{"id":"https://openalex.org/W2898447949","doi":"https://doi.org/10.1142/s0218001419400019","title":"Video Highlight Detection via Region-Based Deep Ranking Model","display_name":"Video Highlight Detection via Region-Based Deep Ranking Model","publication_year":2018,"publication_date":"2018-10-26","ids":{"openalex":"https://openalex.org/W2898447949","doi":"https://doi.org/10.1142/s0218001419400019","mag":"2898447949"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001419400019","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001419400019","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"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 Pattern Recognition and Artificial Intelligence","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/A5031056278","display_name":"Yifan Jiao","orcid":"https://orcid.org/0000-0002-8923-6997"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yifan Jiao","raw_affiliation_strings":["Jiangsu University of Science and Technology, Zhenjiang 212003, P. R. China","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, P. R. China"],"affiliations":[{"raw_affiliation_string":"Jiangsu University of Science and Technology, Zhenjiang 212003, P. R. China","institution_ids":["https://openalex.org/I4210096899"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, P. R. China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100648981","display_name":"Tianzhu Zhang","orcid":"https://orcid.org/0000-0003-1856-9564"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianzhu Zhang","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, P. R. China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, P. R. China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083070890","display_name":"Shucheng Huang","orcid":"https://orcid.org/0000-0002-5435-5961"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shucheng Huang","raw_affiliation_strings":["Jiangsu University of Science and Technology, Zhenjiang 212003, P. R. China"],"affiliations":[{"raw_affiliation_string":"Jiangsu University of Science and Technology, Zhenjiang 212003, P. R. China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100395500","display_name":"Bin Liu","orcid":"https://orcid.org/0000-0002-5023-7167"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bin Liu","raw_affiliation_strings":["Moshanghua Tech Company, Ltd., Beijing 100030, P. R. China"],"affiliations":[{"raw_affiliation_string":"Moshanghua Tech Company, Ltd., Beijing 100030, P. R. China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022636178","display_name":"Changsheng Xu","orcid":"https://orcid.org/0000-0001-8343-9665"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changsheng Xu","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, P. R. China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, P. R. China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5031056278"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210096899","https://openalex.org/I4210112150"],"apc_list":null,"apc_paid":null,"fwci":0.3134,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.62824634,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"33","issue":"07","first_page":"1940001","last_page":"1940001"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994000196456909,"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":0.9962000250816345,"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":0.842694103717804},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7233056426048279},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6770552396774292},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6257407665252686},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5737266540527344},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.5584525465965271},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48973560333251953},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.48346075415611267},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4593193531036377},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.41907089948654175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.842694103717804},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7233056426048279},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6770552396774292},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6257407665252686},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5737266540527344},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.5584525465965271},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48973560333251953},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.48346075415611267},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4593193531036377},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.41907089948654175},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001419400019","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001419400019","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"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 Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W329267344","https://openalex.org/W1962739028","https://openalex.org/W1977709942","https://openalex.org/W1978530472","https://openalex.org/W2037300858","https://openalex.org/W2047809566","https://openalex.org/W2119738097","https://openalex.org/W2121746860","https://openalex.org/W2134577448","https://openalex.org/W2143800062","https://openalex.org/W2144577430","https://openalex.org/W2239107200","https://openalex.org/W2467570466","https://openalex.org/W2579238278","https://openalex.org/W2618530766"],"related_works":["https://openalex.org/W2357365693","https://openalex.org/W2541791370","https://openalex.org/W2035976912","https://openalex.org/W1550912305","https://openalex.org/W2032041146","https://openalex.org/W2141294180","https://openalex.org/W1489399123","https://openalex.org/W2408846072","https://openalex.org/W3094187672","https://openalex.org/W2079531124"],"abstract_inverted_index":{"The":[0,134,161],"video":[1,31,100,123,152],"highlight":[2,24,159],"detection":[3,25],"task":[4],"is":[5,73],"to":[6,156,177,189],"localize":[7,94],"key":[8,96,144],"elements":[9,97],"(moments":[10],"of":[11,21,40,55,61,75,121,150,193],"user\u2019s":[12],"major":[13],"or":[14,66],"special":[15],"interest)":[16],"in":[17,77,98,117,185],"a":[18,34,87,99],"video.":[19],"Most":[20],"the":[22,30,38,59,62,78,95,107,118,122,151,158,186,191,194,200,207],"existing":[23],"approaches":[26],"extract":[27],"features":[28,42,149],"from":[29],"segment":[32,153],"as":[33,143],"whole":[35],"without":[36,64,101],"considering":[37],"difference":[39],"local":[41,115],"spatially.":[43],"In":[44],"spatial":[45,119],"extent,":[46],"not":[47],"all":[48,128],"regions":[49,116,135],"are":[50,154],"worth":[51],"watching":[52],"because":[53],"some":[54],"them":[56],"only":[57],"contain":[58],"background":[60],"environment":[63],"human":[65],"other":[67],"moving":[68],"objects,":[69],"especially":[70],"when":[71],"there":[72],"lots":[74],"clutter":[76],"background.":[79],"To":[80],"deal":[81],"with":[82,131,136],"this":[83],"issue,":[84],"we":[85],"propose":[86],"novel":[88],"region-based":[89],"model":[90,109],"which":[91,175],"can":[92,165],"automatically":[93],"any":[102],"extra":[103],"supervised":[104],"annotations.":[105],"Specifically,":[106],"proposed":[108,162,208],"produces":[110],"position-sensitive":[111,163],"score":[112],"maps":[113],"for":[114],"dimension":[120],"segment,":[124],"and":[125,202],"then":[126],"aggregates":[127],"position-wise":[129],"scores":[130],"position-pooling":[132],"operation.":[133],"higher":[137],"response":[138],"values":[139],"will":[140],"be":[141,166],"extracted":[142],"elements.":[145],"Thus":[146],"more":[147],"effective":[148],"obtained":[155],"predict":[157],"score.":[160],"scheme":[164],"easily":[167],"integrated":[168],"into":[169],"an":[170],"end-to-end":[171],"fully":[172],"convolutional":[173],"network":[174],"aims":[176],"update":[178],"parameters":[179],"via":[180],"stochastic":[181],"gradient":[182],"descent":[183],"method":[184],"backward":[187],"propagation":[188],"improve":[190],"robustness":[192],"model.":[195],"Extensive":[196],"experimental":[197],"results":[198],"on":[199],"YouTube":[201],"SumMe":[203],"datasets":[204],"demonstrate":[205],"that":[206],"approach":[209],"achieves":[210],"significant":[211],"improvement":[212],"over":[213],"state-of-the-art":[214],"methods.":[215]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}