{"id":"https://openalex.org/W2296725822","doi":"https://doi.org/10.1109/icip.2015.7350930","title":"Fast label propagation for real-time superpixels for video content","display_name":"Fast label propagation for real-time superpixels for video content","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2296725822","doi":"https://doi.org/10.1109/icip.2015.7350930","mag":"2296725822"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7350930","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7350930","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","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/A5089801184","display_name":"Matthias Reso","orcid":"https://orcid.org/0000-0002-1582-5860"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]},{"id":"https://openalex.org/I4210088543","display_name":"Institut f\u00fcr Informationsverarbeitung","ror":"https://ror.org/0047j9t38","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210088543"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias Reso","raw_affiliation_strings":["Institut f\u00fcr Informationsverarbeitung, Leibniz Universit\u00e4t Hannover, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Informationsverarbeitung, Leibniz Universit\u00e4t Hannover, Germany","institution_ids":["https://openalex.org/I114112103","https://openalex.org/I4210088543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004818538","display_name":"J\u00f6rn Jachalsky","orcid":null},"institutions":[{"id":"https://openalex.org/I2929663463","display_name":"Technicolor (Germany)","ror":"https://ror.org/00besvm65","country_code":"DE","type":"company","lineage":["https://openalex.org/I2929663463","https://openalex.org/I4210121266"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jorn Jachalsky","raw_affiliation_strings":["Technicolor Research & Innovation, Hannover, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technicolor Research & Innovation, Hannover, Germany","institution_ids":["https://openalex.org/I2929663463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040412734","display_name":"Bodo Rosenhahn","orcid":"https://orcid.org/0000-0003-3861-1424"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]},{"id":"https://openalex.org/I4210088543","display_name":"Institut f\u00fcr Informationsverarbeitung","ror":"https://ror.org/0047j9t38","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210088543"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bodo Rosenhahn","raw_affiliation_strings":["Institut f\u00fcr Informationsverarbeitung, Leibniz Universit\u00e4t Hannover, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Informationsverarbeitung, Leibniz Universit\u00e4t Hannover, Germany","institution_ids":["https://openalex.org/I114112103","https://openalex.org/I4210088543"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064913233","display_name":"J\u00f6rn \u00d6stermann","orcid":"https://orcid.org/0000-0002-6743-3324"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]},{"id":"https://openalex.org/I4210088543","display_name":"Institut f\u00fcr Informationsverarbeitung","ror":"https://ror.org/0047j9t38","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210088543"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jorn Ostermann","raw_affiliation_strings":["Institut f\u00fcr Informationsverarbeitung, Leibniz Universit\u00e4t Hannover, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Informationsverarbeitung, Leibniz Universit\u00e4t Hannover, Germany","institution_ids":["https://openalex.org/I114112103","https://openalex.org/I4210088543"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2703,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62111471,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"33","issue":null,"first_page":"902","last_page":"906"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987999796867371,"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":0.9987999796867371,"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":0.8226830959320068},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.7752469182014465},{"id":"https://openalex.org/keywords/image-warping","display_name":"Image warping","score":0.7072824835777283},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6775669455528259},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6645494103431702},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6576724052429199},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5677037239074707},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5169512629508972},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4861840605735779},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.47471940517425537},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.42118164896965027},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3670792877674103},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22703608870506287}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8226830959320068},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.7752469182014465},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.7072824835777283},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6775669455528259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6645494103431702},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6576724052429199},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5677037239074707},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5169512629508972},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4861840605735779},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47471940517425537},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.42118164896965027},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3670792877674103},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22703608870506287},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2015.7350930","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7350930","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","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":23,"referenced_works":["https://openalex.org/W65124300","https://openalex.org/W159595522","https://openalex.org/W1500853963","https://openalex.org/W1578285471","https://openalex.org/W2030346542","https://openalex.org/W2081432165","https://openalex.org/W2096979710","https://openalex.org/W2104125540","https://openalex.org/W2110158442","https://openalex.org/W2111308925","https://openalex.org/W2113708607","https://openalex.org/W2128715362","https://openalex.org/W2130103520","https://openalex.org/W2136539266","https://openalex.org/W2139086308","https://openalex.org/W2169842471","https://openalex.org/W2294602567","https://openalex.org/W2407715397","https://openalex.org/W2914242123","https://openalex.org/W3040777582","https://openalex.org/W6670927870","https://openalex.org/W6679388247","https://openalex.org/W6780413204"],"related_works":["https://openalex.org/W1670332068","https://openalex.org/W2095618524","https://openalex.org/W2735770592","https://openalex.org/W1971024059","https://openalex.org/W1502062143","https://openalex.org/W4224236531","https://openalex.org/W4291993329","https://openalex.org/W2063177452","https://openalex.org/W2971088694","https://openalex.org/W2810129309"],"abstract_inverted_index":{"Many":[0],"recent":[1],"superpixel":[2],"algorithms":[3],"for":[4,46,69],"video":[5],"content":[6],"rely":[7],"on":[8,35,82],"dense":[9,63],"optical":[10,32,64],"flow":[11,33,65],"vectors":[12],"to":[13,20,57,99],"propagate":[14],"segmentation":[15,130],"results":[16,101,111],"from":[17],"one":[18],"frame":[19],"the":[21,28,31,36,58,100,118],"next.":[22],"In":[23,90],"this":[24],"paper,":[25],"we":[26,73,94],"assess":[27],"impact":[29],"of":[30,102,124],"quality":[34],"over-segmentation":[37],"quality.":[38,131],"Our":[39],"evaluation":[40],"shows":[41],"that":[42,79,113],"it":[43],"is":[44,66,80],"indispensable":[45],"videos":[47],"with":[48],"large":[49],"object":[50],"displacement":[51],"and":[52,86],"camera":[53],"motion.":[54],"But":[55],"due":[56],"high":[59],"computational":[60],"costs":[61],"high-quality,":[62],"not":[67],"suitable":[68],"real-time":[70],"applications.":[71],"Therefore,":[72],"propose":[74],"a":[75,91,122,128],"fast":[76],"propagation":[77,105,119],"scheme":[78,98],"based":[81],"sparse":[83],"feature":[84],"tracking":[85],"mesh-based":[87],"image":[88],"warping.":[89],"thorough":[92],"evaluation,":[93],"compare":[95],"our":[96,114],"proposed":[97],"other":[103],"state-of-the-art":[104],"methods":[106],"using":[107],"established":[108],"benchmarks.":[109],"The":[110],"show":[112],"method":[115],"speeds":[116],"up":[117],"process":[120],"by":[121],"factor":[123],"100":[125],"while":[126],"producing":[127],"comparable":[129]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
