{"id":"https://openalex.org/W1975867090","doi":"https://doi.org/10.1145/2072298.2072015","title":"Compositional object pattern","display_name":"Compositional object pattern","publication_year":2011,"publication_date":"2011-11-28","ids":{"openalex":"https://openalex.org/W1975867090","doi":"https://doi.org/10.1145/2072298.2072015","mag":"1975867090"},"language":"en","primary_location":{"id":"doi:10.1145/2072298.2072015","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2072298.2072015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM international conference on Multimedia","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/A5073387764","display_name":"Shen-Fu Tsai","orcid":"https://orcid.org/0000-0003-1328-8149"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shen-Fu Tsai","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL, USA","University of Illinois at Urbana/Champaign, Urbana, IL, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois at Urbana/Champaign, Urbana, IL, USA#TAB#","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103187717","display_name":"Liangliang Cao","orcid":"https://orcid.org/0000-0003-0900-1512"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liangliang Cao","raw_affiliation_strings":["IBM Watson Research Center, Yorktown Heights, IL, USA","IBM Watson Research Center, Yorktown Heights, IL, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"IBM Watson Research Center, Yorktown Heights, IL, USA","institution_ids":["https://openalex.org/I1341412227"]},{"raw_affiliation_string":"IBM Watson Research Center, Yorktown Heights, IL, USA#TAB#","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104073298","display_name":"Feng Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Feng Tang","raw_affiliation_strings":["Hewlett-Packard Labs, Palo Alto, IL, USA"],"affiliations":[{"raw_affiliation_string":"Hewlett-Packard Labs, Palo Alto, IL, USA","institution_ids":["https://openalex.org/I1324840837"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101457342","display_name":"Thomas S. Huang","orcid":"https://orcid.org/0000-0001-8474-5859"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas S. Huang","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL, USA","University of Illinois at Urbana/Champaign, Urbana, IL, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois at Urbana/Champaign, Urbana, IL, USA#TAB#","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073387764"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":1.2879,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.82196802,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1361","last_page":"1364"},"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":0.9994000196456909,"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/T11439","display_name":"Video Analysis and Summarization","score":0.994700014591217,"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/object","display_name":"Object (grammar)","score":0.7430115938186646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7238746285438538},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6860823631286621},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6538854837417603},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6238742470741272},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6084849834442139},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5862196087837219},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5628716349601746},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4666210412979126},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42436912655830383},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3834066092967987},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36862099170684814}],"concepts":[{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7430115938186646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7238746285438538},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6860823631286621},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6538854837417603},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6238742470741272},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6084849834442139},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5862196087837219},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5628716349601746},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4666210412979126},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42436912655830383},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3834066092967987},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36862099170684814},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2072298.2072015","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2072298.2072015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM international conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1968969471","https://openalex.org/W1975001816","https://openalex.org/W2063222491","https://openalex.org/W2083978868","https://openalex.org/W2117169652","https://openalex.org/W2121981382","https://openalex.org/W2137569015","https://openalex.org/W2145072179","https://openalex.org/W2150593711","https://openalex.org/W2153635508","https://openalex.org/W2154553070","https://openalex.org/W2161969291","https://openalex.org/W2162034534","https://openalex.org/W2164982728","https://openalex.org/W2169177311","https://openalex.org/W2170238270","https://openalex.org/W2602024037","https://openalex.org/W3120421331","https://openalex.org/W4300101671","https://openalex.org/W6684963293"],"related_works":["https://openalex.org/W2404514746","https://openalex.org/W2073139667","https://openalex.org/W1652783584","https://openalex.org/W1971623867","https://openalex.org/W2546942002","https://openalex.org/W2079759540","https://openalex.org/W2092957489","https://openalex.org/W1982770690","https://openalex.org/W3013138473","https://openalex.org/W2133574959"],"abstract_inverted_index":{"In":[0,14],"this":[1,59],"paper,":[2],"we":[3,61,91],"study":[4],"the":[5,40,86,97,115,145],"problem":[6,42],"of":[7,43,117,138],"recognizing":[8,139],"events":[9],"in":[10,26,89,96],"personal":[11],"photo":[12,16,20,34],"albums.":[13],"consumer":[15],"collections":[17],"or":[18],"online":[19],"communities,":[21],"photos":[22],"are":[23],"usually":[24],"organized":[25],"albums":[27,35,48],"according":[28],"to":[29],"their":[30,105],"events.":[31],"However,":[32],"interpreting":[33],"is":[36,111,136],"more":[37,52],"complicated":[38],"than":[39,54,79,144],"traditional":[41],"understanding":[44],"single":[45,55],"photos,":[46],"because":[47],"generally":[49],"exhibit":[50],"much":[51,76],"varieties":[53],"image.":[56],"To":[57,84],"solve":[58],"challenge,":[60],"propose":[62],"a":[63],"novel":[64],"representation,":[65],"called":[66,123],"Compositional":[67,124],"Object":[68,125],"Pattern,":[69],"which":[70],"characterizes":[71],"object":[72,94],"level":[73,81],"pattern":[74],"conveying":[75],"richer":[77],"semantic":[78],"low":[80],"visual":[82],"feature.":[83],"interpret":[85],"rich":[87],"semantics":[88],"albums,":[90],"mine":[92],"frequent":[93,119],"patterns":[95],"training":[98],"set,":[99],"and":[100,120],"then":[101,112],"rank":[102],"them":[103],"by":[104],"discriminating":[106],"power.":[107],"The":[108],"album":[109],"feature":[110],"set":[113],"as":[114],"frequencies":[116],"these":[118],"discriminative":[121],"patterns,":[122],"Pattern":[126],"Frequency(COPF).":[127],"We":[128],"show":[129],"with":[130,141],"experimental":[131],"result":[132],"that":[133],"our":[134],"algorithm":[135],"capable":[137],"holidays":[140],"accuracy":[142],"higher":[143],"baseline":[146],"method.":[147]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
