{"id":"https://openalex.org/W2792978140","doi":"https://doi.org/10.1109/ipta.2017.8310131","title":"Image retrieval based on saliency for urban image contents","display_name":"Image retrieval based on saliency for urban image contents","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2792978140","doi":"https://doi.org/10.1109/ipta.2017.8310131","mag":"2792978140"},"language":"en","primary_location":{"id":"doi:10.1109/ipta.2017.8310131","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2017.8310131","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA)","raw_type":"proceedings-article"},"type":"preprint","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/A5007632668","display_name":"Kamel Guissous","orcid":null},"institutions":[{"id":"https://openalex.org/I1327553481","display_name":"Institut national de l\u2019information g\u00e9ographique et foresti\u00e8re","ror":"https://ror.org/05jxfge78","country_code":"FR","type":"government","lineage":["https://openalex.org/I1327553481"]},{"id":"https://openalex.org/I2800365227","display_name":"Paris-Est Sup","ror":"https://ror.org/0268ecp52","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800365227"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Kamel Guissous","raw_affiliation_strings":["University Paris-Est, LASTIG MATIS, IGN, ENSG, Saint-Mande, France","LaSTIG - Laboratoire des Sciences et Technologies de l'Information G\u00e9ographique (France)"],"affiliations":[{"raw_affiliation_string":"University Paris-Est, LASTIG MATIS, IGN, ENSG, Saint-Mande, France","institution_ids":["https://openalex.org/I2800365227"]},{"raw_affiliation_string":"LaSTIG - Laboratoire des Sciences et Technologies de l'Information G\u00e9ographique (France)","institution_ids":["https://openalex.org/I1327553481"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041561153","display_name":"Val\u00e9rie Gouet-Brunet","orcid":"https://orcid.org/0000-0003-3666-5146"},"institutions":[{"id":"https://openalex.org/I1327553481","display_name":"Institut national de l\u2019information g\u00e9ographique et foresti\u00e8re","ror":"https://ror.org/05jxfge78","country_code":"FR","type":"government","lineage":["https://openalex.org/I1327553481"]},{"id":"https://openalex.org/I2800365227","display_name":"Paris-Est Sup","ror":"https://ror.org/0268ecp52","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800365227"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Valerie Gouet-Brunet","raw_affiliation_strings":["University Paris-Est, LASTIG MATIS, IGN, ENSG, Saint-Mande, France","LaSTIG - Laboratoire des Sciences et Technologies de l'Information G\u00e9ographique (France)"],"affiliations":[{"raw_affiliation_string":"University Paris-Est, LASTIG MATIS, IGN, ENSG, Saint-Mande, France","institution_ids":["https://openalex.org/I2800365227"]},{"raw_affiliation_string":"LaSTIG - Laboratoire des Sciences et Technologies de l'Information G\u00e9ographique (France)","institution_ids":["https://openalex.org/I1327553481"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5007632668"],"corresponding_institution_ids":["https://openalex.org/I1327553481","https://openalex.org/I2800365227"],"apc_list":null,"apc_paid":null,"fwci":0.2775,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66850134,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"260","issue":null,"first_page":"1","last_page":"6"},"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/T11605","display_name":"Visual Attention and Saliency Detection","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":0.9987000226974487,"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":0.8017724752426147},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.7775413990020752},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6573781967163086},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6235031485557556},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.5744267106056213},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5741558074951172},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.572134792804718},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5711811184883118},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5172103643417358},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5145151615142822},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.49433374404907227},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4479861557483673},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3840082883834839},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10204899311065674}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8017724752426147},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.7775413990020752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6573781967163086},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6235031485557556},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.5744267106056213},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5741558074951172},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.572134792804718},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