{"id":"https://openalex.org/W19595231","doi":null,"title":"Scene recognition using visual attention, invariant local features and visual landmarks","display_name":"Scene recognition using visual attention, invariant local features and visual landmarks","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W19595231","mag":"19595231"},"language":"en","primary_location":{"id":"mag:19595231","doi":null,"is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/ipcv/ipcv2010.html#Lopez-GarciaGFP10","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Image Processing","raw_type":null},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"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/A5018082691","display_name":"Fernando L\u00f3pez\u2010Garc\u00eda","orcid":"https://orcid.org/0000-0002-2079-1589","observed_orcids":["https://orcid.org/0000-0002-2079-1589"]},"institutions":[{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Fernando L\u00f3pez\u2010Garc\u00eda","raw_affiliation_strings":["Universitat Polit\u00e8cnica de Val\u00e8ncia, Valencia, Spain"],"raw_orcid":"https://orcid.org/0000-0002-2079-1589","affiliations":[{"raw_affiliation_string":"Universitat Polit\u00e8cnica de Val\u00e8ncia, Valencia, Spain","institution_ids":["https://openalex.org/I60053951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087747087","display_name":"Ant\u00f3n Garc\u00eda-D\u00edaz","orcid":"https://orcid.org/0000-0001-5965-9238","observed_orcids":["https://orcid.org/0000-0001-5965-9238"]},"institutions":[{"id":"https://openalex.org/I200284239","display_name":"Universidade de Santiago de Compostela","ror":"https://ror.org/030eybx10","country_code":"ES","type":"education","lineage":["https://openalex.org/I200284239"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ant\u00f3n Garc\u00eda-D\u00edaz","raw_affiliation_strings":["Universidade de Santiago de Compostela, Santiago de Compostela, Spain"],"raw_orcid":"https://orcid.org/0000-0001-5965-9238","affiliations":[{"raw_affiliation_string":"Universidade de Santiago de Compostela, Santiago de Compostela, Spain","institution_ids":["https://openalex.org/I200284239"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056902042","display_name":"Xos\u00e9 R. Fdez-Vidal","orcid":"https://orcid.org/0000-0001-9388-7461","observed_orcids":["https://orcid.org/0000-0001-9388-7461"]},"institutions":[{"id":"https://openalex.org/I200284239","display_name":"Universidade de Santiago de Compostela","ror":"https://ror.org/030eybx10","country_code":"ES","type":"education","lineage":["https://openalex.org/I200284239"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Xos\u00e9 R. Fdez-Vidal","raw_affiliation_strings":["Universidade de Santiago de Compostela, Santiago de Compostela, Spain"],"raw_orcid":"https://orcid.org/0000-0001-9388-7461","affiliations":[{"raw_affiliation_string":"Universidade de Santiago de Compostela, Santiago de Compostela, Spain","institution_ids":["https://openalex.org/I200284239"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072735859","display_name":"Xos\u00e9 M. Pardo","orcid":"https://orcid.org/0000-0002-3997-5150","observed_orcids":["https://orcid.org/0000-0002-3997-5150"]},"institutions":[{"id":"https://openalex.org/I200284239","display_name":"Universidade de Santiago de Compostela","ror":"https://ror.org/030eybx10","country_code":"ES","type":"education","lineage":["https://openalex.org/I200284239"]},{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Xos\u00e9 M. Pardo","raw_affiliation_strings":["Universidad Polit\u00e9cnica de Valencia","Universidade de Santiago de Compostela"],"raw_orcid":"https://orcid.org/0000-0002-3997-5150","affiliations":[{"raw_affiliation_string":"Universidad Polit\u00e9cnica de Valencia","institution_ids":["https://openalex.org/I60053951"]},{"raw_affiliation_string":"Universidade de Santiago de Compostela","institution_ids":["https://openalex.org/I200284239"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.00089501,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"2","issue":null,"first_page":"681","last_page":"686"},"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":0.9961000084877014,"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":0.9961000084877014,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.0015999999595806003,"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":0.001500000013038516,"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/scene-classification","display_name":"scene