{"id":"https://openalex.org/W2065637301","doi":"https://doi.org/10.1109/icdma.2011.265","title":"Scene Classification Combining Low-level and Semantic Modeling Strategies","display_name":"Scene Classification Combining Low-level and Semantic Modeling Strategies","publication_year":2011,"publication_date":"2011-08-01","ids":{"openalex":"https://openalex.org/W2065637301","doi":"https://doi.org/10.1109/icdma.2011.265","mag":"2065637301"},"language":"en","primary_location":{"id":"doi:10.1109/icdma.2011.265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdma.2011.265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Second International Conference on Digital Manufacturing & Automation","raw_type":"proceedings-article"},"type":"article","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/A5100742873","display_name":"Li Zhou","orcid":"https://orcid.org/0000-0001-8554-0900"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Zhou","raw_affiliation_strings":["National University of Defense, Technology, ChangSha, China#TAB#"],"affiliations":[{"raw_affiliation_string":"National University of Defense, Technology, ChangSha, China#TAB#","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071074935","display_name":"Dewen Hu","orcid":"https://orcid.org/0000-0001-7357-0053"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dewen Hu","raw_affiliation_strings":["National University of Defense, Technology, ChangSha, China#TAB#"],"affiliations":[{"raw_affiliation_string":"National University of Defense, Technology, ChangSha, China#TAB#","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100742873"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.12696707,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1071","last_page":"1075"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9986000061035156,"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":0.9930999875068665,"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":0.795621395111084},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6035581231117249},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5776675343513489},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4463478922843933},{"id":"https://openalex.org/keywords/semantic-data-model","display_name":"Semantic data model","score":0.4189227819442749},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4005279242992401},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3229295611381531}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.795621395111084},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6035581231117249},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5776675343513489},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4463478922843933},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.4189227819442749},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4005279242992401},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3229295611381531},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdma.2011.265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdma.2011.265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Second International Conference on Digital Manufacturing & Automation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1566135517","https://openalex.org/W1985506318","https://openalex.org/W2040271314","https://openalex.org/W2104825706","https://openalex.org/W2107034620","https://openalex.org/W2112020727","https://openalex.org/W2113466552","https://openalex.org/W2115973703","https://openalex.org/W2125238156","https://openalex.org/W2125574651","https://openalex.org/W2126338813","https://openalex.org/W2132185185","https://openalex.org/W2146022472","https://openalex.org/W2162762921","https://openalex.org/W2162915993","https://openalex.org/W2163352848","https://openalex.org/W2166761907","https://openalex.org/W2172196609","https://openalex.org/W2532478580","https://openalex.org/W3120421331","https://openalex.org/W4237434670","https://openalex.org/W6676003440","https://openalex.org/W6679429597","https://openalex.org/W6728881802"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4224009465","https://openalex.org/W2938786841","https://openalex.org/W4306674287","https://openalex.org/W4286629047","https://openalex.org/W4205958290","https://openalex.org/W4384212932","https://openalex.org/W2982120024","https://openalex.org/W4390590544","https://openalex.org/W2949838322"],"abstract_inverted_index":{"Scene":[0],"classification":[1,28,45],"is":[2],"an":[3],"important":[4],"issue":[5],"in":[6],"the":[7,25,60],"field":[8],"of":[9,24],"computer":[10],"vision.":[11],"AltHough":[12],"considerable":[13],"progress":[14],"has":[15],"been":[16],"made,":[17],"it":[18],"remains":[19],"a":[20,42],"challenging":[21],"issue.":[22],"Most":[23],"current":[26],"scene":[27,44],"approaChes":[29],"are":[30],"based":[31,47],"on":[32,48],"either":[33],"low-level":[34,50],"or":[35],"semantic":[36,52],"modeLing":[37,53],"strategies.":[38,54],"This":[39],"paper":[40],"presents":[41],"novel":[43],"approach":[46,62],"combining":[49],"and":[51,71],"The":[55],"experimental":[56],"results":[57],"show":[58],"that":[59],"proposed":[61],"performs":[63],"competitively":[64],"against":[65],"previous":[66],"methods":[67],"across":[68],"three":[69],"pubLicly":[70],"commonly":[72],"used":[73],"data":[74],"sets.":[75]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}