{"id":"https://openalex.org/W2164488048","doi":"https://doi.org/10.1109/iccv.2011.6126361","title":"Discovering favorite views of popular places with iconoid shift","display_name":"Discovering favorite views of popular places with iconoid shift","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2164488048","doi":"https://doi.org/10.1109/iccv.2011.6126361","mag":"2164488048"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2011.6126361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2011.6126361","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Computer Vision","raw_type":"proceedings-article"},"type":"conference-paper","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/A5042151877","display_name":"Tobias Weyand","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tobias Weyand","raw_affiliation_strings":["UMIC Research Centre, RWTH Aachen University, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UMIC Research Centre, RWTH Aachen University, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071006649","display_name":"Bastian Leibe","orcid":"https://orcid.org/0000-0003-4225-0051"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bastian Leibe","raw_affiliation_strings":["UMIC Research Centre, RWTH Aachen University, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UMIC Research Centre, RWTH Aachen University, Germany","institution_ids":["https://openalex.org/I887968799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I887968799"],"apc_list":null,"apc_paid":null,"fwci":3.5668,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.95131256,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1132","last_page":"1139"},"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":0.9994999766349792,"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":0.9994999766349792,"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":0.991599977016449,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.743674099445343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5811519622802734},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5765382051467896},{"id":"https://openalex.org/keywords/medoid","display_name":"Medoid","score":0.562255859375},{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.5222033858299255},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5032982230186462},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4368390440940857},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4172705411911011},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.4136367440223694},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32377147674560547},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2549249827861786},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16366487741470337}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.743674099445343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5811519622802734},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5765382051467896},{"id":"https://openalex.org/C63085389","wikidata":"https://www.wikidata.org/wiki/Q4287912","display_name":"Medoid","level":3,"score":0.562255859375},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.5222033858299255},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5032982230186462},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4368390440940857},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4172705411911011},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.4136367440223694},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32377147674560547},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2549249827861786},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16366487741470337},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccv.2011.6126361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2011.6126361","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:publications.rwth-aachen.de:126751","is_oa":false,"landing_page_url":"https://publications.rwth-aachen.de/record/126751","pdf_url":null,"source":{"id":"https://openalex.org/S4306401033","display_name":"RWTH Publications (RWTH Aachen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887968799","host_organization_name":"RWTH Aachen University","host_organization_lineage":["https://openalex.org/I887968799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2011 International Conference on Computer Vision (ICCV 2011) : Barcelona, Spain, 6 - 13 November 2011 / IEEE<br/>International Conference on Computer Vision, ICCV, Barcelona, Spain, 2011-11-06 - 2011-11-13","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1508404128","https://openalex.org/W1597120896","https://openalex.org/W1979572481","https://openalex.org/W2067191022","https://openalex.org/W2099443716","https://openalex.org/W2100398441","https://openalex.org/W2103388840","https://openalex.org/W2110988483","https://openalex.org/W2121348293","https://openalex.org/W2131846894","https://openalex.org/W2136451880","https://openalex.org/W2141362318","https://openalex.org/W2148675068","https://openalex.org/W2150307973","https://openalex.org/W2151103935","https://openalex.org/W2162098863","https://openalex.org/W2163334428","https://openalex.org/W2171448996","https://openalex.org/W2533007775","https://openalex.org/W2536680313","https://openalex.org/W2537826750","https://openalex.org/W2540698934","https://openalex.org/W4231674576","https://openalex.org/W6630399218","https://openalex.org/W6635917292","https://openalex.org/W6674542975","https://openalex.org/W6683625675","https://openalex.org/W6728928102"],"related_works":["https://openalex.org/W3048101614","https://openalex.org/W4306887032","https://openalex.org/W188786151","https://openalex.org/W4285822644","https://openalex.org/W4288454755","https://openalex.org/W2997783990","https://openalex.org/W2187867365","https://openalex.org/W3041342006","https://openalex.org/W4309269331","https://openalex.org/W1561292699"],"abstract_inverted_index":{"In":[0,18],"this":[1,93],"paper,":[2],"we":[3,29,74],"propose":[4,88],"a":[5,26,34,50,78,83,127],"novel":[6,84],"algorithm":[7,39],"for":[8,41,91,113],"automatic":[9],"landmark":[10],"building":[11],"discovery":[12],"in":[13,44,58],"large,":[14],"unstructured":[15],"image":[16,46],"collections.":[17,118],"contrast":[19],"to":[20,64],"other":[21],"approaches":[22],"which":[23,73],"aim":[24],"at":[25],"hard":[27],"clustering,":[28],"regard":[30],"the":[31,45,56,106,133],"task":[32],"as":[33],"mode":[35],"estimation":[36],"problem.":[37],"Our":[38],"searches":[40],"local":[42,103],"attractors":[43,62],"distribution":[47],"that":[48,109],"have":[49],"maximal":[51],"mutual":[52],"homography":[53],"overlap":[54],"with":[55,82],"images":[57,131],"their":[59],"neighborhood.":[60],"Those":[61],"correspond":[63],"central,":[65],"iconic":[66],"views":[67],"of":[68,105,116,129,132,136],"single":[69],"objects":[70],"or":[71],"buildings,":[72],"efficiently":[75],"extract":[76],"using":[77],"medoid":[79],"shift":[80],"search":[81],"distance":[85],"measure.":[86],"We":[87,119],"efficient":[89,102],"algorithms":[90],"performing":[92],"search.":[94],"Most":[95],"importantly,":[96],"our":[97,124],"approach":[98,125],"performs":[99],"only":[100],"an":[101],"exploration":[104],"matching":[107],"graph":[108],"makes":[110],"it":[111],"applicable":[112],"large-scale":[114],"analysis":[115],"photo":[117],"show":[120],"experimental":[121],"results":[122],"validating":[123],"on":[126],"dataset":[128],"500k":[130],"inner":[134],"city":[135],"Paris.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":8}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
