{"id":"https://openalex.org/W2043165860","doi":"https://doi.org/10.1142/s0219467801000293","title":"VIDEO CONTENT REPRESENTATION FOR SHOT RETRIEVAL AND SCENE EXTRACTION","display_name":"VIDEO CONTENT REPRESENTATION FOR SHOT RETRIEVAL AND SCENE EXTRACTION","publication_year":2001,"publication_date":"2001-07-01","ids":{"openalex":"https://openalex.org/W2043165860","doi":"https://doi.org/10.1142/s0219467801000293","mag":"2043165860"},"language":"en","primary_location":{"id":"doi:10.1142/s0219467801000293","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467801000293","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-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/A5101677729","display_name":"Tong Lin","orcid":"https://orcid.org/0000-0002-8112-0439"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"TONG LIN","raw_affiliation_strings":["National Laboratory of Machine Perception, Peking University, Beijing 100871, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Machine Perception, Peking University, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":null,"display_name":"HONG-JIANG ZHANG","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"HONG-JIANG ZHANG","raw_affiliation_strings":["Microsoft Research, China, 49 Zhichun Road, Beijing 100080, China","Microsoft Research China, 49 Zhichun Road, Beijing 100080, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, China, 49 Zhichun Road, Beijing 100080, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft Research China, 49 Zhichun Road, Beijing 100080, China#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102128858","display_name":"Qingyun Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"QING-YUN SHI","raw_affiliation_strings":["National Laboratory of Machine Perception, Peking University, Beijing 100871, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Machine Perception, Peking University, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7154,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.76421843,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"01","issue":"03","first_page":"507","last_page":"526"},"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/T11674","display_name":"Sports Analytics and Performance","score":0.9696999788284302,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9598000049591064,"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/shot","display_name":"Shot (pellet)","score":0.8245820999145508},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7342724800109863},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.673850953578949},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6207194924354553},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6086856126785278},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5713154077529907},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.5524807572364807},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.539616584777832},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5299469232559204},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4779551029205322},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4705301523208618},{"id":"https://openalex.org/keywords/video-content-analysis","display_name":"Video content analysis","score":0.463418185710907},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.45764821767807007},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44129982590675354},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4328007102012634},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4135745167732239},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.3731938302516937},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3308262228965759},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25418415665626526},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21986016631126404},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.203678160905838},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08045026659965515}],"concepts":[{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.8245820999145508},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7342724800109863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.673850953578949},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6207194924354553},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6086856126785278},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5713154077529907},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.5524807572364807},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.539616584777832},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5299469232559204},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4779551029205322},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4705301523208618},{"id":"https://openalex.org/C2778598663","wikidata":"https://www.wikidata.org/wiki/Q1407599","display_name":"Video content analysis","level":4,"score":0.463418185710907},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.45764821767807007},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44129982590675354},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4328007102012634},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4135745167732239},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.3731938302516937},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3308262228965759},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25418415665626526},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21986016631126404},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.203678160905838},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08045026659965515},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1142/s0219467801000293","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467801000293","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.16.2278","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.16.2278","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.microsoft.com/china/research/group/mcomputing/IJIG_LinTong-4th.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.93.4189","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.93.4189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cis.pku.edu.cn/faculty/vision/lintong/research/papers/IJIG01-lin.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":14,"referenced_works":["https://openalex.org/W1542769445","https://openalex.org/W1935851045","https://openalex.org/W1940024881","https://openalex.org/W1964653873","https://openalex.org/W2050719283","https://openalex.org/W2085425470","https://openalex.org/W2091755386","https://openalex.org/W2097009698","https://openalex.org/W2098498971","https://openalex.org/W2103105400","https://openalex.org/W2114762973","https://openalex.org/W2126782237","https://openalex.org/W2149022377","https://openalex.org/W2159548580"],"related_works":["https://openalex.org/W1572370569","https://openalex.org/W3119811191","https://openalex.org/W2004030635","https://openalex.org/W4381744813","https://openalex.org/W2145721853","https://openalex.org/W4238243837","https://openalex.org/W2279968534","https://openalex.org/W2997522288","https://openalex.org/W2031656597","https://openalex.org/W3156724800"],"abstract_inverted_index":{"In":[0],"this":[1,97],"paper,":[2],"we":[3],"present":[4],"a":[5,68],"novel":[6],"scheme":[7],"on":[8,42,119,136,150],"video":[9,122,129],"content":[10,43,48,66],"representation":[11,20],"by":[12,105,157],"exploring":[13],"the":[14,107,133,137,158],"spatio-temporal":[15],"information.":[16],"A":[17],"pseudo-object-based":[18],"shot":[19,28,69,82,94,98,115,130],"containing":[21],"more":[22],"semantics":[23],"is":[24,34,85],"proposed":[25,35,126,159],"to":[26,36,93],"measure":[27,84,90],"similarity":[29,83,89],"and":[30,56,81,109,141,148],"force":[31,111],"competition":[32],"approach":[33,127],"group":[37],"shots":[38],"into":[39,73],"scene":[40,100,160],"based":[41],"coherences":[44],"between":[45],"shots.":[46],"Two":[47],"descriptors,":[49],"color":[50],"objects:":[51],"Dominant":[52],"Color":[53],"Histograms":[54,59],"(DCH)":[55],"Spatial":[57],"Structure":[58],"(SSH),":[60],"are":[61,77],"introduced.":[62],"To":[63],"represent":[64],"temporal":[65],"variations,":[67],"can":[70,102],"be":[71,103],"segmented":[72],"several":[74],"subshots":[75],"that":[76,91,124],"of":[78],"coherent":[79],"content,":[80],"formulated":[86],"as":[87],"subshot":[88],"serves":[92],"retrieval.":[95],"With":[96],"representation,":[99],"structure":[101],"extracted":[104],"analyzing":[106],"splitting":[108],"merging":[110],"competitions":[112],"at":[113],"each":[114],"boundary.":[116],"Experimental":[117],"results":[118,156],"real-world":[120],"sports":[121],"prove":[123],"our":[125],"for":[128],"retrievals":[131],"achieve":[132],"best":[134],"performance":[135],"average":[138,142],"recall":[139],"(AR)":[140],"normalized":[143],"modified":[144],"retrieval":[145],"rank":[146],"(ANMRR),":[147],"Experiment":[149],"MPEG-7":[151],"test":[152],"videos":[153],"achieves":[154],"promising":[155],"extraction":[161],"algorithm.":[162]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
