{"id":"https://openalex.org/W2164982728","doi":"https://doi.org/10.1109/icme.2008.4607434","title":"Semantic event detection for consumer photo and video collections","display_name":"Semantic event detection for consumer photo and video collections","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2164982728","doi":"https://doi.org/10.1109/icme.2008.4607434","mag":"2164982728"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2008.4607434","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2008.4607434","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Multimedia and Expo","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/A5002942261","display_name":"Wei Jiang","orcid":"https://orcid.org/0000-0002-9240-5851"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Jiang","raw_affiliation_strings":["Columbia University, New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051767562","display_name":"Alexander C. Loui","orcid":"https://orcid.org/0000-0002-7427-1503"},"institutions":[{"id":"https://openalex.org/I4210094723","display_name":"Kodak (Japan)","ror":"https://ror.org/00tee0349","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210094723","https://openalex.org/I4210159451"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Alexander C. Loui","raw_affiliation_strings":["Eastman Kodak (Japan) Limited, Rochester, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eastman Kodak (Japan) Limited, Rochester, NY, USA","institution_ids":["https://openalex.org/I4210094723"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.84,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.91749748,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"313","last_page":"316"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","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/T11439","display_name":"Video Analysis and Summarization","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/computer-science","display_name":"Computer science","score":0.827056884765625},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6946972012519836},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6457203030586243},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.5961831212043762},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.549599289894104},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5405915975570679},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.5015177726745605},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4949604868888855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4548124372959137},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.436974436044693},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3374881446361542},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33671116828918457},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2702217698097229},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.08687424659729004}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.827056884765625},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6946972012519836},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6457203030586243},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.5961831212043762},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.549599289894104},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5405915975570679},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.5015177726745605},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4949604868888855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4548124372959137},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.436974436044693},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3374881446361542},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33671116828918457},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2702217698097229},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.08687424659729004},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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":2,"locations":[{"id":"doi:10.1109/icme.2008.4607434","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2008.4607434","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.381.384","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.381.384","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ee.columbia.edu/~wjiang/references/jiangicme08.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2077072595","https://openalex.org/W2129193626","https://openalex.org/W2131846894","https://openalex.org/W2143668817","https://openalex.org/W2149925168","https://openalex.org/W2153605240","https://openalex.org/W2162661274","https://openalex.org/W2165874743","https://openalex.org/W6684578312"],"related_works":["https://openalex.org/W1965623300","https://openalex.org/W3134365128","https://openalex.org/W2114797768","https://openalex.org/W2380654781","https://openalex.org/W2541135911","https://openalex.org/W2359259132","https://openalex.org/W2176214140","https://openalex.org/W2516873349","https://openalex.org/W2624542985","https://openalex.org/W4387489691"],"abstract_inverted_index":{"The":[0],"automatic":[1],"detection":[2,30],"of":[3,57,68,81,99,117],"semantic":[4,28,48,105],"events":[5,49],"in":[6,52,88,103],"userspsila":[7],"image":[8],"and":[9,19],"video":[10],"collections":[11],"is":[12],"an":[13,34],"important":[14],"technique":[15],"for":[16],"content":[17],"management":[18],"retrieval.":[20],"In":[21],"this":[22,45],"paper":[23],"we":[24,71,94],"propose":[25],"a":[26,53,109],"novel":[27],"event":[29],"approach":[31],"by":[32,77],"considering":[33],"event-level":[35,91],"bag-of-features":[36],"(BOF)":[37],"representation":[38],"to":[39],"model":[40],"typical":[41],"events.":[42,106],"Based":[43],"on":[44],"BOF":[46],"representation,":[47],"are":[50,65],"detected":[51],"concept":[54,101],"space":[55],"instead":[56],"the":[58,74,79,90,97,115],"original":[59],"low-level":[60],"visual":[61],"feature":[62],"space.":[63],"There":[64],"two":[66],"advantages":[67],"our":[69,118],"approach:":[70],"can":[72,95],"avoid":[73],"sensitivity":[75],"problem":[76],"decreasing":[78],"influence":[80],"difficult":[82],"or":[83,86],"erroneous":[84],"images":[85],"videos":[87],"measuring":[89],"similarity;":[92],"also":[93],"utilize":[96],"power":[98],"higher-level":[100],"scores":[102],"describing":[104],"Experiments":[107],"over":[108],"large":[110],"real":[111],"consumer":[112],"database":[113],"confirm":[114],"effectiveness":[116],"approach.":[119]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
