{"id":"https://openalex.org/W3175622968","doi":"https://doi.org/10.1109/icmew53276.2021.9455996","title":"Gbk360: A Game Among Tiles In 360 Video Based On Kalman Filter","display_name":"Gbk360: A Game Among Tiles In 360 Video Based On Kalman Filter","publication_year":2021,"publication_date":"2021-06-21","ids":{"openalex":"https://openalex.org/W3175622968","doi":"https://doi.org/10.1109/icmew53276.2021.9455996","mag":"3175622968"},"language":"en","primary_location":{"id":"doi:10.1109/icmew53276.2021.9455996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew53276.2021.9455996","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 Multimedia & Expo Workshops (ICMEW)","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/A5060172647","display_name":"Simou Shang","orcid":"https://orcid.org/0000-0001-9706-3398"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Simou Shang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China","School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100703530","display_name":"Yumei Wang","orcid":"https://orcid.org/0000-0003-2450-6252"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yumei Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China","School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China","Research Center of Networks and Communications, Peng Cheng Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Research Center of Networks and Communications, Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106732460","display_name":"Yu Liu","orcid":"https://orcid.org/0000-0002-7957-2487"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Liu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China","Research Center of Networks and Communications, Peng Cheng Laboratory, Shenzhen, China","School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Research Center of Networks and Communications, Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060172647"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.1921,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.47665033,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9847000241279602,"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":0.9847000241279602,"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/T10789","display_name":"Interactive and Immersive Displays","score":0.9266999959945679,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9122999906539917,"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/kalman-filter","display_name":"Kalman filter","score":0.8274432420730591},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6739287376403809},{"id":"https://openalex.org/keywords/video-game","display_name":"Video game","score":0.6051381826400757},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49102282524108887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41621214151382446},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3736191391944885},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.26870471239089966}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.8274432420730591},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6739287376403809},{"id":"https://openalex.org/C3018412434","wikidata":"https://www.wikidata.org/wiki/Q7889","display_name":"Video game","level":2,"score":0.6051381826400757},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49102282524108887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41621214151382446},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3736191391944885},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.26870471239089966}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmew53276.2021.9455996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew53276.2021.9455996","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 Multimedia & Expo Workshops (ICMEW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2058309716","https://openalex.org/W2130128307","https://openalex.org/W2523094016","https://openalex.org/W2585813514","https://openalex.org/W2622637199","https://openalex.org/W2766324256","https://openalex.org/W2810704880","https://openalex.org/W2884414611","https://openalex.org/W2896449077","https://openalex.org/W2897781554","https://openalex.org/W2968030538","https://openalex.org/W2975461012","https://openalex.org/W2996652655"],"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":{"The":[0,105],"tile-based":[1,21],"method":[2,55,111,134],"provides":[3],"a":[4,35,52,81],"feasible":[5],"way":[6],"for":[7,103],"360":[8,39],"video":[9],"transmission.":[10],"Viewpoint":[11],"prediction":[12,54],"and":[13,66,84,145],"bitrate":[14,132],"allocation":[15,74,133],"are":[16,101],"important":[17],"modules":[18],"in":[19],"the":[20,43,58,64,67,73,86,93,109,114,119,126,131,141,146,151],"method.":[22,129],"In":[23],"this":[24],"paper,":[25],"we":[26,50,71],"propose":[27],"GBK360":[28],"(a":[29],"game":[30,83,89,137],"based":[31,56,112,135],"on":[32,57,113,136],"Kalman":[33,59,115],"filter),":[34],"transmission":[36],"scheme":[37],"of":[38,46,75,88,99],"videos,":[40],"to":[41,77,91],"improve":[42,92,140],"user\u2019s":[44,147],"quality":[45],"experience":[47],"(QoE).":[48],"Firstly,":[49],"achieve":[51],"viewpoint":[53,65],"filter,":[60],"which":[61],"can":[62,139],"predict":[63],"error":[68],"distribution.":[69],"Then,":[70],"regard":[72],"bandwidth":[76,94,142],"different":[78],"tiles":[79],"as":[80],"cooperative":[82],"use":[85],"idea":[87],"theory":[90,138],"utilization":[95,143],"efficiency.":[96],"Different":[97],"categories":[98],"videos":[100],"used":[102],"experiments.":[104],"results":[106],"showed":[107],"that":[108],"proposed":[110],"filter":[116],"could":[117],"increase":[118],"hit":[120],"rate":[121],"by":[122],"50.97%":[123],"compared":[124,149],"with":[125,150],"linear":[127],"regression":[128],"And":[130],"efficiency":[144],"QoE":[148],"other":[152],"three":[153],"schemes.":[154]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}