{"id":"https://openalex.org/W2030272942","doi":"https://doi.org/10.1109/icip.2010.5652300","title":"Video categorization using object of interest detection","display_name":"Video categorization using object of interest detection","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2030272942","doi":"https://doi.org/10.1109/icip.2010.5652300","mag":"2030272942"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5652300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5652300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","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/A5067691489","display_name":"Adarsh Kowdle","orcid":"https://orcid.org/0000-0002-4428-889X"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adarsh Kowdle","raw_affiliation_strings":["Cornell University, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054825387","display_name":"Kuo-Wei Chang","orcid":"https://orcid.org/0000-0002-5987-6862"},"institutions":[{"id":"https://openalex.org/I92172085","display_name":"Chunghwa Telecom (Taiwan)","ror":"https://ror.org/04f786589","country_code":"TW","type":"company","lineage":["https://openalex.org/I92172085"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kuo-Wei Chang","raw_affiliation_strings":["Chunghwa Telecom Company Limited, Taiwan","Chunghwa Telecom Co., Ltd, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chunghwa Telecom Company Limited, Taiwan","institution_ids":["https://openalex.org/I92172085"]},{"raw_affiliation_string":"Chunghwa Telecom Co., Ltd, Taiwan","institution_ids":["https://openalex.org/I92172085"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000454484","display_name":"Tsuhan Chen","orcid":"https://orcid.org/0000-0003-3951-7931"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tsuhan Chen","raw_affiliation_strings":["Cornell University, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.13629409,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"4","issue":null,"first_page":"4569","last_page":"4572"},"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":1.0,"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":1.0,"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":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.996999979019165,"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/categorization","display_name":"Categorization","score":0.8396878838539124},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7767995595932007},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5956680178642273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5617130994796753},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5416233539581299},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.48661622405052185},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4677788019180298},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.46491295099258423},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4544350504875183},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4240458011627197},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35642480850219727},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2999223470687866},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12537279725074768}],"concepts":[{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.8396878838539124},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7767995595932007},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5956680178642273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5617130994796753},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5416233539581299},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.48661622405052185},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4677788019180298},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.46491295099258423},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4544350504875183},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4240458011627197},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35642480850219727},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2999223470687866},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12537279725074768}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icip.2010.5652300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5652300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/146162","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/146162","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus","raw_type":"Conference Paper"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.675.4693","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.675.4693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://chenlab.ece.cornell.edu/people/adarsh/publications/icip_2010_video_categ_OOI.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2020247730","https://openalex.org/W2083102193","https://openalex.org/W2110142955","https://openalex.org/W2110534101","https://openalex.org/W2120839833","https://openalex.org/W2124386111","https://openalex.org/W2124404372","https://openalex.org/W2140169211","https://openalex.org/W2142526407","https://openalex.org/W2144719056","https://openalex.org/W2148293470","https://openalex.org/W2155481473","https://openalex.org/W2158911526","https://openalex.org/W2166742463","https://openalex.org/W2169407569","https://openalex.org/W6681096189","https://openalex.org/W6681396514"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W2785057145","https://openalex.org/W2965594636","https://openalex.org/W2066739829","https://openalex.org/W2943438544","https://openalex.org/W2944509217","https://openalex.org/W2798006533","https://openalex.org/W2346086351"],"abstract_inverted_index":{"Object":[0],"of":[1,35,72],"Interest":[2],"(OOI)":[3],"detection":[4],"has":[5],"been":[6],"widely":[7],"used":[8],"in":[9,13,17],"many":[10],"recent":[11],"works":[12],"video":[14,18,21,30,76],"analysis,":[15],"especially":[16],"similarity":[19],"and":[20,43,59,68],"retrieval.":[22],"In":[23],"this":[24],"paper,":[25],"we":[26],"describe":[27],"a":[28],"generic":[29],"classification":[31,77],"algorithm":[32],"using":[33],"object":[34,71],"interest":[36,73],"detection.":[37],"We":[38,61],"use":[39],"online":[40],"user-submitted":[41],"videos":[42,48],"aim":[44],"to":[45],"categorize":[46],"the":[47,70,75],"into":[49],"six":[50],"broad":[51],"categories":[52],"hot":[53],"star,":[54],"news,":[55],"anime,":[56],"pets,":[57],"sports":[58],"commercials.":[60],"show":[62],"through":[63],"our":[64],"experiments":[65],"that,":[66],"detecting":[67],"describing":[69],"improves":[74],"accuracy":[78],"by":[79],"about":[80],"10":[81],"percentage":[82],"points.":[83]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}