{"id":"https://openalex.org/W4393305204","doi":"https://doi.org/10.1109/tip.2024.3381445","title":"Region Aware Video Object Segmentation With Deep Motion Modeling","display_name":"Region Aware Video Object Segmentation With Deep Motion Modeling","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4393305204","doi":"https://doi.org/10.1109/tip.2024.3381445","pmid":"https://pubmed.ncbi.nlm.nih.gov/38551827"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2024.3381445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3381445","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://hdl.handle.net/10072/431963","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039119622","display_name":"Bo Miao","orcid":"https://orcid.org/0000-0002-3025-4429"},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"The University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Bo Miao","raw_affiliation_strings":["Department of Computer Science and Software Engineering, The University of Western Australia, Crawley, Perth, WA, Australia"],"raw_orcid":"https://orcid.org/0000-0002-3025-4429","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, The University of Western Australia, Crawley, Perth, WA, Australia","institution_ids":["https://openalex.org/I177877127"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009750573","display_name":"Mohammed Bennamoun","orcid":"https://orcid.org/0000-0002-6603-3257"},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"The University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mohammed Bennamoun","raw_affiliation_strings":["Department of Computer Science and Software Engineering, The University of Western Australia, Crawley, Perth, WA, Australia"],"raw_orcid":"https://orcid.org/0000-0002-6603-3257","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, The University of Western Australia, Crawley, Perth, WA, Australia","institution_ids":["https://openalex.org/I177877127"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071549690","display_name":"Yongsheng Gao","orcid":"https://orcid.org/0000-0002-5382-5351"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yongsheng Gao","raw_affiliation_strings":["School of Engineering, Griffith University, Brisbane, QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0002-5382-5351","affiliations":[{"raw_affiliation_string":"School of Engineering, Griffith University, Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089986388","display_name":"Ajmal Mian","orcid":"https://orcid.org/0000-0002-5206-3842"},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"The University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ajmal Mian","raw_affiliation_strings":["Department of Computer Science and Software Engineering, The University of Western Australia, Crawley, Perth, WA, Australia"],"raw_orcid":"https://orcid.org/0000-0002-5206-3842","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, The University of Western Australia, Crawley, Perth, WA, Australia","institution_ids":["https://openalex.org/I177877127"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.0656,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.92453687,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"33","issue":null,"first_page":"2639","last_page":"2651"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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/T11605","display_name":"Visual Attention and Saliency Detection","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991000294685364,"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/computer-science","display_name":"Computer science","score":0.8223459720611572},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.818048357963562},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7604956030845642},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7299348711967468},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5003111362457275},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.49331918358802795},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.48897063732147217},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4330720603466034},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4139203727245331},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3852626383304596}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8223459720611572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.818048357963562},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7604956030845642},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7299348711967468},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5003111362457275},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.49331918358802795},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.48897063732147217},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4330720603466034},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4139203727245331},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3852626383304596},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tip.2024.3381445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3381445","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:38551827","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38551827","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:pure.atira.dk:publications/1e1e30be-eb9e-4301-972e-32a21b2ab2be","is_oa":false,"landing_page_url":"https://research-repository.uwa.edu.au/en/publications/1e1e30be-eb9e-4301-972e-32a21b2ab2be","pdf_url":null,"source":{"id":"https://openalex.org/S4306402523","display_name":"UWA Profiles and Research Repository (University of Western Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177877127","host_organization_name":"The University of Western Australia","host_organization_lineage":["https://openalex.org/I177877127"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Miao, B, Bennamoun, M, Gao, Y & Mian, A 2024, 'Region Aware Video Object Segmentation With Deep Motion Modeling', IEEE Transactions on Image Processing, vol. 33, pp. 