{"id":"https://openalex.org/W2077871141","doi":"https://doi.org/10.1145/1324287.1324289","title":"Rate-distortion optimized streaming of fine-grained scalable video sequences","display_name":"Rate-distortion optimized streaming of fine-grained scalable video sequences","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2077871141","doi":"https://doi.org/10.1145/1324287.1324289","mag":"2077871141"},"language":"en","primary_location":{"id":"doi:10.1145/1324287.1324289","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1324287.1324289","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-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/A5084024266","display_name":"Mohamed Hefeeda","orcid":"https://orcid.org/0000-0003-3261-4376"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Mohamed Hefeeda","raw_affiliation_strings":["Simon Fraser University, Surrey BC, Canada","Simon Fraser University, Surrey, BC, CANADA"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University, Surrey BC, Canada","institution_ids":["https://openalex.org/I18014758"]},{"raw_affiliation_string":"Simon Fraser University, Surrey, BC, CANADA","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034696208","display_name":"Cheng-Hsin Hsu","orcid":"https://orcid.org/0000-0002-8116-2591"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Cheng-Hsin Hsu","raw_affiliation_strings":["Simon Fraser University, Surrey BC, Canada","Simon Fraser University, Surrey, BC, CANADA"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University, Surrey BC, Canada","institution_ids":["https://openalex.org/I18014758"]},{"raw_affiliation_string":"Simon Fraser University, Surrey, BC, CANADA","institution_ids":["https://openalex.org/I18014758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5084024266"],"corresponding_institution_ids":["https://openalex.org/I18014758"],"apc_list":null,"apc_paid":null,"fwci":3.4185,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.92364821,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"4","issue":"1","first_page":"1","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9990000128746033,"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"}},{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9945999979972839,"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/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9483000040054321,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/rounding","display_name":"Rounding","score":0.7632449865341187},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6815407276153564},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5911639332771301},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5141980648040771},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.4883272349834442},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.48016518354415894},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.47512346506118774},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4635424315929413},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.44992175698280334},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.42130279541015625},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3793294429779053},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20167195796966553},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1245398223400116}],"concepts":[{"id":"https://openalex.org/C136625980","wikidata":"https://www.wikidata.org/wiki/Q663208","display_name":"Rounding","level":2,"score":0.7632449865341187},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6815407276153564},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5911639332771301},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5141980648040771},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.4883272349834442},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.48016518354415894},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.47512346506118774},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4635424315929413},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.44992175698280334},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.42130279541015625},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3793294429779053},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20167195796966553},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1245398223400116},{"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1324287.1324289","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1324287.1324289","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.114.5046","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.114.5046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.sfu.ca/~mhefeeda/Papers/tomccap08_fgs.