{"id":"https://openalex.org/W2046009126","doi":"https://doi.org/10.1109/icmew.2013.6618348","title":"Modified weak fusion model for depthless streaming of 3D videos","display_name":"Modified weak fusion model for depthless streaming of 3D videos","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2046009126","doi":"https://doi.org/10.1109/icmew.2013.6618348","mag":"2046009126"},"language":"en","primary_location":{"id":"doi:10.1109/icmew.2013.6618348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew.2013.6618348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Multimedia and 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/A5021448845","display_name":"Dogancan Temel","orcid":"https://orcid.org/0000-0002-4892-1795"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dogancan Temel","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","Sch. of Electr. & Comput. Eng.,, Georgia Inst. of Technol., Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Sch. of Electr. & Comput. Eng.,, Georgia Inst. of Technol., Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011696853","display_name":"Qiongjie Lin","orcid":"https://orcid.org/0000-0001-8592-1025"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qiongjie Lin","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","Sch. of Electr. & Comput. Eng.,, Georgia Inst. of Technol., Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Sch. of Electr. & Comput. Eng.,, Georgia Inst. of Technol., Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026672123","display_name":"Guangcong Zhang","orcid":"https://orcid.org/0000-0003-3105-1903"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guangcong Zhang","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","Sch. of Electr. & Comput. Eng.,, Georgia Inst. of Technol., Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Sch. of Electr. & Comput. Eng.,, Georgia Inst. of Technol., Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006145139","display_name":"Ghassan AlRegib","orcid":"https://orcid.org/0000-0001-6818-8001"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ghassan AlRegib","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","Sch. of Electr. & Comput. Eng.,, Georgia Inst. of Technol., Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Sch. of Electr. & Comput. Eng.,, Georgia Inst. of Technol., Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11433114,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9994999766349792,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7201376557350159},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7109627723693848},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.6952953934669495},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6693732738494873},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6013612747192383},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5615754723548889},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.5426656603813171},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.48451870679855347},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.44635850191116333},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32251641154289246},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24988335371017456},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17893248796463013}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7201376557350159},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7109627723693848},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.6952953934669495},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6693732738494873},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6013612747192383},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5615754723548889},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.5426656603813171},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.48451870679855347},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.44635850191116333},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32251641154289246},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24988335371017456},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17893248796463013},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmew.2013.6618348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew.2013.6618348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)","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":10,"referenced_works":["https://openalex.org/W2003053962","https://openalex.org/W2016416397","https://openalex.org/W2052339612","https://openalex.org/W2119881781","https://openalex.org/W2120558518","https://openalex.org/W2164182318","https://openalex.org/W2165981022","https://openalex.org/W2547650990","https://openalex.org/W3029645440","https://openalex.org/W4301909677"],"related_works":["https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2047973478","https://openalex.org/W2067569035","https://openalex.org/W2090985514","https://openalex.org/W3210711677","https://openalex.org/W4200218943","https://openalex.org/W3111845905","https://openalex.org/W3202440119","https://openalex.org/W3010374521"],"abstract_inverted_index":{"We":[0,63,119],"propose":[1],"a":[2,44,71],"nonlinear":[3,72],"fusion":[4],"model":[5],"to":[6,99,113,148,167],"optimally":[7],"reconstruct":[8],"depth":[9,23,40,49,144,158],"maps":[10,145,159],"from":[11,24,54],"monocular":[12,68,129],"cues.":[13],"The":[14],"authors":[15],"in":[16,163],"[1]":[17],"showed":[18],"the":[19,32,61,65,105,135,138,149,161],"effectiveness":[20],"of":[21,60,67,137,151],"estimating":[22],"individual":[25],"cues,":[26],"which":[27],"saves":[28],"bandwidth":[29,164],"without":[30],"compromising":[31],"quality.":[33],"In":[34],"this":[35],"paper,":[36],"we":[37,91,109],"combine":[38],"such":[39],"map":[41,50],"estimates":[42,51],"as":[43,70,86],"Sensor":[45],"Fusion":[46],"problem.":[47],"These":[48],"are":[52,84],"extracted":[53],"color,":[55],"motion":[56],"and":[57,79],"texture":[58],"structure":[59],"scene.":[62],"address":[64],"combination":[66],"cues":[69],"optimization":[73],"problem":[74],"with":[75,127],"linear":[76,106],"constraints.":[77],"2D":[78],"3D":[80],"objective":[81],"quality":[82,136,150],"metrics":[83],"used":[85],"reliability":[87],"metrics.":[88],"At":[89],"first,":[90],"perform":[92,114],"Particle":[93],"Swarm":[94],"Optimization":[95],"based":[96,116,141,154],"on":[97,117,123,142,155],"PSNR":[98],"obtain":[100],"an":[101],"initial":[102],"estimate":[103],"for":[104],"weights.":[107],"Then,":[108],"use":[110],"these":[111],"weights":[112],"Active-Sets":[115],"3VQM.":[118],"tested":[120],"our":[121],"approach":[122],"various":[124],"video":[125],"sequences":[126],"different":[128],"characteristics.":[130],"Experimental":[131],"results":[132],"show":[133],"that":[134],"rendered":[139,152],"views":[140,153],"combined":[143],"is":[146,165],"comparable":[147],"ground":[156],"truth":[157],"while":[160],"savings":[162],"up":[166],"38:8%.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}