classification","score":0.9990000128746033},{"id":"https://openalex.org/keywords/visual-attention","display_name":"visual attention","score":0.9020000100135803},{"id":"https://openalex.org/keywords/bottom-up-saliency","display_name":"bottom-up saliency","score":0.984000027179718},{"id":"https://openalex.org/keywords/saliency-maps","display_name":"saliency maps","score":0.8090000152587891},{"id":"https://openalex.org/keywords/visual-landmarks","display_name":"visual landmarks","score":0.9829999804496765},{"id":"https://openalex.org/keywords/local-binary-pattern-histogram","display_name":"local binary pattern histogram","score":0.9430000185966492},{"id":"https://openalex.org/keywords/nearest-neighbor-classification","display_name":"nearest neighbor classification","score":0.9240000247955322},{"id":"https://openalex.org/keywords/prototype-reduction","display_name":"prototype reduction","score":0.8399999737739563},{"id":"https://openalex.org/keywords/robot-navigation","display_name":"robot navigation","score":0.8970000147819519}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8073549270629883},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7330026626586914},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.7028482556343079},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.6995948553085327},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6369048357009888},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.62726891040802},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.546516478061676},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5290507078170776},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.492255836725235},{"id":"https://openalex.org/C2779662243","wikidata":"https://www.wikidata.org/wiki/Q970395","display_name":"Shape context","level":3,"score":0.47349032759666443},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4297243058681488},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3610188364982605},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1562429964542389},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13052710890769958},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:19595231","doi":null,"is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/ipcv/ipcv2010.html#Lopez-GarciaGFP10","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Image Processing","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1869908504","https://openalex.org/W2128272608","https://openalex.org/W2137484966","https://openalex.org/W2151103935","https://openalex.org/W2164137768"],"related_works":["https://openalex.org/W1824802235","https://openalex.org/W2258634295","https://openalex.org/W2389596861","https://openalex.org/W2025473941","https://openalex.org/W2401349847","https://openalex.org/W2156142145","https://openalex.org/W7098257134","https://openalex.org/W2166089260","https://openalex.org/W2911014469","https://openalex.org/W2013490087"],"abstract_inverted_index":{"We":[0,58],"consider":[1],"the":[2,8,30,43,49,70,94,111,114],"task":[3],"of":[4,10,20,45,72,91,113,116],"scene":[5],"recognition,":[6],"in":[7,42,110,122],"context":[9],"a":[11,16,61],"robot-like":[12],"navigation":[13],"application,":[14],"using":[15,55],"visual":[17,27,66],"attention":[18],"model":[19,71],"bottom-up":[21,73],"saliency,":[22],"invariant":[23],"local":[24,83,89],"features":[25,101],"and":[26,29,79],"landmarks,":[28],"Nearest":[31],"Neighbor":[32],"rule":[33],"for":[34],"classification.":[35],"Experimental":[36],"work":[37],"shows":[38],"that":[39,68],"important":[40],"reductions":[41,109],"number":[44],"prototypes":[46],"used":[47],"by":[48,102],"NN":[50],"classifier":[51],"can":[52],"be":[53],"achieved":[54],"saliency":[56,74],"maps.":[57],"also":[59],"present":[60],"novel":[62],"approach":[63,98],"to":[64,75,87],"extract":[65],"landmarks":[67],"uses":[69],"localize":[76],"interest":[77],"points,":[78],"color":[80],"centiles":[81],"plus":[82],"binary":[84],"pattern":[85],"histograms":[86],"collect":[88],"description":[90],"them.":[92],"In":[93],"experiments,":[95],"this":[96],"later":[97],"outperforms":[99],"SIFT":[100],"achieving":[103],"similar":[104],"recognition":[105],"results":[106],"but":[107],"further":[108],"size":[112],"database":[115],"prototypes,":[117],"thus":[118],"providing":[119],"bigger":[120],"savings":[121],"computational":[123],"costs.":[124]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-10-06T10:28:23.643775","created_date":"2016-06-24T00:00:00"}