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4459460550","display_name":null,"funder_award_id":"___amp___num;313083___amp___num;344619","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W73629738","https://openalex.org/W201617231","https://openalex.org/W1481550144","https://openalex.org/W1588373553","https://openalex.org/W1997188340","https://openalex.org/W2013462569","https://openalex.org/W2047156584","https://openalex.org/W2048947968","https://openalex.org/W2053913299","https://openalex.org/W2069323107","https://openalex.org/W2071726508","https://openalex.org/W2074060531","https://openalex.org/W2083786416","https://openalex.org/W2090251087","https://openalex.org/W2098768521","https://openalex.org/W2102637794","https://openalex.org/W2115754770","https://openalex.org/W2131039631","https://openalex.org/W2133659173","https://openalex.org/W2138655543","https://openalex.org/W2139899539","https://openalex.org/W2163135348","https://openalex.org/W2163625529","https://openalex.org/W2165479605","https://openalex.org/W2166615620","https://openalex.org/W3140428646","https://openalex.org/W4233459951","https://openalex.org/W4285719527","https://openalex.org/W4388742688","https://openalex.org/W6668475955"],"related_works":["https://openalex.org/W4243934122","https://openalex.org/W2983685817","https://openalex.org/W2011675579","https://openalex.org/W4285278887","https://openalex.org/W2995925505","https://openalex.org/W134783735","https://openalex.org/W2365237642","https://openalex.org/W3116484972","https://openalex.org/W4232431455","https://openalex.org/W3200611036"],"abstract_inverted_index":{"We":[0,56,90,124,142,174,197,226],"present":[1],"optimal":[2,195,256],"schemes":[3],"for":[4,64,204,243],"allocating":[5],"bits":[6],"of":[7,52,111,114,122,224,251,259,282],"fine-grained":[8],"scalable":[9],"video":[10,54,115,289],"sequences":[11],"among":[12],"multiple":[13,72],"senders":[14],"streaming":[15,35],"to":[16,70,97,135,154],"a":[17,145,155,182,190,200,235],"single":[18],"receiver.":[19,123],"This":[20],"allocation":[21,79,207,284],"problem":[22,63,80,134,153,208],"is":[23,86,188,221,230],"critical":[24],"in":[25,30,38,43,88,94,102,211,268,286],"optimizing":[26],"the":[27,53,62,71,78,95,99,103,108,127,132,151,171,186,194,205,222,244,255,280,288],"perceived":[28],"quality":[29],"peer-to-peer":[31],"and":[32,47,59,119,185,247,278],"distributed":[33],"multi-server":[34],"environments.":[36],"Senders":[37],"such":[39,169],"environments":[40],"are":[41],"heterogeneous":[42],"their":[44],"outgoing":[45,109],"bandwidth":[46,110,121],"they":[48],"hold":[49],"different":[50],"portions":[51],"stream.":[55],"first":[57],"formulate":[58,77],"optimally":[60],"solve":[61],"individual":[65],"frames,":[66],"then":[67,143],"we":[68,76,233],"generalize":[69],"frame":[73],"case.":[74],"Specifically,":[75],"as":[81,170],"an":[82,136,249],"optimization":[83,167],"problem,":[84],"which":[85,160],"nonlinear":[87,133],"general.":[89],"use":[91],"rate-distortion":[92,129],"models":[93,130],"formulation":[96],"achieve":[98],"minimum":[100],"distortion":[101],"rendered":[104],"video,":[105],"constrained":[106],"by":[107],"senders,":[112,118],"availability":[113],"data":[116],"at":[117],"incoming":[120],"show":[125],"how":[126],"adopted":[128],"transform":[131],"integer":[137],"linear":[138,156],"programming":[139,157],"(ILP)":[140],"problem.":[141],"design":[144],"simple":[146],"rounding":[147,178],"scheme":[148,179],"that":[149,176,209,228,239],"transforms":[150],"ILP":[152],"(LP)":[158],"one,":[159],"can":[161,265],"be":[162,266],"solved":[163],"efficiently":[164],"using":[165],"common":[166],"techniques":[168],"Simplex":[172],"method.":[173],"prove":[175,227],"our":[177,275,283],"always":[180],"produces":[181,240],"feasible":[183],"solution,":[184],"solution":[187],"within":[189],"negligible":[191],"margin":[192],"from":[193],"solution.":[196],"also":[198],"propose":[199,234],"new":[201],"algorithm":[202,237],"(FGSAssign)":[203],"single-frame":[206],"runs":[210,248],"O":[212],"(":[213],"n":[214,216,220],"log":[215],")":[217],"steps,":[218],"where":[219],"number":[223],"senders.":[225],"FGSAssign":[229],"optimal.":[231],"Furthermore,":[232],"heuristic":[236],"(mFGSAssign)":[238],"near-optimal":[241],"solutions":[242],"multiple-frame":[245],"case,":[246],"order":[250],"magnitude":[252],"faster":[253],"than":[254],"one.":[257],"Because":[258],"its":[260],"short":[261],"running":[262],"time,":[263],"mFGSAssign":[264],"used":[267],"real":[269],"time.":[270],"Our":[271],"experimental":[272],"study":[273],"validates":[274],"analytical":[276],"analysis":[277],"shows":[279],"effectiveness":[281],"algorithms":[285],"improving":[287],"quality.":[290]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}