5711811184883118},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5172103643417358},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5145151615142822},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.49433374404907227},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4479861557483673},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3840082883834839},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10204899311065674},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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":2,"locations":[{"id":"doi:10.1109/ipta.2017.8310131","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2017.8310131","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-02338307v1","is_oa":false,"landing_page_url":"https://hal.science/hal-02338307","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA), Nov 2017, Montreal, France. pp.1-6, &#x27E8;10.1109/IPTA.2017.8310131&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W130604645","https://openalex.org/W1497953515","https://openalex.org/W1556531089","https://openalex.org/W1556546299","https://openalex.org/W1677409904","https://openalex.org/W1967431743","https://openalex.org/W2008066834","https://openalex.org/W2032256331","https://openalex.org/W2034924327","https://openalex.org/W2042097483","https://openalex.org/W2042316011","https://openalex.org/W2057886711","https://openalex.org/W2063608179","https://openalex.org/W2064365034","https://openalex.org/W2068194118","https://openalex.org/W2074616067","https://openalex.org/W2099772602","https://openalex.org/W2111993661","https://openalex.org/W2127707449","https://openalex.org/W2128137981","https://openalex.org/W2128272608","https://openalex.org/W2131152532","https://openalex.org/W2133589685","https://openalex.org/W2135957164","https://openalex.org/W2139047169","https://openalex.org/W2146103513","https://openalex.org/W2148809531","https://openalex.org/W2149095485","https://openalex.org/W2151103935","https://openalex.org/W2151191711","https://openalex.org/W2152404873","https://openalex.org/W2159128662","https://openalex.org/W2160072137","https://openalex.org/W2161969291","https://openalex.org/W2164084182","https://openalex.org/W2164720308","https://openalex.org/W2166650627","https://openalex.org/W2172188317","https://openalex.org/W2203037538","https://openalex.org/W2283283146","https://openalex.org/W2539948903","https://openalex.org/W2613373931","https://openalex.org/W4205398292","https://openalex.org/W4300894699","https://openalex.org/W6637400245","https://openalex.org/W6679244863","https://openalex.org/W6680437723","https://openalex.org/W6680614221"],"related_works":["https://openalex.org/W2130409173","https://openalex.org/W2746816529","https://openalex.org/W2024252608","https://openalex.org/W2534459178","https://openalex.org/W3201443322","https://openalex.org/W2031096531","https://openalex.org/W2342735177","https://openalex.org/W2798760230","https://openalex.org/W2328992539","https://openalex.org/W826460979"],"abstract_inverted_index":{"With":[0],"the":[1,28,40,43,49,62,68,71,75,94,106,111],"increase":[2],"of":[3,8,30,38,45,51,70,110,124,139,142,159],"image":[4,72,97,171],"datasets":[5],"size":[6],"and":[7,16,145,173],"descriptors":[9],"complexity":[10],"in":[11,82],"Content-Based":[12],"Image":[13],"Retrieval":[14],"(CBIR)":[15],"Computer":[17],"Vision,":[18],"it":[19,164],"is":[20,53,127,130,165],"essential":[21],"to":[22,26,57,87,92,116,135],"find":[23],"a":[24,54,79],"way":[25],"limit":[27],"amount":[29],"manipulated":[31,143],"data,":[32],"while":[33],"keeping":[34],"its":[35],"quality.":[36],"Instead":[37],"treating":[39],"entire":[41],"image,":[42],"selection":[44],"regions":[46],"which":[47,73],"hold":[48],"essence":[50],"information":[52],"relevant":[55],"option":[56],"reach":[58],"this":[59,83],"goal.":[60],"As":[61],"visual":[63,89,101,161],"saliency":[64,90,102],"aims":[65],"at":[66],"highlighting":[67],"areas":[69],"are":[74],"most":[76,95],"important":[77],"for":[78,132],"given":[80],"task,":[81],"paper":[84],"we":[85],"propose":[86],"exploit":[88],"maps":[91],"prune":[93],"salient":[96],"features.":[98],"A":[99],"novel":[100],"approach":[103],"based":[104],"on":[105],"local":[107,160],"distribution":[108],"analysis":[109],"edges":[112],"orientation,":[113],"particularly":[114],"dedicated":[115],"structured":[117],"contents,":[118],"such":[119],"as":[120],"street":[121],"view":[122],"images":[123],"urban":[125],"environments,":[126],"proposed.":[128],"It":[129],"evaluated":[131],"CBIR":[133],"according":[134],"three":[136],"criteria:":[137],"quality":[138],"retrieval,":[140],"volume":[141],"features":[144],"computation":[146],"time.":[147],"The":[148],"proposal":[149],"can":[150],"be":[151],"exploited":[152],"into":[153],"various":[154],"applications":[155],"involving":[156],"large":[157],"sets":[158],"features;":[162],"here":[163],"experimented":[166],"within":[167],"two":[168],"applications:":[169],"cross-domain":[170],"retrieval":[172],"image-based":[174],"vehicle":[175],"localisation.":[176]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}
