{"id":"https://openalex.org/W2608244370","doi":"https://doi.org/10.1109/icpr.2016.7899994","title":"Unsupervised learning of supervoxel embeddings for video Segmentation","display_name":"Unsupervised learning of supervoxel embeddings for video Segmentation","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2608244370","doi":"https://doi.org/10.1109/icpr.2016.7899994","mag":"2608244370"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7899994","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899994","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","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/A5054957853","display_name":"Mehran Khodabandeh","orcid":null},"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"]},{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["CA","JP"],"is_corresponding":true,"raw_author_name":"Mehran Khodabandeh","raw_affiliation_strings":["National Institute of Informatics","Simon Fraser University"],"affiliations":[{"raw_affiliation_string":"National Institute of Informatics","institution_ids":["https://openalex.org/I184597095"]},{"raw_affiliation_string":"Simon Fraser University","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003833505","display_name":"S. Muralidharan","orcid":"https://orcid.org/0000-0001-5228-2271"},"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":"Srikanth Muralidharan","raw_affiliation_strings":["Simon Fraser University"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038984764","display_name":"Arash Vahdat","orcid":"https://orcid.org/0009-0005-9476-1306"},"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":"Arash Vahdat","raw_affiliation_strings":["Simon Fraser University"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044443883","display_name":"Nazanin Mehrasa","orcid":null},"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":"Nazanin Mehrasa","raw_affiliation_strings":["Simon Fraser University"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102355791","display_name":"Eduardo M. Pereira","orcid":null},"institutions":[{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Eduardo M. Pereira","raw_affiliation_strings":["INESC TEC"],"affiliations":[{"raw_affiliation_string":"INESC TEC","institution_ids":["https://openalex.org/I4210166615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102743927","display_name":"Shin\u2019ichi Satoh","orcid":"https://orcid.org/0000-0001-6995-6447"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shin'ichi Satoh","raw_affiliation_strings":["National Institute of Informatics"],"affiliations":[{"raw_affiliation_string":"National Institute of Informatics","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110713539","display_name":"Greg Mori","orcid":null},"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":"Greg Mori","raw_affiliation_strings":["Simon Fraser University"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University","institution_ids":["https://openalex.org/I18014758"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5054957853"],"corresponding_institution_ids":["https://openalex.org/I18014758","https://openalex.org/I184597095"],"apc_list":null,"apc_paid":null,"fwci":0.334,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.69444678,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2392","last_page":"2397"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9993000030517578,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9993000030517578,"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":0.9991999864578247,"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":0.9988999962806702,"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":0.8108644485473633},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7291477918624878},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.718281090259552},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6406804323196411},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.6181865930557251},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6054320931434631},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.5841706395149231},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5251421928405762},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.48846378922462463},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46938273310661316},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4366898536682129},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.4178856611251831},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3347223997116089}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8108644485473633},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7291477918624878},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.718281090259552},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6406804323196411},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.6181865930557251},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6054320931434631},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.5841706395149231},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5251421928405762},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.48846378922462463},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46938273310661316},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4366898536682129},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.4178856611251831},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3347223997116089},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2016.7899994","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899994","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","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":26,"referenced_works":["https://openalex.org/W159595522","https://openalex.org/W318042436","https://openalex.org/W1500853963","https://openalex.org/W1595717062","https://openalex.org/W1614298861","https://openalex.org/W1903029394","https://openalex.org/W1905882502","https://openalex.org/W1912148408","https://openalex.org/W1950703464","https://openalex.org/W1994356125","https://openalex.org/W2016053056","https://openalex.org/W2024938892","https://openalex.org/W2092284239","https://openalex.org/W2096979710","https://openalex.org/W2099330788","https://openalex.org/W2116435618","https://openalex.org/W2126164636","https://openalex.org/W2141720053","https://openalex.org/W2155598147","https://openalex.org/W2294631093","https://openalex.org/W2308045930","https://openalex.org/W2950577311","https://openalex.org/W6629780553","https://openalex.org/W6635755983","https://openalex.org/W6639879311","https://openalex.org/W6640676278"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W3174759195","https://openalex.org/W3167013339","https://openalex.org/W4287121366","https://openalex.org/W60493759","https://openalex.org/W4308619659","https://openalex.org/W3213069564","https://openalex.org/W4378421684","https://openalex.org/W4294203825","https://openalex.org/W1505616161"],"abstract_inverted_index":{"We":[0],"present":[1],"an":[2,31,61],"algorithm":[3],"for":[4,9,34,40,58],"learning":[5,35],"a":[6,55],"feature":[7,37,44,56],"representation":[8,38,45],"video":[10,13,49],"segmentation.":[11],"Standard":[12],"segmentation":[14],"algorithms":[15],"utilize":[16],"similarity":[17],"measurements":[18],"in":[19,60],"order":[20],"to":[21],"group":[22],"related":[23],"pixels.":[24],"The":[25,43],"contribution":[26],"of":[27,91],"our":[28],"paper":[29],"is":[30,46],"unsupervised":[32,62],"method":[33],"the":[36,75,89],"used":[39],"this":[41,92],"similarity.":[42],"defined":[47],"over":[48],"supervoxels.":[50],"An":[51],"embedding":[52,95],"framework":[53],"learns":[54],"mapping":[57],"supervoxels":[59,66,82],"fashion":[63],"such":[64],"that":[65],"with":[67],"similar":[68,71,81],"context":[69],"have":[70],"embeddings.":[72],"Based":[73],"on":[74,96],"learned":[76,93],"representation,":[77],"we":[78],"can":[79],"merge":[80],"into":[83],"spatio-temporal":[84],"segments.":[85],"Experimental":[86],"results":[87],"demonstrate":[88],"effectiveness":[90],"supervoxel":[94],"standard":[97],"benchmark":[98],"data.":[99]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}