{"id":"https://openalex.org/W4393245564","doi":"https://doi.org/10.1145/3651863.3651877","title":"VAAC-IM: Viewing Area Adaptive Control in Immersive Media Transmission","display_name":"VAAC-IM: Viewing Area Adaptive Control in Immersive Media Transmission","publication_year":2024,"publication_date":"2024-03-27","ids":{"openalex":"https://openalex.org/W4393245564","doi":"https://doi.org/10.1145/3651863.3651877"},"language":"en","primary_location":{"id":"doi:10.1145/3651863.3651877","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3651863.3651877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th Workshop on Network and Operating System Support for Digital Audio and Video","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/A5101913008","display_name":"Han Xiao","orcid":"https://orcid.org/0000-0001-7297-3803"},"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":false,"raw_author_name":"Han Xiao","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7297-3803","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069646989","display_name":"Changqiao Xu","orcid":"https://orcid.org/0000-0003-1467-1086"},"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":false,"raw_author_name":"Changqiao Xu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1467-1086","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010945178","display_name":"Chuxing Fang","orcid":"https://orcid.org/0009-0009-8589-3138"},"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":false,"raw_author_name":"Chuxing Fang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0009-8589-3138","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044191416","display_name":"Shujie Yang","orcid":"https://orcid.org/0000-0002-9597-2659"},"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":false,"raw_author_name":"Shujie Yang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9597-2659","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012513623","display_name":"Lujie Zhong","orcid":"https://orcid.org/0000-0002-2111-0896"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lujie Zhong","raw_affiliation_strings":["Capital Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2111-0896","affiliations":[{"raw_affiliation_string":"Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9993000030517578,"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":0.9993000030517578,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9987000226974487,"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":0.9958000183105469,"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/computer-science","display_name":"Computer science","score":0.8459804654121399},{"id":"https://openalex.org/keywords/viewport","display_name":"Viewport","score":0.6203804016113281},{"id":"https://openalex.org/keywords/submodular-set-function","display_name":"Submodular set function","score":0.48682326078414917},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4372848868370056},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.34273263812065125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33295315504074097}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8459804654121399},{"id":"https://openalex.org/C2778090530","wikidata":"https://www.wikidata.org/wiki/Q2523931","display_name":"Viewport","level":2,"score":0.6203804016113281},{"id":"https://openalex.org/C178621042","wikidata":"https://www.wikidata.org/wiki/Q7631710","display_name":"Submodular set function","level":2,"score":0.48682326078414917},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4372848868370056},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.34273263812065125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33295315504074097},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3651863.3651877","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3651863.3651877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th Workshop on Network and Operating System Support for Digital Audio and Video","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":27,"referenced_works":["https://openalex.org/W2014632568","https://openalex.org/W2022049946","https://openalex.org/W2576360927","https://openalex.org/W2620871200","https://openalex.org/W2622637199","https://openalex.org/W2896076858","https://openalex.org/W3004776029","https://openalex.org/W3017194848","https://openalex.org/W3038754372","https://openalex.org/W3093417331","https://openalex.org/W3138954746","https://openalex.org/W3161249521","https://openalex.org/W4205742833","https://openalex.org/W4206622365","https://openalex.org/W4210795263","https://openalex.org/W4293518102","https://openalex.org/W4293811398","https://openalex.org/W4300774767","https://openalex.org/W4312908038","https://openalex.org/W4321020980","https://openalex.org/W4361213567","https://openalex.org/W4361857501","https://openalex.org/W4367662595","https://openalex.org/W4390078475","https://openalex.org/W4390082965","https://openalex.org/W4390578067","https://openalex.org/W6783030881"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"The":[0,187],"viewport":[1],"in":[2,66,99,195],"immersive":[3,100,154],"media,":[4],"exemplified":[5],"by":[6],"panoramic":[7],"video,":[8],"corresponds":[9],"to":[10,42,74,92,125,175],"the":[11,20,26,30,43,52,58,67,94,117,132,136],"field":[12,121],"of":[13,22,36,61,69,76,97,119,122,135,197],"view":[14,123],"(FoV)":[15],"and":[16,25,32,57,88,108,169,207],"significantly":[17,192],"impacts":[18],"both":[19],"volume":[21],"data":[23,62,84,203],"transmission":[24,46,68],"user":[27,37,210],"experience.":[28,211],"However,":[29],"instantaneous":[31],"highly":[33],"dynamic":[34],"nature":[35,60],"interactions":[38],"poses":[39],"a":[40,49,164,171,184],"challenge":[41],"traditional":[44],"segment-based":[45],"mode,":[47],"creating":[48],"conflict":[50],"between":[51],"need":[53],"for":[54,152],"real-time":[55],"responsiveness":[56],"structured":[59],"delivery.":[63],"It":[64],"results":[65,188],"substantial":[70],"redundant":[71],"data,":[72],"leading":[73],"wastage":[75],"valuable":[77],"resources.":[78],"In":[79],"this":[80],"paper,":[81],"we":[82,115,182],"analyze":[83],"from":[85],"open-source":[86],"dataset":[87],"our":[89],"self-collected":[90],"records":[91],"investigate":[93],"interactive":[95],"characteristics":[96],"viewer":[98],"scenes,":[101],"e.g.,":[102],"focus":[103],"time,":[104],"viewing":[105,128,143,159],"area":[106,144,160],"scope,":[107],"movement":[109],"direction.":[110],"Based":[111],"on":[112],"statistical":[113],"inferences,":[114],"introduce":[116],"concept":[118],"extended":[120],"(EoV)":[124],"describe":[126],"irregular":[127,178],"areas":[129],"that":[130,190],"mimic":[131],"moving":[133],"features":[134],"human":[137],"visual":[138],"field.":[139],"A":[140],"motion-aware":[141],"tile-based":[142],"adaptive":[145],"control":[146,161,177],"scheme,":[147],"termed":[148],"VAAC-IM,":[149],"is":[150],"designed":[151],"transmitting":[153],"media":[155],"flexibly.":[156],"We":[157],"model":[158],"process":[162],"as":[163],"constrained":[165],"submodular":[166],"minimization":[167],"problem,":[168],"design":[170],"greedy":[172],"search-based":[173],"strategy":[174],"dynamically":[176],"EoV":[179],"area.":[180],"Finally,":[181],"perform":[183],"comprehensive":[185],"validation.":[186],"demonstrate":[189],"VAAC-IM":[191],"enhances":[193],"performance":[194],"terms":[196],"reducing":[198],"black":[199],"edge":[200],"coverage,":[201],"minimizing":[202],"volume,":[204],"lowering":[205],"latency,":[206],"improving":[208],"overall":[209]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