2639-2651. https://doi.org/10.1109/TIP.2024.3381445","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/431963","is_oa":true,"landing_page_url":"https://hdl.handle.net/10072/431963","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal article"}],"best_oa_location":{"id":"pmh:oai:research-repository.griffith.edu.au:10072/431963","is_oa":true,"landing_page_url":"https://hdl.handle.net/10072/431963","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8222488688","display_name":"Robust and Explainable 3D Computer Vision","funder_award_id":"FT210100268","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":97,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2064675550","https://openalex.org/W2115186366","https://openalex.org/W2157331557","https://openalex.org/W2187051054","https://openalex.org/W2194775991","https://openalex.org/W2294182682","https://openalex.org/W2470139095","https://openalex.org/W2564998703","https://openalex.org/W2588240745","https://openalex.org/W2595280704","https://openalex.org/W2603203130","https://openalex.org/W2740667773","https://openalex.org/W2798441772","https://openalex.org/W2799157347","https://openalex.org/W2799239273","https://openalex.org/W2889658408","https://openalex.org/W2890447039","https://openalex.org/W2911981226","https://openalex.org/W2916743882","https://openalex.org/W2916797271","https://openalex.org/W2921536280","https://openalex.org/W2954890601","https://openalex.org/W2962803115","https://openalex.org/W2963131444","https://openalex.org/W2963227409","https://openalex.org/W2963253279","https://openalex.org/W2963503215","https://openalex.org/W2963732700","https://openalex.org/W2963773230","https://openalex.org/W2964157492","https://openalex.org/W2964218467","https://openalex.org/W2964343881","https://openalex.org/W2965729941","https://openalex.org/W2967622921","https://openalex.org/W2989161706","https://openalex.org/W2990205821","https://openalex.org/W2990806702","https://openalex.org/W3028052296","https://openalex.org/W3034438741","https://openalex.org/W3034538699","https://openalex.org/W3034798428","https://openalex.org/W3034915791","https://openalex.org/W3034925352","https://openalex.org/W3035042565","https://openalex.org/W3035077787","https://openalex.org/W3035080658","https://openalex.org/W3048602385","https://openalex.org/W3049318984","https://openalex.org/W3094664776","https://openalex.org/W3095753995","https://openalex.org/W3102457447","https://openalex.org/W3106773277","https://openalex.org/W3106920598","https://openalex.org/W3108819577","https://openalex.org/W3109908659","https://openalex.org/W3110030584","https://openalex.org/W3117097536","https://openalex.org/W3160550216","https://openalex.org/W3166738350","https://openalex.org/W3167949052","https://openalex.org/W3170630188","https://openalex.org/W3172675153","https://openalex.org/W3175132347","https://openalex.org/W3175373394","https://openalex.org/W3177322837","https://openalex.org/W3183673520","https://openalex.org/W3186378100","https://openalex.org/W3192871594","https://openalex.org/W3200949949","https://openalex.org/W3202961428","https://openalex.org/W3207101999","https://openalex.org/W3212555189","https://openalex.org/W4200318028","https://openalex.org/W4214542306","https://openalex.org/W4286904999","https://openalex.org/W4289752563","https://openalex.org/W4312293671","https://openalex.org/W4312295067","https://openalex.org/W4312396403","https://openalex.org/W4312510454","https://openalex.org/W4312845411","https://openalex.org/W4313171270","https://openalex.org/W4390873204","https://openalex.org/W6631190155","https://openalex.org/W6677548441","https://openalex.org/W6732742072","https://openalex.org/W6754033419","https://openalex.org/W6759534164","https://openalex.org/W6766978945","https://openalex.org/W6784713722","https://openalex.org/W6785496661","https://openalex.org/W6796505553","https://openalex.org/W6796524941","https://openalex.org/W6802459829","https://openalex.org/W6804443999","https://openalex.org/W6846581650"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W2087343574","https://openalex.org/W4246352526","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Current":[0],"semi-supervised":[1],"video":[2],"object":[3,17,48,57,62,71,81],"segmentation":[4,49],"(VOS)":[5],"methods":[6],"often":[7],"employ":[8],"the":[9,65,77,104,107,128],"entire":[10],"features":[11,72,105],"of":[12,43,110,130],"one":[13],"frame":[14],"to":[15,60,97,114,126],"predict":[16,61],"masks":[18],"and":[19,50,79,138,141,168],"update":[20],"memory.":[21],"This":[22],"introduces":[23],"significant":[24],"redundant":[25,100],"computations.":[26],"To":[27],"reduce":[28],"redundancy,":[29],"we":[30,92,116],"introduce":[31],"a":[32,55,119],"Region":[33],"Aware":[34],"Video":[35],"Object":[36],"Segmentation":[37],"(RAVOS)":[38],"approach,":[39],"which":[40],"predicts":[41],"regions":[42],"interest":[44],"(ROIs)":[45],"for":[46,85],"efficient":[47,69,89],"memory":[51,90,96],"storage.":[52],"RAVOS":[53],"includes":[54],"fast":[56],"motion":[58,94,108],"tracker":[59],"ROIs":[63],"in":[64],"next":[66],"frame.":[67],"For":[68,88],"segmentation,":[70],"are":[73],"extracted":[74],"based":[75],"on":[76,136,166,176],"ROIs,":[78],"an":[80],"decoder":[82],"is":[83],"designed":[84],"object-level":[86],"segmentation.":[87],"storage,":[91],"propose":[93,118],"path":[95,109],"filter":[98],"out":[99],"context":[101],"by":[102],"memorizing":[103],"within":[106],"objects.":[111],"In":[112],"addition":[113],"RAVOS,":[115],"also":[117],"large-scale":[120],"occluded":[121],"VOS":[122,131],"dataset,":[123],"dubbed":[124],"OVOS,":[125],"benchmark":[127],"performance":[129,152],"models":[132],"under":[133],"occlusions.":[134],"Evaluation":[135],"DAVIS":[137,167],"YouTube-VOS":[139],"benchmarks":[140],"our":[142,148],"new":[143],"OVOS":[144],"dataset":[145],"show":[146],"that":[147],"method":[149],"achieves":[150],"state-of-the-art":[151],"with":[153],"significantly":[154],"faster":[155],"inference":[156],"time,":[157],"e.g.,":[158],"86.1":[159],"J":[160,170],"&":[161,171],"F":[162,172],"at":[163,173],"42":[164],"FPS":[165,175],"84.4":[169],"23":[174],"YouTube-VOS.":[177],"Project":[178],"page:":[179],"ravos.netlify.app.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
