{"id":"https://openalex.org/W2905260606","doi":"https://doi.org/10.1109/access.2018.2886597","title":"An Attribute-Based High-Level Image Representation for Scene Classification","display_name":"An Attribute-Based High-Level Image Representation for Scene Classification","publication_year":2018,"publication_date":"2018-12-13","ids":{"openalex":"https://openalex.org/W2905260606","doi":"https://doi.org/10.1109/access.2018.2886597","mag":"2905260606"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2886597","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2886597","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2886597","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100771830","display_name":"Wenhua Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhua Liu","raw_affiliation_strings":["Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1119-0431","affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010019122","display_name":"Yidong Li","orcid":"https://orcid.org/0000-0003-2965-6196"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yidong Li","raw_affiliation_strings":["Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2965-6196","affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060958969","display_name":"Qi Wu","orcid":"https://orcid.org/0000-0003-3631-256X"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"The University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Qi Wu","raw_affiliation_strings":["The University of Adelaide, Adelaide, SA, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Adelaide, Adelaide, SA, Australia","institution_ids":["https://openalex.org/I5681781"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.318,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.64317675,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"7","issue":null,"first_page":"4629","last_page":"4640"},"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":0.9994000196456909,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7336673140525818},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5988873243331909},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5318669080734253},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5105108022689819},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5097622275352478},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4962490200996399},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.49221959710121155}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7336673140525818},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5988873243331909},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5318669080734253},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5105108022689819},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5097622275352478},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4962490200996399},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.49221959710121155},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2886597","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2886597","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d71f998b2c5041ef8b02d6506a14ca48","is_oa":true,"landing_page_url":"https://doaj.org/article/d71f998b2c5041ef8b02d6506a14ca48","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 4629-4640 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2886597","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2886597","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1291880487","display_name":null,"funder_award_id":"2016JBM022","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7184713565","display_name":"\u9762\u5411\u4e91\u670d\u52a1\u6570\u636e\u53d1\u5e03\u7684\u7ed3\u6784\u533f\u540d\u5316\u9690\u79c1\u4fdd\u62a4\u673a\u5236\u7814\u7a76","funder_award_id":"61300175","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8054980585","display_name":null,"funder_award_id":"2017YJS045","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":85,"referenced_works":["https://openalex.org/W99353449","https://openalex.org/W166142785","https://openalex.org/W591046810","https://openalex.org/W1479789543","https://openalex.org/W1526295910","https://openalex.org/W1533861849","https://openalex.org/W1566135517","https://openalex.org/W1686810756","https://openalex.org/W1858383477","https://openalex.org/W1861492603","https://openalex.org/W1897761818","https://openalex.org/W1904365287","https://openalex.org/W1931639407","https://openalex.org/W1969616664","https://openalex.org/W1976329999","https://openalex.org/W2006603039","https://openalex.org/W2016361990","https://openalex.org/W2017615984","https://openalex.org/W2017814585","https://openalex.org/W2024197741","https://openalex.org/W2029793986","https://openalex.org/W2057175746","https://openalex.org/W2062033901","https://openalex.org/W2070792803","https://openalex.org/W2075830955","https://openalex.org/W2086866337","https://openalex.org/W2094173842","https://openalex.org/W2094618318","https://openalex.org/W2097208978","https://openalex.org/W2107034620","https://openalex.org/W2107698128","https://openalex.org/W2108598243","https://openalex.org/W2110628941","https://openalex.org/W2113855951","https://openalex.org/W2119853387","https://openalex.org/W2120626191","https://openalex.org/W2122528955","https://openalex.org/W2124386111","https://openalex.org/W2128532956","https://openalex.org/W2134670479","https://openalex.org/W2137881638","https://openalex.org/W2138826255","https://openalex.org/W2140406904","https://openalex.org/W2146022472","https://openalex.org/W2146803734","https://openalex.org/W2147625498","https://openalex.org/W2149298154","https://openalex.org/W2152161678","https://openalex.org/W2155284717","https://openalex.org/W2155893237","https://openalex.org/W2162915993","https://openalex.org/W2168356304","https://openalex.org/W2169177311","https://openalex.org/W2219747066","https://openalex.org/W2294624972","https://openalex.org/W2302086703","https://openalex.org/W2327671165","https://openalex.org/W2335901235","https://openalex.org/W2465570449","https://openalex.org/W2530739118","https://openalex.org/W2535410496","https://openalex.org/W2607768201","https://openalex.org/W2754674598","https://openalex.org/W2756172532","https://openalex.org/W2964018924","https://openalex.org/W3102084631","https://openalex.org/W6604084611","https://openalex.org/W6628729794","https://openalex.org/W6631943919","https://openalex.org/W6637373629","https://openalex.org/W6639102338","https://openalex.org/W6639118148","https://openalex.org/W6639694449","https://openalex.org/W6640036494","https://openalex.org/W6640169532","https://openalex.org/W6656630633","https://openalex.org/W6678144016","https://openalex.org/W6678145947","https://openalex.org/W6679792166","https://openalex.org/W6680357304","https://openalex.org/W6682725716","https://openalex.org/W6684872329","https://openalex.org/W6688548165","https://openalex.org/W6697253549","https://openalex.org/W6891831295"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W2795079307","https://openalex.org/W2793058541","https://openalex.org/W1983629434","https://openalex.org/W2055929693","https://openalex.org/W4324271173","https://openalex.org/W1967645776","https://openalex.org/W2352227742","https://openalex.org/W4390679071","https://openalex.org/W2546503577"],"abstract_inverted_index":{"Scene":[0],"classification":[1,148],"is":[2,89],"increasingly":[3],"popular":[4],"due":[5],"to":[6,31,40,91,133],"its":[7],"extensive":[8],"usage":[9],"in":[10,48],"many":[11],"real-world":[12],"applications":[13],"such":[14],"as":[15,66],"object":[16],"detection,":[17],"image":[18,27,60,64,77],"retrieval,":[19],"and":[20,118],"so":[21],"on.":[22],"Traditionally,":[23],"the":[24,33,73,110,114,119,126,139],"low-level":[25,115],"hand-crafted":[26],"representations":[28],"are":[29,78],"adopted":[30],"describe":[32],"scene":[34,69,122,140,147],"images.":[35],"However,":[36],"they":[37],"usually":[38],"fail":[39],"detect":[41],"semantic":[42],"features":[43,67],"of":[44,75,105,138],"visual":[45],"concepts,":[46],"especially":[47],"handling":[49],"complex":[50],"scenes.":[51],"In":[52],"this":[53],"paper,":[54],"we":[55,128],"propose":[56],"a":[57,82,93,131],"novel":[58],"high-level":[59],"representation":[61,117],"which":[62,88],"utilizes":[63],"attributes":[65,74,107],"for":[68],"classification.":[70],"More":[71],"specifically,":[72],"each":[76],"firstly":[79],"extracted":[80],"by":[81,96],"deep":[83],"convolution":[84],"neural":[85],"network":[86],"(CNN),":[87],"trained":[90],"be":[92],"multi-label":[94],"classifier":[95],"minimizing":[97],"an":[98],"element-wise":[99],"logistic":[100],"loss":[101],"function.":[102],"The":[103],"process":[104],"generating":[106],"can":[108],"reduce":[109],"\u201csemantic":[111],"gap\u201d":[112],"between":[113],"feature":[116],"high":[120],"level":[121],"meaning.":[123],"Based":[124],"on":[125,144],"attributes,":[127],"then":[129],"build":[130],"system":[132],"discover":[134],"semantically":[135],"meaningful":[136],"descriptions":[137],"classes.":[141],"Extensive":[142],"experiments":[143],"four":[145],"large-scale":[146],"datasets":[149],"show":[150],"that":[151],"our":[152],"proposed":[153],"algorithm":[154],"considerably":[155],"outperforms":[156],"other":[157],"state-of-the-art":[158],"methods.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
