{"id":"https://openalex.org/W1975425178","doi":"https://doi.org/10.4018/jmdem.2012070102","title":"On Combining Sequence Alignment and Feature-Quantization for Sub-Image Searching","display_name":"On Combining Sequence Alignment and Feature-Quantization for Sub-Image Searching","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W1975425178","doi":"https://doi.org/10.4018/jmdem.2012070102","mag":"1975425178"},"language":"en","primary_location":{"id":"doi:10.4018/jmdem.2012070102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jmdem.2012070102","pdf_url":null,"source":{"id":"https://openalex.org/S87630009","display_name":"International Journal of Multimedia Data Engineering and Management","issn_l":"1947-8534","issn":["1947-8534","1947-8542"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Multimedia Data Engineering and Management","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/A5053164426","display_name":"Tom\u00e1\u0161 Homola","orcid":"https://orcid.org/0000-0002-8522-6169"},"institutions":[{"id":"https://openalex.org/I21449261","display_name":"Masaryk University","ror":"https://ror.org/02j46qs45","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21449261"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Tomas Homola","raw_affiliation_strings":["Masaryk University, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Masaryk University, Czech Republic","institution_ids":["https://openalex.org/I21449261"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027772886","display_name":"Vlastislav Dohnal","orcid":"https://orcid.org/0000-0001-7768-7435"},"institutions":[{"id":"https://openalex.org/I21449261","display_name":"Masaryk University","ror":"https://ror.org/02j46qs45","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21449261"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Vlastislav Dohnal","raw_affiliation_strings":["Masaryk University, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Masaryk University, Czech Republic","institution_ids":["https://openalex.org/I21449261"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035118942","display_name":"Pavel Zezula","orcid":"https://orcid.org/0000-0001-5438-6760"},"institutions":[{"id":"https://openalex.org/I21449261","display_name":"Masaryk University","ror":"https://ror.org/02j46qs45","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21449261"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Pavel Zezula","raw_affiliation_strings":["Masaryk University, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Masaryk University, Czech Republic","institution_ids":["https://openalex.org/I21449261"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21449261"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05901573,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":"3","first_page":"20","last_page":"44"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9988999962806702,"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/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.771690309047699},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.622388482093811},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4937361180782318},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4822331368923187},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47374972701072693},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.46878182888031006},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.462216317653656},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.447093665599823},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.4147326350212097},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4124617576599121},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3526384234428406},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33805471658706665},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32292622327804565}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.771690309047699},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.622388482093811},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4937361180782318},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4822331368923187},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47374972701072693},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.46878182888031006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.462216317653656},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.447093665599823},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.4147326350212097},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4124617576599121},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3526384234428406},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33805471658706665},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32292622327804565},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/jmdem.2012070102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jmdem.2012070102","pdf_url":null,"source":{"id":"https://openalex.org/S87630009","display_name":"International