{"id":"https://openalex.org/W1977307069","doi":"https://doi.org/10.1142/s1793351x09000860","title":"EFFECTIVE AND EFFICIENT VIDEO HIGH-LEVEL SEMANTIC RETRIEVAL USING ASSOCIATIONS AND CORRELATIONS","display_name":"EFFECTIVE AND EFFICIENT VIDEO HIGH-LEVEL SEMANTIC RETRIEVAL USING ASSOCIATIONS AND CORRELATIONS","publication_year":2009,"publication_date":"2009-12-01","ids":{"openalex":"https://openalex.org/W1977307069","doi":"https://doi.org/10.1142/s1793351x09000860","mag":"1977307069"},"language":"en","primary_location":{"id":"doi:10.1142/s1793351x09000860","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793351x09000860","pdf_url":null,"source":{"id":"https://openalex.org/S4210201727","display_name":"International Journal of Semantic Computing","issn_l":"1793-7108","issn":["1793-7108","1793-351X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Semantic Computing","raw_type":"journal-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/A5100294473","display_name":"LIN LIN","orcid":null},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"LIN LIN","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL 33124, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL 33124, USA","institution_ids":["https://openalex.org/I145608581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036221136","display_name":"Mei\u2010Ling Shyu","orcid":"https://orcid.org/0000-0003-0902-0844"},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"MEI-LING SHYU","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL 33124, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL 33124, USA","institution_ids":["https://openalex.org/I145608581"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145608581"],"apc_list":null,"apc_paid":null,"fwci":1.2873,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.82918727,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"03","issue":"04","first_page":"421","last_page":"444"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9973999857902527,"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":0.9973999857902527,"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":0.7670892477035522},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6012522578239441},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.53575599193573},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5311236381530762},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4958053529262543},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4916377663612366},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.46841683983802795},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4642198085784912},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4631800949573517},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.4588821828365326},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45296716690063477},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.44280096888542175},{"id":"https://openalex.org/keywords/harmonic-mean","display_name":"Harmonic mean","score":0.4376094341278076},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.4322197437286377},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.28805840015411377},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17249515652656555},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15118280053138733},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12628650665283203}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7670892477035522},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6012522578239441},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.53575599193573},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5311236381530762},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4958053529262543},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4916377663612366},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.46841683983802795},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4642198085784912},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4631800949573517},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.4588821828365326},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45296716690063477},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.44280096888542175},{"id":"https://openalex.org/C203858083","wikidata":"https://www.wikidata.org/wiki/Q188347","display_name":"Harmonic mean","level":2,"score":0.4376094341278076},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.4322197437286377},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.28805840015411377},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17249515652656555},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15118280053138733},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12628650665283203},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s1793351x09000860","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793351x09000860","pdf_url":null,"source":{"id":"https://openalex.org/S4210201727","display_name":"International Journal of Semantic Computing","issn_l":"1793-7108","issn":["1793-7108","1793-351X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Semantic Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309249","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W643606810","https://openalex.org/W1506285740","https://openalex.org/W1520890006","https://openalex.org/W1570448133","https://openalex.org/W1660626135","https://openalex.org/W1967879792","https://openalex.org/W1972442292","https://openalex.org/W2000473687","https://openalex.org/W2009484134","https://openalex.org/W2022111853","https://openalex.org/W2032427901","https://openalex.org/W2046289995","https://openalex.org/W2058267700","https://openalex.org/W2062903088","https://openalex.org/W2074166857","https://openalex.org/W2078570228","https://openalex.org/W2098818042","https://openalex.org/W2104333461","https://openalex.org/W2107618751","https://openalex.org/W2120484483","https://openalex.org/W2123446250","https://openalex.org/W2131441114","https://openalex.org/W2132907844","https://openalex.org/W2135427356","https://openalex.org/W2150637221","https://openalex.org/W2162031491","https://openalex.org/W2171128071","https://openalex.org/W2171402728"],"related_works":["https://openalex.org/W4376565614","https://openalex.org/W2361805396","https://openalex.org/W2128177177","https://openalex.org/W2972254340","https://openalex.org/W2022231341","https://openalex.org/W2096851309","https://openalex.org/W2373973507","https://openalex.org/W2796842799","https://openalex.org/W2351154965","https://openalex.org/W2357579988"],"abstract_inverted_index":{"Two":[0],"important":[1],"approaches":[2],"in":[3,55,247],"multimedia":[4],"information":[5],"retrieval":[6,80],"are":[7,52,100,157,212,232],"classification":[8,20,155],"and":[9,43,75,85,89,130,139,150,177,199,205,220],"the":[10,13,31,35,47,50,56,67,91,109,112,124,131,141,144,148,161,171,175,182,187,190,223,227,235,248],"ranking":[11,60,168],"of":[12,18,39,111,147,189],"retrieved":[14,68,183,230],"results.":[15,69,184],"The":[16,96,152],"technique":[17],"performing":[19],"using":[21,102,160],"Association":[22],"Rule":[23],"Mining":[24],"(ARM)":[25],"has":[26],"been":[27,63],"utilized":[28],"to":[29,65,87,180],"detect":[30],"high-level":[32,78,92,196],"features":[33,93,197],"from":[34,203],"video,":[36],"taking":[37],"advantages":[38],"its":[40],"high":[41],"efficiency":[42],"accuracy.":[44],"Motivated":[45],"by":[46,159,234],"fact":[48],"that":[49,82,173],"users":[51],"only":[53],"interested":[54],"top-ranked":[57],"relevant":[58],"results,":[59],"strategies":[61],"have":[62],"adopted":[64],"sort":[66],"In":[70],"this":[71],"paper,":[72],"an":[73],"effective":[74],"efficient":[76],"video":[77],"semantic":[79],"framework":[81,216],"utilizes":[83],"associations":[84],"correlations":[86],"retrieve":[88],"rank":[90,181],"is":[94,119,241],"developed.":[95],"n-feature-value":[97,128],"pair":[98],"rules":[99,156],"generated":[101],"a":[103],"combined":[104],"measure":[105],"based":[106],"on":[107],"(1)":[108],"existence":[110],"(n":[113],"-":[114],"1)-feature-value":[115],"pairs,":[116],"where":[117],"n":[118],"larger":[120],"than":[121],"1,":[122],"(2)":[123],"correlation":[125,176],"between":[126],"different":[127],"pairs":[129],"concept":[132],"classes":[133],"through":[134],"Multiple":[135],"Correspondence":[136],"Analysis":[137],"(MCA),":[138],"(3)":[140],"similarity":[142,163,178],"representing":[143],"harmonic":[145],"mean":[146,236],"inter-similarity":[149],"intra-similarity.":[151],"final":[153,228],"association":[154],"selected":[158],"calculated":[162],"values.":[164],"Then":[165],"our":[166],"proposed":[167,191,215],"process":[169],"uses":[170],"scores":[172],"integrate":[174],"values":[179],"To":[185],"show":[186],"robustness":[188],"framework,":[192],"experiments":[193],"with":[194,207],"15":[195],"(concepts)":[198],"benchmark":[200],"data":[201],"sets":[202],"TRECVID":[204,249],"comparisons":[206],"6":[208],"other":[209,224],"well-known":[210],"classifiers":[211],"presented.":[213],"Our":[214],"achieves":[217],"promising":[218],"performance":[219,245],"outperforms":[221],"all":[222],"classifiers.":[225],"Moreover,":[226],"ranked":[229],"results":[231],"evaluated":[233],"average":[237],"precision":[238],"measure,":[239],"which":[240],"commonly":[242],"used":[243],"for":[244],"evaluation":[246],"community.":[250]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
