{"id":"https://openalex.org/W2185142735","doi":"https://doi.org/10.1109/mmsp.2015.7340864","title":"Event recognition in personal photo collections using hierarchical model and multiple features","display_name":"Event recognition in personal photo collections using hierarchical model and multiple features","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2185142735","doi":"https://doi.org/10.1109/mmsp.2015.7340864","mag":"2185142735"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2015.7340864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2015.7340864","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP)","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/A5102015112","display_name":"Cong Guo","orcid":"https://orcid.org/0000-0001-8906-0103"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cong Guo","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071510961","display_name":"Xinmei Tian","orcid":"https://orcid.org/0000-0002-5952-8753"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinmei Tian","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102015112"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":1.1046,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.84856454,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"6"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9959999918937683,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8216943740844727},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.7668976783752441},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7397515773773193},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5651229619979858},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4853898286819458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4088515043258667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8216943740844727},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.7668976783752441},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7397515773773193},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5651229619979858},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4853898286819458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4088515043258667},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp.2015.7340864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2015.7340864","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP)","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":23,"referenced_works":["https://openalex.org/W1899185266","https://openalex.org/W1956701811","https://openalex.org/W2005173850","https://openalex.org/W2025508903","https://openalex.org/W2084979067","https://openalex.org/W2101086341","https://openalex.org/W2121981382","https://openalex.org/W2130623086","https://openalex.org/W2134670479","https://openalex.org/W2136853139","https://openalex.org/W2137569015","https://openalex.org/W2147625498","https://openalex.org/W2153635508","https://openalex.org/W2155893237","https://openalex.org/W2163605009","https://openalex.org/W2165935688","https://openalex.org/W2169917630","https://openalex.org/W2963996492","https://openalex.org/W3120421331","https://openalex.org/W6677865758","https://openalex.org/W6679792166","https://openalex.org/W6680303927","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4311804456","https://openalex.org/W1987484445","https://openalex.org/W2623658258","https://openalex.org/W2143413548","https://openalex.org/W1969219540","https://openalex.org/W2370459448","https://openalex.org/W2105067402"],"abstract_inverted_index":{"With":[0],"the":[1,144,148],"proliferation":[2],"of":[3,21,27,58,147,170],"digital":[4],"cameras":[5],"and":[6,30,67,91,125,135,174],"mobile":[7],"devices,":[8],"people":[9],"are":[10,130],"taking":[11],"many":[12],"more":[13,131],"photos":[14,23,90],"than":[15],"ever":[16],"before.":[17],"The":[18,56],"explosive":[19],"growth":[20],"personal":[22,101,116,171],"leads":[24],"to":[25,39,53,65,112,133],"problems":[26],"photo":[28,42,47,76,102,117,172],"organization":[29],"management.":[31],"There":[32],"is":[33,49],"a":[34,93,109,155,166],"growing":[35],"need":[36],"for":[37],"tools":[38],"automatically":[40],"manage":[41],"collections.":[43,103],"Recognizing":[44],"events":[45,87,114,129,138,149],"in":[46,100,115],"collections":[48,118],"one":[50],"efficient":[51],"way":[52],"organize":[54],"photos.":[55],"use":[57],"textual":[59],"event":[60,70,98,141,157],"labels":[61],"can":[62,150],"allow":[63],"us":[64],"categorize":[66],"locate":[68],"an":[69,74],"without":[71],"browsing":[72],"through":[73],"entire":[75],"collection.":[77],"Most":[78],"existing":[79],"research":[80],"on":[81,85,165],"this":[82,105],"topic":[83],"focuses":[84],"recognizing":[86],"from":[88],"single":[89],"only":[92],"few":[94],"studies":[95],"have":[96],"examined":[97],"recognition":[99],"In":[104],"paper,":[106],"we":[107],"propose":[108],"hierarchical":[110,163],"model":[111,164,176],"recognize":[113],"using":[119],"multiple":[120],"features,":[121],"including":[122],"time,":[123],"objects,":[124],"scenes.":[126],"Since":[127],"some":[128],"difficult":[132],"identify":[134],"categorize,":[136],"ambiguous":[137],"require":[139],"fine":[140],"classifiers,":[142],"while":[143],"coarse":[145,156],"categories":[146],"be":[151],"sufficiently":[152],"organized":[153],"with":[154],"classifier.":[158],"We":[159],"evaluate":[160],"our":[161,175],"coarse-to-fine":[162],"real-world":[167],"dataset":[168],"consisting":[169],"collections,":[173],"achieves":[177],"promising":[178],"results.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}