{"id":"https://openalex.org/W2299696696","doi":"https://doi.org/10.11575/prism/25845","title":"Efficient Image Matching using Regions of Interest","display_name":"Efficient Image Matching using Regions of Interest","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2299696696","doi":"https://doi.org/10.11575/prism/25845","mag":"2299696696"},"language":"en","primary_location":{"id":"pmh:oai:prism.ucalgary.ca:11023/1752","is_oa":false,"landing_page_url":"http://hdl.handle.net/11023/1752","pdf_url":null,"source":{"id":"https://openalex.org/S4306402261","display_name":"Libraries and Cultural Resources (University of Calgary)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I168635309","host_organization_name":"University of Calgary","host_organization_lineage":["https://openalex.org/I168635309"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"doctoral thesis"},"type":"dissertation","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.11575/prism/25845","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020121612","display_name":"Priyadarshi Bhattacharya","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Bhattacharya, Priyadarshi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5020121612"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9333999752998352,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9333999752998352,"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":0.9315999746322632,"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/matching","display_name":"Matching (statistics)","score":0.47741520404815674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45319876074790955},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4245617985725403},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4101265072822571},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3858640789985657},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3699074983596802},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.35578474402427673},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34629514813423157},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2713207006454468},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18545374274253845}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.47741520404815674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45319876074790955},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4245617985725403},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4101265072822571},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3858640789985657},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3699074983596802},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.35578474402427673},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34629514813423157},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2713207006454468},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18545374274253845}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:prism.ucalgary.ca:11023/1752","is_oa":false,"landing_page_url":"http://hdl.handle.net/11023/1752","pdf_url":null,"source":{"id":"https://openalex.org/S4306402261","display_name":"Libraries and Cultural Resources (University of Calgary)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I168635309","host_organization_name":"University of Calgary","host_organization_lineage":["https://openalex.org/I168635309"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"doctoral thesis"},{"id":"doi:10.11575/prism/25845","is_oa":true,"landing_page_url":"https://doi.org/10.11575/prism/25845","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Other"},{"id":"mag:2299696696","is_oa":false,"landing_page_url":"https://prism.ucalgary.ca/bitstream/11023/1752/2/ucalgary_2014_bhattacharya_priyadarshi.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.11575/prism/25845","is_oa":true,"landing_page_url":"https://doi.org/10.11575/prism/25845","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Other"},"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/W809828614","https://openalex.org/W2594490447","https://openalex.org/W2956426495","https://openalex.org/W2395099093","https://openalex.org/W3186583519","https://openalex.org/W2944804470","https://openalex.org/W2896312206","https://openalex.org/W1601473045","https://openalex.org/W3173285710","https://openalex.org/W2586284110","https://openalex.org/W3133926575","https://openalex.org/W2993108880","https://openalex.org/W2239950942","https://openalex.org/W2283905189","https://openalex.org/W816430861","https://openalex.org/W981263809","https://openalex.org/W2526106352","https://openalex.org/W2593000515","https://openalex.org/W3119256723","https://openalex.org/W2301505525"],"abstract_inverted_index":{"This":[0,147],"thesis":[1],"tackles":[2],"the":[3,52,64,93,95,143,149,198,201,257,261,280],"challenging":[4],"problem":[5],"of":[6,11,92,122,133,174,197,260,276],"producing":[7],"a":[8,17,21,76,89,109,130,157,178,182],"ranked":[9],"list":[10],"images,":[12,172],"based":[13,50,87],"on":[14,51,88],"similarity":[15],"to":[16,35,79,99,119,212,216,235],"query":[18],"image":[19,24,46,65,111,124,144,162,237],"in":[20,44,63,69,142,171,192,200],"large,":[22],"unordered":[23],"collection.":[25],"The":[26,185,207],"application":[27],"domain":[28],"considered":[29],"spans":[30],"from":[31],"landmarks":[32],"and":[33,101,125,220,223,232],"scenes":[34],"general":[36],"objects.":[37],"Existing":[38],"state-of-the-art":[39,265],"methodology":[40,164,209,263],"for":[41,151,225],"object":[42,244],"retrieval":[43,81],"large":[45,190,236],"collections":[47],"[SZ03]":[48],"[PCI+07],":[49],"bag-of-words":[53,281],"approach,":[54],"has":[55],"its":[56],"limitations.":[57],"Discarding":[58],"spatial":[59,136,154,269,284],"information":[60,137],"about":[61,138],"features":[62,139],"representation":[66],"stage":[67],"results":[68],"false":[70],"matches.":[71],"Spatial":[72],"verification,":[73],"used":[74],"as":[75,156],"post-processing":[77,158],"step":[78],"improve":[80],"accuracy,":[82],"is":[83,97,115,140,165,187,210,233,242,246,272],"computationally":[84,152],"expensive.":[85],"Being":[86],"global":[90,179,194],"model":[91],"image,":[94],"method":[96],"susceptible":[98],"noise":[100],"background":[102,221],"clutter.":[103],"In":[104],"this":[105],"thesis,":[106],"I":[107],"propose":[108],"novel":[110,161],"modelling":[112,145],"methodology,":[113],"that":[114,167,243,267],"driven":[116],"by":[117],"attention":[118],"interesting":[120],"regions":[121,128,170,199],"an":[123],"representing":[126],"these":[127],"at":[129,177],"high":[131],"level":[132,180],"detail.":[134],"Rich":[135],"injected":[141],"stage.":[146],"eliminates":[148],"need":[150],"expensive":[153],"verification":[155],"step.":[159],"A":[160],"matching":[163,175],"proposed":[166,208,262],"matches":[168],"localized":[169],"instead":[173],"images":[176,202],"using":[181],"histogram-based":[183],"approach.":[184],"motivation":[186],"that,":[188],"despite":[189],"changes":[191],"their":[193],"appearance,":[195],"some":[196],"will":[203],"still":[204],"match":[205],"well.":[206],"observed":[211],"be":[213],"highly":[214],"robust":[215],"viewpoint":[217],"changes,":[218],"occlusion":[219],"clutter":[222],"suitable":[224],"sub-image":[226],"retrieval.":[227],"It":[228,271],"allows":[229],"real-time":[230],"search":[231],"scalable":[234],"corpuses.":[238],"An":[239],"added":[240],"advantage":[241],"localization":[245],"possible":[247],"simultaneously":[248],"with":[249,251,283],"search,":[250],"minimal":[252],"computing":[253],"effort.":[254],"Experiments":[255],"reveal":[256],"superior":[258],"performance":[259],"over":[264],"methods":[266],"utilize":[268],"information.":[270],"also":[273],"several":[274],"orders":[275],"magnitude":[277],"faster":[278],"than":[279],"approach":[282],"verification.":[285]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}