{"id":"https://openalex.org/W2153246579","doi":"https://doi.org/10.1109/icip.2009.5413569","title":"A novel semantic model for video concept detection","display_name":"A novel semantic model for video concept detection","publication_year":2009,"publication_date":"2009-11-01","ids":{"openalex":"https://openalex.org/W2153246579","doi":"https://doi.org/10.1109/icip.2009.5413569","mag":"2153246579"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2009.5413569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413569","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th 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/A5101746227","display_name":"Songhao Zhu","orcid":"https://orcid.org/0000-0002-9891-5692"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songhao Zhu","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061110835","display_name":"Yuncai Liu","orcid":"https://orcid.org/0000-0002-4040-4478"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuncai Liu","raw_affiliation_strings":["Shanghai Jiaotong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1837","last_page":"1840"},"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":0.9995999932289124,"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"}},"topics":[{"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/T11439","display_name":"Video Analysis and Summarization","score":0.9994000196456909,"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/T10812","display_name":"Human Pose and Action Recognition","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/pairwise-comparison","display_name":"Pairwise comparison","score":0.8965086936950684},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7763544321060181},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6220993399620056},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6085120439529419},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5565370321273804},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.49157604575157166},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.4861557185649872},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4808679223060608},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4600614607334137},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36204907298088074},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33954164385795593},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.163470059633255},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.11212986707687378}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.8965086936950684},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7763544321060181},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6220993399620056},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6085120439529419},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5565370321273804},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.49157604575157166},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.4861557185649872},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4808679223060608},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4600614607334137},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36204907298088074},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33954164385795593},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.163470059633255},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11212986707687378},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2009.5413569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413569","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W115432069","https://openalex.org/W1479807131","https://openalex.org/W1992404395","https://openalex.org/W2089935074","https://openalex.org/W2098300918","https://openalex.org/W2114776209","https://openalex.org/W2139823104","https://openalex.org/W2154455818","https://openalex.org/W6604693014","https://openalex.org/W6682494755"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W2487162673","https://openalex.org/W2942366970","https://openalex.org/W2793211469","https://openalex.org/W2894446834","https://openalex.org/W2131420021"],"abstract_inverted_index":{"Graph-based":[0],"semi-supervised":[1],"learning":[2],"approaches":[3],"have":[4],"been":[5,42],"proven":[6],"effective":[7],"and":[8,126],"efficient":[9],"in":[10,20,93],"solving":[11],"the":[12,15,46,54,64,71,88,109,124,135,141,144,147],"problem":[13],"of":[14,17,33,56,67,81,111,129,146],"inefficiency":[16],"training":[18],"samples":[19,61],"many":[21],"real-world":[22],"application":[23],"areas,":[24],"such":[25],"as":[26],"video":[27,51,68,82,112,130],"annotation.":[28,113],"As":[29],"a":[30,96],"significant":[31],"factor":[32],"these":[34],"algorithms,":[35],"however,":[36],"pairwise":[37,57,89,136],"similarity":[38,58,90],"metric":[39],"has":[40],"not":[41,85],"fully":[43],"investigated.":[44],"On":[45,70],"one":[47],"hand,":[48,73],"for":[49],"general":[50],"annotation":[52],"methods,":[53],"estimation":[55],"between":[59],"two":[60],"relies":[62],"on":[63,140],"spatial":[65,125],"property":[66,128],"data.":[69],"other":[72],"temporal":[74,127],"property,":[75],"which":[76],"is":[77,84,105,116],"an":[78],"essential":[79],"character":[80],"data,":[83],"embedded":[86],"into":[87,121],"metric.":[91],"Therefore,":[92],"this":[94],"paper,":[95],"novel":[97],"method,":[98],"called":[99],"Joint":[100],"Spatio-Temporal":[101],"Correlation":[102],"Learning":[103],"(JSTCL),":[104],"proposed":[106,148],"to":[107,132],"improve":[108],"accuracy":[110],"This":[114],"method":[115],"characterized":[117],"by":[118],"simultaneously":[119],"taking":[120],"account":[122],"both":[123],"data":[131],"well":[133],"represent":[134],"similarity.":[137],"Experiments":[138],"conducted":[139],"TRECVID":[142],"demonstrate":[143],"efficiency":[145],"method.":[149]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}