{"id":"https://openalex.org/W2176302750","doi":"https://doi.org/10.1109/acpr.2015.7486538","title":"Fine-grain annotation of cricket videos","display_name":"Fine-grain annotation of cricket videos","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2176302750","doi":"https://doi.org/10.1109/acpr.2015.7486538","mag":"2176302750"},"language":"en","primary_location":{"id":"doi:10.1109/acpr.2015.7486538","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2015.7486538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1511.07607","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103065972","display_name":"Rahul Sharma","orcid":"https://orcid.org/0000-0003-1697-3897"},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]},{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Rahul Anand Sharma","raw_affiliation_strings":["CVIT, IIIT-Hyderabad, Hyderabad, India","International Institute of Information Technology, Hyderabad;"],"affiliations":[{"raw_affiliation_string":"CVIT, IIIT-Hyderabad, Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]},{"raw_affiliation_string":"International Institute of Information Technology, Hyderabad;","institution_ids":["https://openalex.org/I64189192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051419342","display_name":"Pramod Sankar K","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132870","display_name":"Xerox (United States)","ror":"https://ror.org/03jwzwq24","country_code":"US","type":"company","lineage":["https://openalex.org/I4210132870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K. Pramod Sankar","raw_affiliation_strings":["Xerox Research Center India, Bengaluru, India","Xerox"],"affiliations":[{"raw_affiliation_string":"Xerox Research Center India, Bengaluru, India","institution_ids":[]},{"raw_affiliation_string":"Xerox","institution_ids":["https://openalex.org/I4210132870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053112307","display_name":"C. V. Jawahar","orcid":"https://orcid.org/0000-0001-6767-7057"},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]},{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"C. V. Jawahar","raw_affiliation_strings":["CVIT, IIIT-Hyderabad, Hyderabad, India","International Institute of Information Technology, Hyderabad;"],"affiliations":[{"raw_affiliation_string":"CVIT, IIIT-Hyderabad, Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]},{"raw_affiliation_string":"International Institute of Information Technology, Hyderabad;","institution_ids":["https://openalex.org/I64189192"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103065972"],"corresponding_institution_ids":["https://openalex.org/I64189192","https://openalex.org/I65181880"],"apc_list":null,"apc_paid":null,"fwci":0.20873662,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.60333232,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"421","last_page":"425"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9983999729156494,"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/T11309","display_name":"Music and Audio Processing","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7957262992858887},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.7554975152015686},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6711850166320801},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6323025226593018},{"id":"https://openalex.org/keywords/cricket","display_name":"Cricket","score":0.5771984457969666},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5658840537071228},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5351347327232361},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47227251529693604},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.46945852041244507},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44140446186065674},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37451231479644775},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.18418502807617188}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7957262992858887},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.7554975152015686},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6711850166320801},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6323025226593018},{"id":"https://openalex.org/C2781313515","wikidata":"https://www.wikidata.org/wiki/Q98957255","display_name":"Cricket","level":2,"score":0.5771984457969666},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5658840537071228},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5351347327232361},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47227251529693604},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.46945852041244507},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44140446186065674},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37451231479644775},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.18418502807617188},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/acpr.2015.7486538","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2015.7486538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1511.07607","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1511.07607","pdf_url":"https://arxiv.org/pdf/1511.07607","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2176302750","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1511.07607","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1511.07607","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1511.07607","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1511.07607","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1511.07607","pdf_url":"https://arxiv.org/pdf/1511.07607","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2176302750.pdf","grobid_xml":"https://content.openalex.org/works/W2176302750.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1543827689","https://openalex.org/W1821279454","https://openalex.org/W1991412158","https://openalex.org/W2011646888","https://openalex.org/W2027838507","https://openalex.org/W2089515781","https://openalex.org/W2111908903","https://openalex.org/W2129347553","https://openalex.org/W2131846894","https://openalex.org/W2139117248","https://openalex.org/W2142194269","https://openalex.org/W2143800062","https://openalex.org/W2147880316","https://openalex.org/W2168996682","https://openalex.org/W2951805548","https://openalex.org/W6639809013","https://openalex.org/W6682082992"],"related_works":["https://openalex.org/W2963719709","https://openalex.org/W2039740464","https://openalex.org/W3084496147","https://openalex.org/W1999227200","https://openalex.org/W2608481119","https://openalex.org/W3023712104","https://openalex.org/W2942642798","https://openalex.org/W2793476612","https://openalex.org/W3191226932","https://openalex.org/W2054337388","https://openalex.org/W2926312400","https://openalex.org/W2579317665","https://openalex.org/W2905354574","https://openalex.org/W2524009672","https://openalex.org/W2163674792","https://openalex.org/W2272274751","https://openalex.org/W3171721148","https://openalex.org/W2612599221","https://openalex.org/W3172132431","https://openalex.org/W2118881459"],"abstract_inverted_index":{"The":[0,103,122,132],"recognition":[1,15],"of":[2,7,22,33,61,68,73,81,107,135,155,161,173,181],"human":[3],"activities":[4],"is":[5,16,90,138,147],"one":[6],"the":[8,58,66,85,88,96,113,116,130,139,150],"key":[9],"problems":[10],"in":[11,53,115],"video":[12,89],"understanding.":[13],"Action":[14],"challenging":[17],"even":[18],"for":[19],"specific":[20,59,162],"categories":[21],"videos,":[23,63],"such":[24],"as":[25,110,112],"sports,":[26],"that":[27,164,188],"contain":[28],"only":[29,166],"a":[30,54,153,167,178],"small":[31],"set":[32],"actions.":[34,199],"Interestingly,":[35],"sports":[36],"videos":[37],"are":[38,125],"accompanied":[39],"by":[40,94,192],"detailed":[41],"commentaries":[42],"available":[43],"online,":[44],"which":[45,144],"could":[46,189],"be":[47,190],"used":[48,191],"to":[49,129,149,196],"perform":[50],"action":[51],"annotation":[52,72],"weakly-supervised":[55],"setting.":[56],"For":[57],"case":[60],"Cricket":[62],"we":[64,158],"address":[65],"challenge":[67],"temporal":[69,141],"segmentation":[70],"and":[71],"ctions":[74],"with":[75,184],"semantic":[76,145],"descriptions.":[77],"Our":[78],"solution":[79,176],"consists":[80,106],"two":[82],"stages.":[83],"In":[84],"first":[86],"stage,":[87],"segmented":[91],"into":[92,119],"\"scenes\",":[93],"utilizing":[95],"scene":[97],"category":[98],"information":[99,146],"extracted":[100],"from":[101,170],"text-commentary.":[102],"second":[104],"stage":[105],"classifying":[108],"video-shots":[109],"well":[111],"phrases":[114,124],"textual":[117],"description":[118],"various":[120],"categories.":[121],"relevant":[123],"then":[126],"suitably":[127],"mapped":[128],"video-shots.":[131],"novel":[133],"aspect":[134],"this":[136],"work":[137],"fine":[140],"scale":[142],"at":[143],"assigned":[148],"video.":[151,174],"As":[152],"result":[154],"our":[156],"approach,":[157],"enable":[159],"retrieval":[160],"actions":[163],"last":[165],"few":[168],"seconds,":[169],"several":[171],"hours":[172],"This":[175],"yields":[177],"large":[179],"number":[180],"labeled":[182],"exemplars,":[183],"no":[185],"manual":[186],"effort,":[187],"machine":[193],"learning":[194],"algorithms":[195],"learn":[197],"complex":[198]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}
