{"id":"https://openalex.org/W2725312916","doi":"https://doi.org/10.1109/sahcn.2017.7964928","title":"Motion-Prediction-Based Multicast for 360-Degree Video Transmissions","display_name":"Motion-Prediction-Based Multicast for 360-Degree Video Transmissions","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2725312916","doi":"https://doi.org/10.1109/sahcn.2017.7964928","mag":"2725312916"},"language":"en","primary_location":{"id":"doi:10.1109/sahcn.2017.7964928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sahcn.2017.7964928","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 14th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101758704","display_name":"Yanan Bao","orcid":"https://orcid.org/0000-0002-7318-6032"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanan Bao","raw_affiliation_strings":["Department of Computer Science, University of California, Davis, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101643595","display_name":"Tianxiao Zhang","orcid":"https://orcid.org/0000-0001-6171-3176"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianxiao Zhang","raw_affiliation_strings":["Department of Computer Science, University of California, Davis, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101976682","display_name":"Amit Pande","orcid":"https://orcid.org/0000-0002-5898-3404"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amit Pande","raw_affiliation_strings":["Department of Computer Science, University of California, Davis, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068240109","display_name":"Huasen Wu","orcid":"https://orcid.org/0000-0002-0188-1976"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huasen Wu","raw_affiliation_strings":["Department of Computer Science, University of California, Davis, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100352139","display_name":"Xin Liu","orcid":"https://orcid.org/0000-0001-7689-1346"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Liu","raw_affiliation_strings":["Department of Computer Science, University of California, Davis, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I84218800"],"apc_list":null,"apc_paid":null,"fwci":3.3432,"has_fulltext":false,"cited_by_count":73,"citation_normalized_percentile":{"value":0.95740341,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","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/T12720","display_name":"Multimedia Communication and Technology","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.989799976348877,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multicast","display_name":"Multicast","score":0.8289932608604431},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8271361589431763},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.49656277894973755},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4256005883216858},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.4124062955379486},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3963967263698578},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3897157311439514},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3811635673046112}],"concepts":[{"id":"https://openalex.org/C32295351","wikidata":"https://www.wikidata.org/wiki/Q899288","display_name":"Multicast","level":2,"score":0.8289932608604431},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8271361589431763},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.49656277894973755},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4256005883216858},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.4124062955379486},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3963967263698578},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3897157311439514},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3811635673046112}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sahcn.2017.7964928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sahcn.2017.7964928","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 14th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","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":17,"referenced_works":["https://openalex.org/W1541324225","https://openalex.org/W1603895355","https://openalex.org/W2022334019","https://openalex.org/W2032418235","https://openalex.org/W2033488476","https://openalex.org/W2118294504","https://openalex.org/W2137525891","https://openalex.org/W2156858903","https://openalex.org/W2295270132","https://openalex.org/W2397712434","https://openalex.org/W2472178346","https://openalex.org/W2479300639","https://openalex.org/W2585813514","https://openalex.org/W2963961866","https://openalex.org/W6632387434","https://openalex.org/W6661061227","https://openalex.org/W6712229383"],"related_works":["https://openalex.org/W2033488476","https://openalex.org/W2131092765","https://openalex.org/W1617457131","https://openalex.org/W2277662012","https://openalex.org/W2369090769","https://openalex.org/W2997509936","https://openalex.org/W2149871165","https://openalex.org/W2000540390","https://openalex.org/W2167268310","https://openalex.org/W1942969496"],"abstract_inverted_index":{"360-degree":[0,116],"video":[1,186],"is":[2,33,38],"on":[3,103],"the":[4,16,40,56,80,92,129,150,157],"cusp":[5],"of":[6,18,53,60,66,106,114,141,166,179],"going":[7],"mainstream.":[8],"Such":[9],"videos":[10],"have":[11],"a":[12,19,36,51,61,64,88,134,164,176],"large":[13],"size":[14,17],"(4-5\u2309":[15],"regular":[20],"one).":[21],"Since":[22],"each":[23],"viewer":[24,142,172],"has":[25],"to":[26,49,90,98,160,183,193],"wear":[27],"Head-Mounted":[28],"Display":[29],"(HMD),":[30],"screen":[31],"sharing":[32],"impossible":[34],"when":[35,127],"group":[37,52,65,165],"watching":[39,68,111,128],"same":[41,130],"content.":[42],"Multiple":[43],"parallel":[44],"video-streams":[45],"will":[46],"be":[47,161],"required":[48],"serve":[50,99],"viewers":[54,110,122],"along":[55],"last":[57],"mile":[58],"(think":[59],"family":[62],"or":[63],"friends":[67],"Super":[69],"Bowl":[70],"in":[71],"their":[72],"HMDs).":[73],"This":[74],"would":[75],"end":[76],"up":[77],"quickly":[78],"choking":[79],"entire":[81],"network.":[82],"In":[83],"this":[84],"paper,":[85],"we":[86,118],"present":[87,133],"scheme":[89,137],"optimize":[91,149],"network":[93],"bandwidth":[94,152,177,190],"using":[95],"motion-prediction-based":[96],"multicast":[97,151],"concurrent":[100],"viewers.":[101,167],"Based":[102],"empirical":[104],"evaluation":[105],"more":[107],"than":[108],"150":[109],"our":[112],"pool":[113],"sixteen":[115],"videos,":[117],"observe":[119],"that":[120],"most":[121],"follow":[123],"similar":[124],"motion":[125,143,173],"patterns":[126],"video.":[131],"We":[132],"data-":[135],"driven":[136],"for":[138],"temporal":[139],"prediction":[140],"from":[144],"previous":[145],"states,":[146],"and":[147,188],"hence":[148],"consumption":[153],"by":[154,163],"sending":[155],"only":[156],"portion":[158],"likely":[159],"watched":[162],"Our":[168],"evaluations":[169],"with":[170],"real":[171],"traces":[174],"show":[175],"saving":[178],"over":[180],"50%,":[181],"compared":[182,192],"full":[184],"frame":[185],"multicast,":[187],"significant":[189],"reduction":[191],"unicast.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
