":null,"apc_paid":null,"fwci":0.1012,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47877132,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.998199999332428,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9794999957084656,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/viewport","display_name":"Viewport","score":0.9882364273071289},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8299985527992249},{"id":"https://openalex.org/keywords/dash","display_name":"Dash","score":0.7616795897483826},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.6129105091094971},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5707229375839233},{"id":"https://openalex.org/keywords/dynamic-adaptive-streaming-over-http","display_name":"Dynamic Adaptive Streaming over HTTP","score":0.5554286241531372},{"id":"https://openalex.org/keywords/tile","display_name":"Tile","score":0.5091935992240906},{"id":"https://openalex.org/keywords/quality-of-experience","display_name":"Quality of experience","score":0.445919007062912},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.2933655381202698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2719201445579529},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.13498878479003906},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.11579129099845886}],"concepts":[{"id":"https://openalex.org/C2778090530","wikidata":"https://www.wikidata.org/wiki/Q2523931","display_name":"Viewport","level":2,"score":0.9882364273071289},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8299985527992249},{"id":"https://openalex.org/C2776090536","wikidata":"https://www.wikidata.org/wiki/Q187819","display_name":"Dash","level":2,"score":0.7616795897483826},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.6129105091094971},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5707229375839233},{"id":"https://openalex.org/C2777588599","wikidata":"https://www.wikidata.org/wiki/Q135299","display_name":"Dynamic Adaptive Streaming over HTTP","level":4,"score":0.5554286241531372},{"id":"https://openalex.org/C2780728851","wikidata":"https://www.wikidata.org/wiki/Q468402","display_name":"Tile","level":2,"score":0.5091935992240906},{"id":"https://openalex.org/C2779333187","wikidata":"https://www.wikidata.org/wiki/Q3132648","display_name":"Quality of experience","level":3,"score":0.445919007062912},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.2933655381202698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2719201445579529},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.13498878479003906},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.11579129099845886},{"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-tw46550.2019.8991815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-tw46550.2019.8991815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW)","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":5,"referenced_works":["https://openalex.org/W2135957164","https://openalex.org/W2527384707","https://openalex.org/W2799064164","https://openalex.org/W3105022665","https://openalex.org/W6680437723"],"related_works":["https://openalex.org/W2028643315","https://openalex.org/W2937200029","https://openalex.org/W2663282472","https://openalex.org/W2726908435","https://openalex.org/W2210424002","https://openalex.org/W2560609567","https://openalex.org/W2978071635","https://openalex.org/W3097892262","https://openalex.org/W3036519337","https://openalex.org/W3081922100"],"abstract_inverted_index":{"Recently,":[0],"the":[1,44,75],"demand":[2],"for":[3],"immersive":[4],"VR":[5],"(360-degree)":[6],"video":[7,20,88],"delivery":[8],"is":[9,23],"increasing,":[10],"and":[11,16,55,57,85],"an":[12],"efficient":[13],"(high":[14],"quality":[15,84],"low":[17],"traffic)":[18],"360-degree":[19,36,77],"streaming":[21,38,79],"methodology":[22],"mandatory.":[24],"To":[25],"address":[26],"this":[27,30],"fact,":[28],"in":[29],"paper,":[31],"we":[32,62,73],"introduce":[33],"a":[34],"tile-based":[35,76],"DASH":[37,78],"with":[39],"viewport":[40,49,68],"prediction.":[41],"We":[42],"evaluate":[43],"prediction":[45,69],"accuracy":[46],"of":[47],"future":[48],"movement":[50],"patterns":[51],"by":[52],"using":[53],"clustering":[54],"image":[56,83],"audio":[58],"information.":[59],"In":[60],"addition,":[61],"perform":[63],"rate":[64],"adaptation":[65],"based":[66],"on":[67],"results.":[70],"Through":[71],"evaluations,":[72],"confirm":[74],"achieves":[80],"higher":[81],"objective":[82],"lower":[86],"total":[87],"traffic":[89],"volume.":[90]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}