Journal of Multimedia Data Engineering and Management","issn_l":"1947-8534","issn":["1947-8534","1947-8542"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Multimedia Data Engineering and Management","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jmdem0:v:3:y:2012:i:3:p:20-44","is_oa":false,"landing_page_url":"http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jmdem.2012070102","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W182666420","https://openalex.org/W1485800236","https://openalex.org/W1530619329","https://openalex.org/W1544060217","https://openalex.org/W1554174647","https://openalex.org/W1603845670","https://openalex.org/W1975732275","https://openalex.org/W1992519395","https://openalex.org/W2031039904","https://openalex.org/W2074231493","https://openalex.org/W2085261163","https://openalex.org/W2087064593","https://openalex.org/W2113263911","https://openalex.org/W2119605622","https://openalex.org/W2124404372","https://openalex.org/W2125120904","https://openalex.org/W2125729109","https://openalex.org/W2128017662","https://openalex.org/W2131846894","https://openalex.org/W2132450069","https://openalex.org/W2133540884","https://openalex.org/W2141362318","https://openalex.org/W2148809531","https://openalex.org/W2151103935","https://openalex.org/W2161160262","https://openalex.org/W2161946528","https://openalex.org/W2170037597","https://openalex.org/W2199495299","https://openalex.org/W2592731318","https://openalex.org/W4285719527","https://openalex.org/W6632963374","https://openalex.org/W6678907263","https://openalex.org/W6679055200","https://openalex.org/W6679574297"],"related_works":["https://openalex.org/W3024364549","https://openalex.org/W4206019083","https://openalex.org/W2054476758","https://openalex.org/W1976265003","https://openalex.org/W2370378377","https://openalex.org/W2048865712","https://openalex.org/W4210535024","https://openalex.org/W4237510188","https://openalex.org/W2130160813","https://openalex.org/W2350613701"],"abstract_inverted_index":{"The":[0,60,130,175],"availability":[1],"of":[2,66,81,127,132,137,165,170,192,210],"various":[3],"photo":[4,7],"archives":[5],"and":[6,74,125,178,207],"sharing":[8],"systems":[9],"made":[10],"similarity":[11,123],"searching":[12],"much":[13],"more":[14],"important":[15,38],"because":[16],"the":[17,25,55,75,82,97,104,110,208],"photos":[18,26],"are":[19,181,194],"not":[20,39],"usually":[21],"conveniently":[22],"tagged.":[23],"So":[24],"(images)":[27],"need":[28],"to":[29,41,50,78,124,154,199],"be":[30,63],"searched":[31],"by":[32,121,167],"their":[33,58,122],"content.":[34],"Moreover,":[35],"it":[36,133],"is":[37,77,102,143,197,217],"only":[40],"compare":[42],"images":[43,52,80,91,120,191],"with":[44],"a":[45,64,67,87,93,128,138,184,200],"query":[46,56,61,83,98],"holistically":[47],"but":[48,85],"also":[49],"locate":[51],"that":[53],"contain":[54],"as":[57],"part.":[59],"can":[62],"picture":[65],"person,":[68],"building,":[69],"or":[70,90],"an":[71,113,151],"abstract":[72],"object":[73,84],"task":[76],"retrieve":[79],"from":[86],"different":[88],"perspective":[89],"capturing":[92],"global":[94],"scene":[95],"containing":[96,188],"object.":[99],"This":[100,149],"retrieval":[101],"called":[103,115],"sub-image":[105],"searching.":[106],"In":[107],"this":[108],"paper,":[109],"authors":[111],"propose":[112],"algorithm,":[114,141],"SASISA,":[116],"for":[117],"retrieving":[118],"database":[119],"containment":[126],"query.":[129],"novelty":[131],"lies":[134],"in":[135,146,212],"application":[136],"sequence":[139],"alignment":[140],"which":[142],"commonly":[144],"used":[145,156],"text":[147],"retrieval.":[148],"forms":[150],"orthogonal":[152],"solution":[153],"currently":[155],"approaches":[157],"based":[158],"on":[159,183],"inverted":[160],"files.":[161],"They":[162],"improve":[163],"efficiency":[164],"SASISA":[166],"applying":[168],"vector-quantization":[169],"local":[171],"image":[172],"feature":[173],"descriptors.":[174],"proposed":[176],"algorithm":[177],"its":[179],"optimization":[180],"evaluated":[182],"real-life":[185],"data":[186],"set":[187],"photographs":[189],"where":[190],"logos":[193],"searched.":[195],"It":[196],"compared":[198],"state-of-the-art":[201],"method":[202],"(Joly":[203],"&":[204],"Buisson,":[205],"2009)":[206],"improvement":[209],"16%":[211],"mean":[213],"average":[214],"precision":[215],"(mAP)":[216],"obtained.":[218]},"counts_by_year":[],"updated_date":"2026-06-11T06:19:23.411458","created_date":"2025-10-10T00:00:00"}