{"id":"https://openalex.org/W2004245410","doi":"https://doi.org/10.1109/aipr.2011.6176364","title":"Indexing and keyword search to ease navigation in lecture videos","display_name":"Indexing and keyword search to ease navigation in lecture videos","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W2004245410","doi":"https://doi.org/10.1109/aipr.2011.6176364","mag":"2004245410"},"language":"en","primary_location":{"id":"doi:10.1109/aipr.2011.6176364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2011.6176364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","raw_type":"proceedings-article"},"type":"paratext","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/A5054926069","display_name":"Tayfun Tuna","orcid":"https://orcid.org/0000-0002-7104-038X"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tayfun Tuna","raw_affiliation_strings":["Computer Science Department, University of Houston, Houston, TX, USA","University of Houston, Computer Science Department, TX 77204-3010, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]},{"raw_affiliation_string":"University of Houston, Computer Science Department, TX 77204-3010, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058655155","display_name":"Jaspal Subhlok","orcid":null},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jaspal Subhlok","raw_affiliation_strings":["Computer Science Department, University of Houston, Houston, TX, USA","University of Houston, Computer Science Department, TX 77204-3010, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]},{"raw_affiliation_string":"University of Houston, Computer Science Department, TX 77204-3010, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038747694","display_name":"Shishir K. Shah","orcid":"https://orcid.org/0000-0003-4093-6906"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shishir Shah","raw_affiliation_strings":["Computer Science Department, University of Houston, Houston, TX, USA","University of Houston, Computer Science Department, TX 77204-3010, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]},{"raw_affiliation_string":"University of Houston, Computer Science Department, TX 77204-3010, USA","institution_ids":["https://openalex.org/I44461941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I44461941"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":true,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9976999759674072,"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":0.8609090447425842},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.8164380788803101},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5866585969924927},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5719013214111328},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5016627311706543},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.45238733291625977},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.44063639640808105},{"id":"https://openalex.org/keywords/optical-character-recognition","display_name":"Optical character recognition","score":0.43218204379081726},{"id":"https://openalex.org/keywords/video-browsing","display_name":"Video browsing","score":0.4293314814567566},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.4225541949272156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42024290561676025},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.4165639281272888},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34395307302474976},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.33911916613578796},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19540271162986755}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8609090447425842},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.8164380788803101},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5866585969924927},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5719013214111328},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5016627311706543},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.45238733291625977},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.44063639640808105},{"id":"https://openalex.org/C546480517","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Optical character recognition","level":3,"score":0.43218204379081726},{"id":"https://openalex.org/C2775856596","wikidata":"https://www.wikidata.org/wiki/Q25141683","display_name":"Video browsing","level":4,"score":0.4293314814567566},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.4225541949272156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42024290561676025},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.4165639281272888},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34395307302474976},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.33911916613578796},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19540271162986755},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/aipr.2011.6176364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2011.6176364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.261.3225","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.261.3225","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.uh.edu/%7Ejaspal/papers/12aipr.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1966581206","https://openalex.org/W1990945743","https://openalex.org/W1993153838","https://openalex.org/W2009877213","https://openalex.org/W2017040921","https://openalex.org/W2029263174","https://openalex.org/W2108529567","https://openalex.org/W2152156227","https://openalex.org/W2168715845","https://openalex.org/W3005392924","https://openalex.org/W6684978859"],"related_works":["https://openalex.org/W4389850132","https://openalex.org/W1574724839","https://openalex.org/W2377190948","https://openalex.org/W2096476311","https://openalex.org/W4221117092","https://openalex.org/W4361855866","https://openalex.org/W169721953","https://openalex.org/W1965900363","https://openalex.org/W3034776505","https://openalex.org/W2406608628"],"abstract_inverted_index":{"Lecture":[0],"videos":[1,41],"have":[2],"been":[3,43],"commonly":[4],"used":[5,212],"to":[6,49,77,134,195,213],"supplement":[7],"in-class":[8,17],"teaching":[9,18],"and":[10,19,32,71,80,163,193,246],"for":[11,184,224],"distance":[12],"learning.":[13],"Videos":[14],"recorded":[15],"during":[16],"made":[20],"accessible":[21],"online":[22],"are":[23,181],"a":[24,30,60,87,108,146,152,157,205,225,233,268],"versatile":[25],"resource":[26],"on":[27,100,204,232],"par":[28],"with":[29,129,250],"textbook":[31],"the":[33,37,50,55,101,104,121,174,215],"classroom":[34],"itself.":[35],"Nonetheless,":[36],"adoption":[38],"of":[39,52,57,103,110,124,159,176,199,207,238,259,267,278],"lecture":[40,89,125,227,279],"has":[42],"limited,":[44],"in":[45,59,151,218],"large":[46],"part":[47,266],"due":[48],"difficulty":[51],"quickly":[53],"accessing":[54],"content":[56,79],"interest":[58],"long":[61,137],"video":[62,78,88,111,142,153,209,269],"lecture.":[63],"In":[64],"this":[65,219],"work,":[66],"we":[67],"present":[68,188],"\u201cvideo":[69],"indexing\u201d":[70],"\u201ckeyword":[72],"search\u201d":[73],"that":[74,119,144],"facilitate":[75],"access":[76],"enhances":[81],"user":[82],"experience.":[83],"Video":[84],"indexing":[85,117],"divides":[86],"into":[90],"segments":[91,143],"indicating":[92],"different":[93],"topics":[94],"by":[95,173],"identifying":[96],"scene":[97],"changes":[98],"based":[99],"analysis":[102],"difference":[105],"image":[106,189],"from":[107],"pair":[109],"frames.":[112],"We":[113,187],"propose":[114],"an":[115,255],"efficient":[116],"algorithm":[118],"leverages":[120],"unique":[122],"features":[123],"videos.":[126,138,280],"Binary":[127],"search":[128,140],"frame":[130,154],"sampling":[131],"is":[132,228,265],"employed":[133],"efficiently":[135],"analyze":[136],"Keyword":[139],"identifies":[141],"match":[145],"particular":[147],"keyword.":[148],"Since":[149],"text":[150,166,191],"often":[155],"contains":[156],"diversity":[158],"colors,":[160],"font":[161],"sizes":[162],"backgrounds,":[164],"our":[165,251],"detection":[167,197],"approach":[168],"requires":[169],"specialized":[170],"preprocessing":[171,252],"followed":[172],"use":[175],"off-the-shelf":[177],"OCR":[178,200,241],"engines,":[179],"which":[180],"designed":[182],"primarily":[183],"scanned":[185],"documents.":[186],"enhancements:":[190],"segmentation":[192],"inversion,":[194],"increase":[196],"accuracy":[198,237,258],"tools.":[201],"Experimental":[202],"results":[203],"suite":[206],"diverse":[208],"lectures":[210],"were":[211],"validate":[214],"methods":[216],"developed":[217],"work.":[220],"Average":[221],"processing":[222],"time":[223],"one-hour":[226],"around":[229],"14":[230],"minutes":[231],"typical":[234],"desktop.":[235],"Search":[236],"three":[239],"distinct":[240],"engines":[242],"-":[243],"Tesseract,":[244],"GOCR":[245],"MODI":[247],"increased":[248],"significantly":[249],"transformations,":[253],"yielding":[254],"overall":[256],"combined":[257],"97%.":[260],"The":[261],"work":[262],"presented":[263],"here":[264],"streaming":[270],"framework":[271],"deployed":[272],"at":[273],"multiple":[274],"campuses":[275],"serving":[276],"hundreds":[277]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}