{"id":"https://openalex.org/W2158434328","doi":"https://doi.org/10.1109/icdsp.2011.6004918","title":"Shot boundary detection from videos using entropy and local descriptor","display_name":"Shot boundary detection from videos using entropy and local descriptor","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2158434328","doi":"https://doi.org/10.1109/icdsp.2011.6004918","mag":"2158434328"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2011.6004918","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2011.6004918","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 17th International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5088106834","display_name":"Junaid Baber","orcid":"https://orcid.org/0000-0002-7517-6858"},"institutions":[{"id":"https://openalex.org/I38538140","display_name":"Asian Institute of Technology","ror":"https://ror.org/0403qcr87","country_code":"TH","type":"education","lineage":["https://openalex.org/I38538140"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Junaid Baber","raw_affiliation_strings":["School of Engineering and Technology, Asian Institute of Technology, Pathumthani, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Technology, Asian Institute of Technology, Pathumthani, Thailand","institution_ids":["https://openalex.org/I38538140"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009603257","display_name":"Nitin Afzulpurkar","orcid":null},"institutions":[{"id":"https://openalex.org/I38538140","display_name":"Asian Institute of Technology","ror":"https://ror.org/0403qcr87","country_code":"TH","type":"education","lineage":["https://openalex.org/I38538140"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Nitin Afzulpurkar","raw_affiliation_strings":["School of Engineering and Technology, Asian Institute of Technology, Pathumthani, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Technology, Asian Institute of Technology, Pathumthani, Thailand","institution_ids":["https://openalex.org/I38538140"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035778658","display_name":"Matthew N. Dailey","orcid":"https://orcid.org/0000-0002-7191-3558"},"institutions":[{"id":"https://openalex.org/I38538140","display_name":"Asian Institute of Technology","ror":"https://ror.org/0403qcr87","country_code":"TH","type":"education","lineage":["https://openalex.org/I38538140"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Matthew N. Dailey","raw_affiliation_strings":["School of Engineering and Technology, Asian Institute of Technology, Pathumthani, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Technology, Asian Institute of Technology, Pathumthani, Thailand","institution_ids":["https://openalex.org/I38538140"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016357100","display_name":"Maheen Bakhtyar","orcid":null},"institutions":[{"id":"https://openalex.org/I38538140","display_name":"Asian Institute of Technology","ror":"https://ror.org/0403qcr87","country_code":"TH","type":"education","lineage":["https://openalex.org/I38538140"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Maheen Bakhtyar","raw_affiliation_strings":["School of Engineering and Technology, Asian Institute of Technology, Pathumthani, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Technology, Asian Institute of Technology, Pathumthani, Thailand","institution_ids":["https://openalex.org/I38538140"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I38538140"],"apc_list":null,"apc_paid":null,"fwci":4.7557,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.96702698,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T11309","display_name":"Music and Audio Processing","score":0.9707000255584717,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9516000151634216,"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":0.7564480304718018},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.7396242618560791},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.7255016565322876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6609960198402405},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5801378488540649},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.5597345232963562},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5445466637611389},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.5399302244186401},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5370529890060425},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.527959942817688},{"id":"https://openalex.org/keywords/key-frame","display_name":"Key frame","score":0.49960923194885254},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41078445315361023},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.3318091034889221}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7564480304718018},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.7396242618560791},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.7255016565322876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6609960198402405},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5801378488540649},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.5597345232963562},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5445466637611389},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5399302244186401},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5370529890060425},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.527959942817688},{"id":"https://openalex.org/C2780139006","wikidata":"https://www.wikidata.org/wiki/Q1493902","display_name":"Key frame","level":3,"score":0.49960923194885254},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41078445315361023},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.3318091034889221},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdsp.2011.6004918","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2011.6004918","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 17th International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W120629929","https://openalex.org/W1776985898","https://openalex.org/W2006830243","https://openalex.org/W2105681127","https://openalex.org/W2119605622","https://openalex.org/W2133222283","https://openalex.org/W2133947159","https://openalex.org/W2147328102","https://openalex.org/W2155637408","https://openalex.org/W2161827960","https://openalex.org/W6604830353","https://openalex.org/W6638180245","https://openalex.org/W6675530093"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W2350427440","https://openalex.org/W2623188001","https://openalex.org/W878158805","https://openalex.org/W2908469318","https://openalex.org/W2096345116","https://openalex.org/W3156432658"],"abstract_inverted_index":{"Video":[0],"shot":[1,33,50,64,74,123],"segmentation":[2],"is":[3,44,89],"an":[4,61,117],"important":[5],"step":[6],"in":[7,52,95],"key":[8],"frame":[9],"selection,":[10],"video":[11,14,17,25],"copy":[12],"detection,":[13],"summarization,":[15],"and":[16,80,106,143],"indexing":[18],"for":[19,63],"retrieval.":[20],"Although":[21],"some":[22],"types":[23,54],"of":[24,84,93,98,108,134,141,146],"data,":[26],"e.g.,":[27],"live":[28],"sports":[29],"coverage,":[30],"have":[31],"abrupt":[32,73],"boundaries":[34,51,82],"that":[35],"are":[36],"easy":[37],"to":[38,48,68],"identify":[39,49,70],"using":[40],"simple":[41],"heuristics,":[42],"it":[43],"much":[45],"more":[46],"difficult":[47],"other":[53],"such":[55],"as":[56],"cinematic":[57,85],"movies.":[58,86],"We":[59],"propose":[60],"algorithm":[62,88,128],"boundary":[65,124],"detection":[66],"able":[67],"accurately":[69],"not":[71],"only":[72],"boundaries,":[75],"but":[76],"also":[77],"the":[78,96,99,121,127,135],"fade-in":[79],"fade-out":[81],"typical":[83],"The":[87],"based":[90],"on":[91,120],"analysis":[92,107],"changes":[94],"entropy":[97],"gray":[100],"scale":[101],"intensity":[102],"over":[103,113,132],"consecutive":[104,114],"frames":[105],"correspondences":[109],"between":[110],"SURF":[111],"features":[112],"frames.":[115],"In":[116],"experimental":[118],"evaluation":[119],"TRECVID-2007":[122],"test":[125],"set,":[126],"achieves":[129],"substantial":[130],"improvements":[131],"state":[133],"art":[136],"methods,":[137],"with":[138],"a":[139,144],"precision":[140],"97.8%":[142],"recall":[145],"99.3%.":[147]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":6}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
