{"id":"https://openalex.org/W2101039060","doi":"https://doi.org/10.3233/978-1-61499-098-7-600","title":"Improving Video Activity Recognition using Object Recognition and Text Mining","display_name":"Improving Video Activity Recognition using Object Recognition and Text Mining","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W2101039060","doi":"https://doi.org/10.3233/978-1-61499-098-7-600","mag":"2101039060"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-098-7-600","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-61499-098-7-600","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/978-1-61499-098-7-600","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045123003","display_name":"Tanvi S. Motwani","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Motwani Tanvi S.","raw_affiliation_strings":["Department of Computer Science, The University of Texas at Austin, Austin, TX#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Texas at Austin, Austin, TX#TAB#","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008715111","display_name":"Raymond J. Mooney","orcid":"https://orcid.org/0000-0002-4504-0490"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mooney Raymond J.","raw_affiliation_strings":["Department of Computer Science, The University of Texas at Austin, Austin, TX#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Texas at Austin, Austin, TX#TAB#","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":5.0669,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.97217344,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9994999766349792,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9994999766349792,"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":0.9983000159263611,"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":0.9933000206947327,"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":0.6527177691459656},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5056581497192383},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4835752844810486},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.43728768825531006},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.42316725850105286}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6527177691459656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5056581497192383},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4835752844810486},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.43728768825531006},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.42316725850105286}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3233/978-1-61499-098-7-600","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-61499-098-7-600","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.259.192","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.259.192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.303.6878","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.303.6878","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.374.2384","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.374.2384","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.utexas.edu/users/ai-lab/pubs/motwani.ecai12.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.640.6992","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.640.6992","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3233/978-1-61499-098-7-600","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-61499-098-7-600","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1508977358","https://openalex.org/W1530669363","https://openalex.org/W1532325895","https://openalex.org/W1570448133","https://openalex.org/W1618905105","https://openalex.org/W1647729745","https://openalex.org/W1872883209","https://openalex.org/W1996430422","https://openalex.org/W2001302881","https://openalex.org/W2020163092","https://openalex.org/W2031489346","https://openalex.org/W2034328688","https://openalex.org/W2098517267","https://openalex.org/W2106833577","https://openalex.org/W2108598243","https://openalex.org/W2111103983","https://openalex.org/W2117805756","https://openalex.org/W2126661535","https://openalex.org/W2129666410","https://openalex.org/W2135523944","https://openalex.org/W2136480620","https://openalex.org/W2138105460","https://openalex.org/W2140785063","https://openalex.org/W2142194269","https://openalex.org/W2155983176","https://openalex.org/W2163292664","https://openalex.org/W2164290393","https://openalex.org/W2168356304","https://openalex.org/W2168996682","https://openalex.org/W2534712034","https://openalex.org/W2613678836","https://openalex.org/W2953332543","https://openalex.org/W2966207845","https://openalex.org/W3141200356"],"related_works":["https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W2114275278","https://openalex.org/W2124566234","https://openalex.org/W1489511283","https://openalex.org/W2974914859","https://openalex.org/W2026565050","https://openalex.org/W2110244802","https://openalex.org/W2163728705","https://openalex.org/W949345935"],"abstract_inverted_index":{"Recognizing":[0],"activities":[1,47],"in":[2],"real-world":[3],"videos":[4,41,115],"is":[5,57,72,86],"a":[6,12,50,111],"challenging":[7],"AI":[8],"problem.":[9],"We":[10,35],"present":[11],"novel":[13],"combination":[14],"of":[15,46,93,113,119],"standard":[16],"activity":[17,27,63,101,107],"classification,":[18],"object":[19,96],"recognition,":[20],"and":[21,48,81,98],"text":[22,70],"mining":[23,71],"to":[24,39,42,60,74,103],"learn":[25,75],"effective":[26],"recognizers":[28],"without":[29],"ever":[30],"explicitly":[31],"labeling":[32],"training":[33,52],"videos.":[34],"cluster":[36],"verbs":[37,80],"used":[38,59,88],"describe":[40],"automatically":[43],"discover":[44],"classes":[45],"produce":[49,104],"labeled":[51,55],"set.":[53],"This":[54,84],"data":[56],"then":[58,87],"train":[61],"an":[62,94,105],"classifier":[64,102],"based":[65],"on":[66,110],"spatio-temporal":[67],"features.":[68],"Next,":[69],"employed":[73],"the":[76,91,99,117,120],"correlations":[77],"between":[78],"these":[79],"related":[82],"objects.":[83],"knowledge":[85],"together":[89],"with":[90],"outputs":[92],"off-the-shelf":[95],"recognizer":[97],"trained":[100],"improved":[106],"recognizer.":[108],"Experiments":[109],"corpus":[112],"YouTube":[114],"demonstrate":[116],"effectiveness":[118],"overall":[121],"approach.":[122]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":6}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
