{"id":"https://openalex.org/W2902212825","doi":"https://doi.org/10.1109/icpr.2018.8546028","title":"Pentuplet Loss for Simultaneous Shots and Critical Points Detection in a Video","display_name":"Pentuplet Loss for Simultaneous Shots and Critical Points Detection in a Video","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2902212825","doi":"https://doi.org/10.1109/icpr.2018.8546028","mag":"2902212825"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8546028","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8546028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","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/A5054069765","display_name":"Nitin Gupta","orcid":"https://orcid.org/0000-0003-0177-6292"},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Nitin Gupta","raw_affiliation_strings":["IBM Research, India"],"affiliations":[{"raw_affiliation_string":"IBM Research, India","institution_ids":["https://openalex.org/I4210103279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050387442","display_name":"Abhinav Jain","orcid":"https://orcid.org/0000-0001-7993-169X"},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Abhinav Jain","raw_affiliation_strings":["IBM Research, India"],"affiliations":[{"raw_affiliation_string":"IBM Research, India","institution_ids":["https://openalex.org/I4210103279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101668162","display_name":"Prerna Agarwal","orcid":"https://orcid.org/0000-0003-4439-0082"},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prerna Agarwal","raw_affiliation_strings":["IBM Research, India"],"affiliations":[{"raw_affiliation_string":"IBM Research, India","institution_ids":["https://openalex.org/I4210103279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054372047","display_name":"Shashank Mujumdar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shashank Mujumdar","raw_affiliation_strings":["IBM Research, India"],"affiliations":[{"raw_affiliation_string":"IBM Research, India","institution_ids":["https://openalex.org/I4210103279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046646390","display_name":"Sameep Mehta","orcid":"https://orcid.org/0000-0002-9599-1526"},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sameep Mehta","raw_affiliation_strings":["IBM Research, India"],"affiliations":[{"raw_affiliation_string":"IBM Research, India","institution_ids":["https://openalex.org/I4210103279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5054069765"],"corresponding_institution_ids":["https://openalex.org/I4210103279"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13969756,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":null,"first_page":"2392","last_page":"2397"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9889000058174133,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9869999885559082,"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/shot","display_name":"Shot (pellet)","score":0.8395400643348694},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7858444452285767},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7286093235015869},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7017455697059631},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6962534785270691},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6687862277030945},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6008366942405701},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5630028247833252},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5603005886077881},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4400269687175751},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.43306151032447815},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11063018441200256}],"concepts":[{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.8395400643348694},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7858444452285767},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7286093235015869},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7017455697059631},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6962534785270691},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6687862277030945},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6008366942405701},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5630028247833252},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5603005886077881},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4400269687175751},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.43306151032447815},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11063018441200256},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2018.8546028","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8546028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1975517671","https://openalex.org/W1983309378","https://openalex.org/W2000689228","https://openalex.org/W2070310569","https://openalex.org/W2078810715","https://openalex.org/W2096733369","https://openalex.org/W2099601760","https://openalex.org/W2117223204","https://openalex.org/W2163605009","https://openalex.org/W2613762307","https://openalex.org/W2962737108","https://openalex.org/W3099206234","https://openalex.org/W6684191040","https://openalex.org/W6737405093","https://openalex.org/W6737811767"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W2366718574","https://openalex.org/W2359774528","https://openalex.org/W4298312966","https://openalex.org/W1573812202"],"abstract_inverted_index":{"Critical":[0],"events":[1,17],"in":[2,40,56,70],"videos":[3,41,122],"amount":[4],"to":[5,32,45,51,98],"the":[6,11,33,53,57,61,81,100,113,131,144],"set":[7],"of":[8,35,63,87,115,133,146],"frames":[9,66,89],"where":[10,80],"user":[12],"attention":[13],"is":[14],"heightened.":[15],"Such":[16],"are":[18,90],"usually":[19],"fine-grained":[20],"activities":[21],"and":[22,49,67,126],"do":[23],"not":[24],"necessarily":[25],"have":[26],"defined":[27],"shot":[28,47,68,134],"boundaries.":[29],"Traditional":[30],"approaches":[31],"task":[34,132,145],"Shot":[36],"Boundary":[37],"Detection":[38],"(SBD)":[39],"perform":[42],"frame-level":[43],"classification":[44],"obtain":[46],"boundaries":[48,69],"fail":[50],"identify":[52],"critical":[54,65,147],"shots":[55],"video.":[58],"We":[59,92,111],"model":[60],"problem":[62],"identifying":[64],"a":[71,94,106],"video":[72,88],"as":[73],"learning":[74,109],"an":[75],"image":[76,102],"frame":[77,101,148],"similarity":[78,103],"metric":[79,104],"distance":[82],"relationships":[83],"between":[84],"different":[85],"types":[86],"modeled.":[91],"propose":[93],"novel":[95],"pentuplet":[96],"loss":[97],"learn":[99],"through":[105],"pentuplet-based":[107],"deep":[108],"framework.":[110],"showcase":[112],"results":[114,142],"our":[116],"proposed":[117,138],"framework":[118,139],"on":[119,153],"soccer":[120,154],"highlight":[121,155],"against":[123,150],"state-of-the-art":[124],"baselines":[125],"significantly":[127],"outperform":[128],"them":[129],"for":[130,143],"boundary":[135],"detection.":[136],"The":[137],"shows":[140],"promising":[141],"detection":[149],"human":[151],"annotations":[152],"videos.":[156]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
