{"id":"https://openalex.org/W4252073318","doi":"https://doi.org/10.1109/icip.2004.1418764","title":"Temporal stabilization of video object segmentation for 3D-TV applications","display_name":"Temporal stabilization of video object segmentation for 3D-TV applications","publication_year":2005,"publication_date":"2005-04-19","ids":{"openalex":"https://openalex.org/W4252073318","doi":"https://doi.org/10.1109/icip.2004.1418764"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2004.1418764","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2004.1418764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 International Conference on Image Processing, 2004. ICIP '04.","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/A5041929046","display_name":"\u00c7i\u011fdem Ero\u011flu Erdem","orcid":"https://orcid.org/0000-0002-9264-5652"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"C.E. Erdem","raw_affiliation_strings":["Momentum Digital Media Technologies, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Momentum Digital Media Technologies, Istanbul, Turkey","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060612809","display_name":"F. Ernst","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122849","display_name":"Philips (Netherlands)","ror":"https://ror.org/02p2bgp27","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210122849"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"F. Ernst","raw_affiliation_strings":["Faculty of Electrical Engineering, Philips Research Laboratories, Eindhoven, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Philips Research Laboratories, Eindhoven, Netherlands","institution_ids":["https://openalex.org/I4210122849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059459957","display_name":"A. Redert","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122849","display_name":"Philips (Netherlands)","ror":"https://ror.org/02p2bgp27","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210122849"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"A. Redert","raw_affiliation_strings":["Faculty of Electrical Engineering, Philips Research Laboratories, Eindhoven, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Philips Research Laboratories, Eindhoven, Netherlands","institution_ids":["https://openalex.org/I4210122849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003648772","display_name":"E. Hendriks","orcid":null},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"E. Hendriks","raw_affiliation_strings":["Faculty of Electrical Engineering, Delft University of Technnology, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Delft University of Technnology, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5982,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.74499666,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"357","last_page":"360"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13579","display_name":"Image and Video Stabilization","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"}},"topics":[{"id":"https://openalex.org/T13579","display_name":"Image and Video Stabilization","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"}},{"id":"https://openalex.org/T11408","display_name":"Advanced Optical Imaging Technologies","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9984999895095825,"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/segmentation","display_name":"Segmentation","score":0.8773088455200195},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7871215343475342},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7770653367042542},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7715187072753906},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6874160766601562},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.6628124117851257},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6194967031478882},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5355631709098816},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5221467614173889},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5082365870475769},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5037969946861267},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.42580854892730713},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4185448884963989},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3612745404243469},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1539437472820282},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08937731385231018}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8773088455200195},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7871215343475342},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7770653367042542},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7715187072753906},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6874160766601562},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.6628124117851257},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6194967031478882},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5355631709098816},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5221467614173889},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5082365870475769},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5037969946861267},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.42580854892730713},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4185448884963989},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3612745404243469},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1539437472820282},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08937731385231018},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2004.1418764","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2004.1418764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 International Conference on Image Processing, 2004. ICIP '04.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1969747427","https://openalex.org/W2071867759","https://openalex.org/W2106895190","https://openalex.org/W2124446947","https://openalex.org/W2131102448","https://openalex.org/W2137493099"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W1999008862","https://openalex.org/W2371519352","https://openalex.org/W4205800335","https://openalex.org/W2386644571","https://openalex.org/W2551987074"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,30,87],"method":[3],"for":[4,14,91],"improving":[5],"the":[6,38,61,73,100,116,124,139,145],"temporal":[7,23],"stability":[8,24,45],"of":[9,115,123],"video":[10],"object":[11,40,51,140],"segmentation":[12,52,78,110,141,147],"algorithms":[13],"3D-TV":[15],"applications.":[16,94],"First,":[17],"two":[18],"quantitative":[19,118],"measures":[20,119],"to":[21,137],"evaluate":[22],"without":[25,143],"ground-truth":[26],"are":[27,57,80],"presented.":[28],"Then,":[29],"pseudo-3D":[31],"curve":[32],"evolution":[33],"method,":[34],"which":[35,102],"spatio-temporally":[36],"stabilizes":[37],"estimated":[39],"segments":[41],"is":[42,46,63,72,97,106,135],"introduced.":[43],"Temporal":[44],"achieved":[47],"by":[48,99],"re-distributing":[49],"existing":[50],"errors":[53,79],"such":[54],"that":[55,75,104,133],"they":[56,82],"less":[58],"disturbing":[59],"when":[60],"scene":[62],"rendered":[64],"and":[65,120],"viewed":[66],"in":[67,86,109,113,121,127],"3D.":[68],"Our":[69],"starting":[70],"point":[71],"hypothesis":[74,96],"if":[76],"making":[77],"inevitable,":[81],"should":[83],"be":[84],"made":[85],"temporally":[88],"consistent":[89],"way":[90],"3D":[92],"TV":[93],"This":[95,131],"supported":[98],"experiments,":[101],"show":[103],"there":[105],"significant":[107],"improvement":[108],"quality":[111,142],"both":[112],"terms":[114,122],"objective":[117],"viewing":[125],"comfort":[126],"subjective":[128],"perceptual":[129],"tests.":[130],"shows":[132],"it":[134],"possible":[136],"increase":[138],"increasing":[144],"actual":[146],"accuracy.":[148]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}