{"id":"https://openalex.org/W2109385911","doi":"https://doi.org/10.1145/2632856.2632896","title":"Video Segmentation via Adaptive Higher-Order CRF with Windowed Dynamics","display_name":"Video Segmentation via Adaptive Higher-Order CRF with Windowed Dynamics","publication_year":2014,"publication_date":"2014-07-10","ids":{"openalex":"https://openalex.org/W2109385911","doi":"https://doi.org/10.1145/2632856.2632896","mag":"2109385911"},"language":"en","primary_location":{"id":"doi:10.1145/2632856.2632896","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2632856.2632896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of International Conference on Internet Multimedia Computing and Service","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/A5116568434","display_name":"Xiaonan Song","orcid":"https://orcid.org/0000-0002-9877-1473"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaonan Song","raw_affiliation_strings":["School of Software Engineering and Technology, Tianjin University, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering and Technology, Tianjin University, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031819155","display_name":"Yahong Han","orcid":"https://orcid.org/0000-0003-2768-1398"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yahong Han","raw_affiliation_strings":["School of Computer Science and Technology, Tianjin University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005727907","display_name":"Jianmin Jiang","orcid":"https://orcid.org/0000-0002-7576-3999"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianmin Jiang","raw_affiliation_strings":["Research Institute of Future Media Computing, Shenzhen University, China","Research Institute of Future Media Computing, Shenzhen University, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Research Institute of Future Media Computing, Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Research Institute of Future Media Computing, Shenzhen University, China#TAB#","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016376222","display_name":"Adrian Hilton","orcid":"https://orcid.org/0000-0003-4223-238X"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Adrian Hilton","raw_affiliation_strings":["University of Surrey, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Surrey, United Kingdom","institution_ids":["https://openalex.org/I28290843"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5116568434"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15848707,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T11605","display_name":"Visual Attention and Saliency Detection","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/T10531","display_name":"Advanced Vision and Imaging","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/segmentation","display_name":"Segmentation","score":0.8132426142692566},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7875484824180603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.677172839641571},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5827839374542236},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5641108751296997},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5401401519775391},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5079560875892639},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.4849884510040283},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4296149015426636}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8132426142692566},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7875484824180603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.677172839641571},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5827839374542236},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5641108751296997},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5401401519775391},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5079560875892639},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.4849884510040283},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4296149015426636}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2632856.2632896","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2632856.2632896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of International Conference on Internet Multimedia Computing and Service","raw_type":"proceedings-article"},{"id":"pmh:oai:alma.44SUR_INST:11140185110002346","is_oa":false,"landing_page_url":"https://openresearch.surrey.ac.uk/esploro/outputs/journalArticle/Video-segmentation-via-adaptive-higher-order-CRF/99516894302346","pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:epubs.surrey.ac.uk:838957","is_oa":false,"landing_page_url":"http://epubs.surrey.ac.uk/838957/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400680","display_name":"Surrey Research Insight Open Access (The University of Surrey)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28290843","host_organization_name":"University of Surrey","host_organization_lineage":["https://openalex.org/I28290843"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3566858457","display_name":null,"funder_award_id":"EP/F02827X/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W27675589","https://openalex.org/W1955404912","https://openalex.org/W1992947230","https://openalex.org/W2004539283","https://openalex.org/W2030346542","https://openalex.org/W2043915390","https://openalex.org/W2099814188","https://openalex.org/W2116877738","https://openalex.org/W2118246710","https://openalex.org/W2142961844","https://openalex.org/W2147880316","https://openalex.org/W4244761549"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W1986655823","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W4205800335","https://openalex.org/W2055202857","https://openalex.org/W2371519352","https://openalex.org/W2386644571","https://openalex.org/W2372421320"],"abstract_inverted_index":{"In":[0,24],"this":[1],"paper,":[2],"we":[3],"propose":[4],"an":[5],"adaptive":[6,54,72],"higher-order":[7],"CRF":[8],"(HCRF)":[9],"labeling":[10,51],"approach":[11,34,77],"towards":[12],"automatic":[13],"video":[14,56,113],"object":[15],"segmentation":[16,41,87,114],"with":[17,26],"better":[18],"performances,":[19],"higher":[20],"effectiveness":[21],"and":[22,94],"efficiency.":[23],"comparison":[25],"the":[27,31,90,112],"existing":[28],"state":[29],"of":[30,40,65],"arts,":[32],"our":[33,108],"achieves":[35],"further":[36],"improvements":[37],"in":[38],"terms":[39],"results.":[42],"Our":[43,76],"contribution":[44],"can":[45,110],"be":[46,95],"highlighted":[47],"as:":[48],"(i)":[49],"HCRF":[50],"is":[52,68,78],"made":[53],"to":[55,88],"content":[57],"changes":[58],"via":[59,71],"a":[60,84],"windowed":[61],"dynamics;":[62],"(ii)":[63],"Fusion":[64],"multiple":[66],"features":[67],"automatically":[69],"optimized":[70],"weight":[73],"parameters;":[74],"(iii)":[75],"suitable":[79],"for":[80],"pre-segmentations":[81],"base":[82],"on":[83,100],"simpler":[85],"image":[86],"reduce":[89],"overall":[91],"computing":[92],"cost,":[93],"easily":[96],"generalized":[97],"without":[98],"compromising":[99],"its":[101],"performances.":[102],"The":[103],"experimental":[104],"results":[105],"show":[106],"that":[107],"method":[109],"improve":[111],"performance.":[115]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
