{"id":"https://openalex.org/W3003434283","doi":"https://doi.org/10.1117/12.2559105","title":"Keyframe extraction using binary robust invariant scalable keypoint features","display_name":"Keyframe extraction using binary robust invariant scalable keypoint features","publication_year":2020,"publication_date":"2020-01-31","ids":{"openalex":"https://openalex.org/W3003434283","doi":"https://doi.org/10.1117/12.2559105","mag":"3003434283"},"language":"en","primary_location":{"id":"doi:10.1117/12.2559105","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2559105","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Twelfth International Conference on Machine Vision (ICMV 2019)","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/A5042414040","display_name":"Ashish Khare","orcid":"https://orcid.org/0000-0002-1070-877X"},"institutions":[{"id":"https://openalex.org/I168893459","display_name":"University of Allahabad","ror":"https://ror.org/03vrx7m55","country_code":"IN","type":"education","lineage":["https://openalex.org/I168893459"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ashish Khare","raw_affiliation_strings":["Univ. of Allahabad (India)"],"affiliations":[{"raw_affiliation_string":"Univ. of Allahabad (India)","institution_ids":["https://openalex.org/I168893459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058147989","display_name":"B. Mounika","orcid":"https://orcid.org/0009-0001-8279-5577"},"institutions":[{"id":"https://openalex.org/I168893459","display_name":"University of Allahabad","ror":"https://ror.org/03vrx7m55","country_code":"IN","type":"education","lineage":["https://openalex.org/I168893459"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Reddy M. B","raw_affiliation_strings":["Univ. of Allahabad (India)"],"affiliations":[{"raw_affiliation_string":"Univ. of Allahabad (India)","institution_ids":["https://openalex.org/I168893459"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083656658","display_name":"Manish Khare","orcid":"https://orcid.org/0000-0002-2296-2732"},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani Institute of Information and Communication Technology","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manish Khare","raw_affiliation_strings":["Dhirubhai Ambani Institute of Information and Communication Technology (India)"],"affiliations":[{"raw_affiliation_string":"Dhirubhai Ambani Institute of Information and Communication Technology (India)","institution_ids":["https://openalex.org/I98389781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042414040"],"corresponding_institution_ids":["https://openalex.org/I168893459"],"apc_list":null,"apc_paid":null,"fwci":0.5862,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.67700141,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"70","last_page":"70"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9993000030517578,"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":0.9993000030517578,"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":0.948199987411499,"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/T12908","display_name":"Media, Gender, and Advertising","score":0.947700023651123,"subfield":{"id":"https://openalex.org/subfields/3318","display_name":"Gender Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7724421620368958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6834392547607422},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6473870873451233},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5543159246444702},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5442533493041992},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5103053450584412},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5049243569374084},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.47725149989128113},{"id":"https://openalex.org/keywords/animation","display_name":"Animation","score":0.46000057458877563},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4534478485584259},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1216595470905304},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.12037494778633118},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.06746873259544373}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7724421620368958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6834392547607422},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6473870873451233},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5543159246444702},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5442533493041992},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5103053450584412},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5049243569374084},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.47725149989128113},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.46000057458877563},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4534478485584259},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1216595470905304},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.12037494778633118},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.06746873259544373},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2559105","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2559105","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Twelfth International Conference on Machine Vision (ICMV 2019)","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":0,"referenced_works":[],"related_works":["https://openalex.org/W4310844315","https://openalex.org/W2532377291","https://openalex.org/W2000013817","https://openalex.org/W4296190881","https://openalex.org/W2389214306","https://openalex.org/W2366362996","https://openalex.org/W2517624617","https://openalex.org/W2378422373","https://openalex.org/W2129566390","https://openalex.org/W2373874394"],"abstract_inverted_index":{"In":[0,23],"recent":[1],"years,":[2],"research":[3],"in":[4,17],"the":[5,44,87,92,113,117],"field":[6],"of":[7,31,47,82,86,96,112],"keyframe":[8,32],"extraction":[9,33],"become":[10],"more":[11],"attractive":[12],"due":[13],"to":[14,42],"its":[15],"use":[16],"advanced":[18],"applications":[19],"like":[20],"video":[21],"surveillance.":[22],"this":[24],"paper,":[25],"we":[26,57],"introduce":[27],"a":[28,71],"novel":[29],"algorithm":[30,75,115],"which":[34,63],"utilizes":[35],"Binary":[36],"Robust":[37],"Invariant":[38],"Scalable":[39],"Keypoint":[40],"features":[41],"obtain":[43],"dissimilarity":[45,64],"level":[46,65],"consecutive":[48],"frames":[49],"and":[50,101,107],"establishes":[51],"shot":[52],"transition":[53],"boundary,":[54],"from":[55],"where":[56],"extract":[58],"keyframes.":[59],"The":[60,73,104],"frame":[61],"at":[62],"is":[66,68,76,89],"high":[67],"taken":[69],"as":[70],"keyframe.":[72],"proposed":[74,114],"tested":[77],"on":[78],"ten":[79],"different":[80],"videos":[81],"animation":[83],"category.":[84],"Performance":[85],"method":[88],"assessed":[90],"using":[91],"evaluation":[93],"metrics-":[94],"Figure":[95],"merit,":[97],"Detection":[98],"percentage,":[99],"Accuracy":[100],"missing":[102],"factor.":[103],"experimental":[105],"results":[106],"analysis":[108],"shows":[109],"improved":[110],"performance":[111],"over":[116],"other":[118],"state-ofthe-art":[119],"methods.":[120]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
