{"id":"https://openalex.org/W2155134542","doi":"https://doi.org/10.1109/icme.2001.1237820","title":"Structure analysis of sports video using domain models","display_name":"Structure analysis of sports video using domain models","publication_year":2001,"publication_date":"2001-01-01","ids":{"openalex":"https://openalex.org/W2155134542","doi":"https://doi.org/10.1109/icme.2001.1237820","mag":"2155134542"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2001.1237820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2001.1237820","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Multimedia and Expo, 2001. ICME 2001.","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/A5074335599","display_name":"Di Zhong","orcid":"https://orcid.org/0000-0001-9645-9112"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Di Zhong","raw_affiliation_strings":["Department of Electrical Engineering, Columbia University, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Columbia University, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037340457","display_name":"Shih\u2010Fu Chang","orcid":"https://orcid.org/0000-0003-1444-1205"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shih-Fu Chang","raw_affiliation_strings":["Department of Electrical Engineering, Columbia University, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Columbia University, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5074335599"],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":24.7398,"has_fulltext":false,"cited_by_count":163,"citation_normalized_percentile":{"value":0.99576477,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"713","last_page":"716"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","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/T11439","display_name":"Video Analysis and Summarization","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/T10812","display_name":"Human Pose and Action Recognition","score":0.9943000078201294,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9930999875068665,"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":0.8365849256515503},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6638317704200745},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6145435571670532},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5591877698898315},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5467702746391296},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48938053846359253},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.4752212166786194},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.43645644187927246},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.4213809072971344},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4040434956550598}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8365849256515503},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6638317704200745},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6145435571670532},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5591877698898315},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5467702746391296},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48938053846359253},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.4752212166786194},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.43645644187927246},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.4213809072971344},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4040434956550598},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icme.2001.1237820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2001.1237820","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Multimedia and Expo, 2001. ICME 2001.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.92.5945","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.92.5945","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ctr.columbia.edu/papers_advent/01/icme01_dzhong.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":7,"referenced_works":["https://openalex.org/W94562283","https://openalex.org/W1934907102","https://openalex.org/W1946240176","https://openalex.org/W2076373480","https://openalex.org/W2088113812","https://openalex.org/W2095010683","https://openalex.org/W6640293164"],"related_works":["https://openalex.org/W4388713123","https://openalex.org/W3194438104","https://openalex.org/W2570592793","https://openalex.org/W2753140600","https://openalex.org/W2354135050","https://openalex.org/W1979017339","https://openalex.org/W1583422155","https://openalex.org/W1649619740","https://openalex.org/W3213252596","https://openalex.org/W1534006406"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"an":[5],"effective":[6],"framework":[7],"for":[8,14],"scene":[9],"detection":[10],"and":[11,19,38,53,85,101],"structure":[12,97],"analysis":[13,56,88],"sports":[15],"videos,":[16],"using":[17,79],"tennis":[18],"baseball":[20],"as":[21,83],"examples.":[22],"Sports":[23],"video":[24],"can":[25],"be":[26],"characterized":[27],"by":[28,66,78],"its":[29],"predictable":[30],"temporal":[31],"syntax,":[32],"recurrent":[33],"events":[34],"with":[35],"consistent":[36],"features,":[37],"a":[39],"fixed":[40],"number":[41],"of":[42],"views.":[43],"Our":[44],"approach":[45],"combines":[46],"domain-specific":[47],"knowledge,":[48],"supervised":[49],"machine":[50],"learning":[51],"techniques,":[52],"automatic":[54],"feature":[55],"at":[57],"multiple":[58],"levels.":[59],"Real":[60],"time":[61],"processing":[62,69],"performance":[63],"is":[64,76],"achieved":[65,77],"utilizing":[67],"compressed-domain":[68,80],"techniques.":[70],"High":[71],"accuracy":[72],"in":[73,89],"view":[74],"recognition":[75],"global":[81],"features":[82],"prefilters":[84],"object-level":[86],"refined":[87],"the":[90],"latter":[91],"verification":[92],"stage.":[93],"Applications":[94],"include":[95],"high-level":[96],"browsing/navigation,":[98],"highlight":[99],"generation,":[100],"mobile":[102]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
