{"id":"https://openalex.org/W2164144805","doi":"https://doi.org/10.1109/igarss.2002.1025769","title":"Probabilistic retrieval with a visual grammar","display_name":"Probabilistic retrieval with a visual grammar","publication_year":2003,"publication_date":"2003-10-01","ids":{"openalex":"https://openalex.org/W2164144805","doi":"https://doi.org/10.1109/igarss.2002.1025769","mag":"2164144805"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2002.1025769","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2002.1025769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Geoscience and Remote Sensing Symposium","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/A5003826893","display_name":"Selim Aksoy","orcid":"https://orcid.org/0000-0003-4185-0565"},"institutions":[{"id":"https://openalex.org/I4210126054","display_name":"Strategic Insight (United States)","ror":"https://ror.org/0303r7956","country_code":"US","type":"company","lineage":["https://openalex.org/I4210126054"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Aksoy","raw_affiliation_strings":["Insightful Corporation, Seattle, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Insightful Corporation, Seattle, WA, USA","institution_ids":["https://openalex.org/I4210126054"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049009088","display_name":"Giovanni Marchisio","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126054","display_name":"Strategic Insight (United States)","ror":"https://ror.org/0303r7956","country_code":"US","type":"company","lineage":["https://openalex.org/I4210126054"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"G. Marchisio","raw_affiliation_strings":["Insightful Corporation, Seattle, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Insightful Corporation, Seattle, WA, USA","institution_ids":["https://openalex.org/I4210126054"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109431736","display_name":"K. Koperski","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126054","display_name":"Strategic Insight (United States)","ror":"https://ror.org/0303r7956","country_code":"US","type":"company","lineage":["https://openalex.org/I4210126054"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K. Koperski","raw_affiliation_strings":["Insightful Corporation, Seattle, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Insightful Corporation, Seattle, WA, USA","institution_ids":["https://openalex.org/I4210126054"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033026453","display_name":"Carsten Tusk","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126054","display_name":"Strategic Insight (United States)","ror":"https://ror.org/0303r7956","country_code":"US","type":"company","lineage":["https://openalex.org/I4210126054"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C. Tusk","raw_affiliation_strings":["Insightful Corporation, Seattle, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Insightful Corporation, Seattle, WA, USA","institution_ids":["https://openalex.org/I4210126054"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210126054"],"apc_list":null,"apc_paid":null,"fwci":0.7051,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.70480852,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"1041","last_page":"1043"},"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":0.9994000196456909,"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/T11439","display_name":"Video Analysis and Summarization","score":0.972100019454956,"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":0.8432022333145142},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6636074185371399},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6508305668830872},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5745945572853088},{"id":"https://openalex.org/keywords/grammar","display_name":"Grammar","score":0.5607208609580994},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5114942789077759},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.5100281834602356},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5003504753112793},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43442264199256897},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4170706868171692},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.415067195892334},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.3626686930656433},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1800658404827118}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8432022333145142},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6636074185371399},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6508305668830872},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5745945572853088},{"id":"https://openalex.org/C26022165","wikidata":"https://www.wikidata.org/wiki/Q8091","display_name":"Grammar","level":2,"score":0.5607208609580994},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5114942789077759},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.5100281834602356},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5003504753112793},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43442264199256897},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4170706868171692},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.415067195892334},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.3626686930656433},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1800658404827118},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss.2002.1025769","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2002.1025769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.717.7914","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.717.7914","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.bilkent.edu.tr/%7Esaksoy/papers/igarss02_visual_grammar.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1848112359","https://openalex.org/W2138973109","https://openalex.org/W2153744498"],"related_works":["https://openalex.org/W2063218608","https://openalex.org/W4386105885","https://openalex.org/W2947282851","https://openalex.org/W2184288218","https://openalex.org/W2071180033","https://openalex.org/W2374066281","https://openalex.org/W4387423606","https://openalex.org/W155590726","https://openalex.org/W2147874738","https://openalex.org/W2528082075"],"abstract_inverted_index":{"We":[0,80],"describe":[1],"a":[2,50],"system":[3,13,83],"for":[4],"content-based":[5],"retrieval":[6],"and":[7,19,29,33,61,106],"classification":[8],"of":[9,41,58,63],"multispectral":[10],"images.":[11],"Our":[12],"models":[14],"images":[15],"on":[16,77],"pixel,":[17],"region":[18,59,93],"scene":[20,95],"levels.":[21],"To":[22],"reduce":[23],"the":[24,100],"gap":[25],"between":[26],"low-level":[27],"features":[28],"highlevel":[30],"user":[31],"semantics,":[32],"to":[34,72],"support":[35],"complex":[36],"query":[37,85],"scenarios":[38,86],"that":[39,54,87],"consist":[40],"many":[42],"regions":[43],"with":[44,84],"different":[45],"feature":[46],"characteristics,":[47],"we":[48],"propose":[49],"probabilistic":[51],"visual":[52,101],"grammar":[53,102],"includes":[55],"automatic":[56],"identification":[57],"prototypes":[60],"modeling":[62],"their":[64],"spatial":[65],"relationships.":[66],"A":[67],"Bayesian":[68],"framework":[69],"is":[70],"used":[71],"automatically":[73],"classify":[74],"scenes":[75],"based":[76],"these":[78],"models.":[79],"demonstrate":[81],"our":[82],"cannot":[88],"be":[89],"expressed":[90],"by":[91],"traditional":[92],"or":[94],"level":[96],"approaches":[97],"but":[98],"where":[99],"provides":[103],"accurate":[104],"classifications":[105],"effective":[107],"retrieval.":[108]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}