{"id":"https://openalex.org/W2002267048","doi":"https://doi.org/10.1109/icip.2012.6466803","title":"Key frame extraction from consumer videos using epitome","display_name":"Key frame extraction from consumer videos using epitome","publication_year":2012,"publication_date":"2012-09-01","ids":{"openalex":"https://openalex.org/W2002267048","doi":"https://doi.org/10.1109/icip.2012.6466803","mag":"2002267048"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2012.6466803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2012.6466803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 19th IEEE International Conference on Image Processing","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/A5101809900","display_name":"Chinh Dang","orcid":"https://orcid.org/0000-0002-4496-9927"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"C.T. Dang","raw_affiliation_strings":["Electrical and Computer Department, Michigan State University, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Department, Michigan State University, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100885767","display_name":"M. Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I175669267","display_name":"Carestream (United States)","ror":"https://ror.org/048m16q57","country_code":"US","type":"company","lineage":["https://openalex.org/I175669267"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Kumar","raw_affiliation_strings":["Eastman Kodak Company, Rochester, NY, USA","Eastman Kodak Company, Rochester, Newyork, USA"],"affiliations":[{"raw_affiliation_string":"Eastman Kodak Company, Rochester, NY, USA","institution_ids":["https://openalex.org/I175669267"]},{"raw_affiliation_string":"Eastman Kodak Company, Rochester, Newyork, USA","institution_ids":["https://openalex.org/I175669267"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015107642","display_name":"Hayder Radha","orcid":null},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. Radha","raw_affiliation_strings":["Electrical and Computer Department, Michigan State University, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Department, Michigan State University, USA","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101809900"],"corresponding_institution_ids":["https://openalex.org/I87216513"],"apc_list":null,"apc_paid":null,"fwci":3.8437,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.94144591,"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":"93","last_page":"96"},"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/T11309","display_name":"Music and Audio Processing","score":0.9966999888420105,"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":0.9861999750137329,"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/key-frame","display_name":"Key frame","score":0.8822352886199951},{"id":"https://openalex.org/keywords/epitome","display_name":"Epitome","score":0.8771332502365112},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.8218212127685547},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7837378978729248},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7308084964752197},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.7225354313850403},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6375108957290649},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.6265259385108948},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6161900162696838},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5417718291282654},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5048366189002991},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4698050618171692},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.43598031997680664},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41635534167289734},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.4107140302658081},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3631857633590698}],"concepts":[{"id":"https://openalex.org/C2780139006","wikidata":"https://www.wikidata.org/wiki/Q1493902","display_name":"Key frame","level":3,"score":0.8822352886199951},{"id":"https://openalex.org/C2775858994","wikidata":"https://www.wikidata.org/wiki/Q5383732","display_name":"Epitome","level":2,"score":0.8771332502365112},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8218212127685547},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7837378978729248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7308084964752197},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.7225354313850403},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6375108957290649},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.6265259385108948},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6161900162696838},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5417718291282654},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5048366189002991},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4698050618171692},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.43598031997680664},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41635534167289734},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.4107140302658081},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3631857633590698},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2012.6466803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2012.6466803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 19th IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1963878379","https://openalex.org/W1999665432","https://openalex.org/W2026962663","https://openalex.org/W2029466896","https://openalex.org/W2075567596","https://openalex.org/W2091408165","https://openalex.org/W2094998392","https://openalex.org/W2115752152","https://openalex.org/W2119204357","https://openalex.org/W2123838014","https://openalex.org/W2129291408","https://openalex.org/W2137680370","https://openalex.org/W2142472852","https://openalex.org/W2152433968","https://openalex.org/W2293430386","https://openalex.org/W3016005719","https://openalex.org/W3148595793","https://openalex.org/W6657327592","https://openalex.org/W6678892181"],"related_works":["https://openalex.org/W3151712336","https://openalex.org/W1995642259","https://openalex.org/W2051533144","https://openalex.org/W3006807070","https://openalex.org/W4231592335","https://openalex.org/W2350427440","https://openalex.org/W2623188001","https://openalex.org/W878158805","https://openalex.org/W2908469318","https://openalex.org/W2096345116"],"abstract_inverted_index":{"Key":[0,14],"frame":[1,15],"extraction":[2,16],"algorithms":[3],"select":[4],"a":[5,80],"subset":[6],"of":[7,23,69,88,109,128],"the":[8,57,70,85,92,110,117,126,129],"most":[9],"informative":[10],"frames":[11,49,68,90],"from":[12,35,50,91],"videos.":[13],"finds":[17],"applications":[18],"in":[19],"several":[20],"broad":[21],"areas":[22],"video":[24,29,31],"processing":[25],"research":[26],"such":[27],"as":[28],"summarization,":[30],"indexing,":[32],"and":[33],"prints":[34],"video.":[36,72,94],"In":[37,56],"this":[38,114],"paper,":[39],"an":[40],"image":[41,62],"epitome":[42,63],"[1][2]":[43],"based":[44],"method":[45,115],"to":[46,64,83],"extract":[47,84],"key":[48,89],"unstructured":[51],"consumer":[52],"videos":[53],"is":[54],"presented.":[55],"proposed":[58,96,130],"approach,":[59],"we":[60],"exploit":[61],"measure":[65],"dissimilarity":[66,74],"between":[67],"input":[71,93],"The":[73,95],"scores":[75],"are":[76],"further":[77],"analyzed":[78],"using":[79],"min-max":[81],"approach":[82,97],"desired":[86],"number":[87],"does":[98],"not":[99],"require":[100],"shot(s)":[101],"detection,":[102],"segmentation,":[103],"or":[104],"semantic":[105],"understanding.":[106],"A":[107],"comparison":[108],"results":[111],"obtained":[112],"by":[113,121],"with":[116],"ground":[118],"truth":[119],"agreed":[120],"multiple":[122],"judges":[123],"clearly":[124],"indicates":[125],"feasibility":[127],"approach.":[131]},"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":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":9}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
