{"id":"https://openalex.org/W2495507670","doi":"https://doi.org/10.1145/2851613.2851633","title":"A graph theory-based online keywords model for image semantic extraction","display_name":"A graph theory-based online keywords model for image semantic extraction","publication_year":2016,"publication_date":"2016-04-04","ids":{"openalex":"https://openalex.org/W2495507670","doi":"https://doi.org/10.1145/2851613.2851633","mag":"2495507670"},"language":"en","primary_location":{"id":"doi:10.1145/2851613.2851633","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2851613.2851633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st Annual ACM Symposium on Applied Computing","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/A5100378492","display_name":"Jing Wang","orcid":"https://orcid.org/0000-0002-3375-6694"},"institutions":[{"id":"https://openalex.org/I133837150","display_name":"University of Huddersfield","ror":"https://ror.org/05t1h8f27","country_code":"GB","type":"education","lineage":["https://openalex.org/I133837150"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jing Wang","raw_affiliation_strings":["University of Huddersfield, Huddersfield, West Yorkshire, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Huddersfield, Huddersfield, West Yorkshire, UK","institution_ids":["https://openalex.org/I133837150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100745405","display_name":"Zhijie Xu","orcid":"https://orcid.org/0000-0002-0524-5926"},"institutions":[{"id":"https://openalex.org/I133837150","display_name":"University of Huddersfield","ror":"https://ror.org/05t1h8f27","country_code":"GB","type":"education","lineage":["https://openalex.org/I133837150"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhijie Xu","raw_affiliation_strings":["University of Huddersfield, Huddersfield, West Yorkshire, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Huddersfield, Huddersfield, West Yorkshire, UK","institution_ids":["https://openalex.org/I133837150"]}]}],"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":0,"citation_normalized_percentile":{"value":0.06500132,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"67","last_page":"72"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9976000189781189,"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":0.8591563701629639},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5932533144950867},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5592618584632874},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.5303143858909607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5078607201576233},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.5021607875823975},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.497800350189209},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45243245363235474},{"id":"https://openalex.org/keywords/web-page","display_name":"Web page","score":0.44910359382629395},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4451867938041687},{"id":"https://openalex.org/keywords/semantic-gap","display_name":"Semantic gap","score":0.4415857791900635},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43847358226776123},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4091525673866272},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.3421427607536316},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.14266958832740784},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.08703920245170593}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8591563701629639},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5932533144950867},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5592618584632874},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.5303143858909607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5078607201576233},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.5021607875823975},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.497800350189209},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45243245363235474},{"id":"https://openalex.org/C21959979","wikidata":"https://www.wikidata.org/wiki/Q36774","display_name":"Web page","level":2,"score":0.44910359382629395},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4451867938041687},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.4415857791900635},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43847358226776123},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4091525673866272},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.3421427607536316},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.14266958832740784},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.08703920245170593},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","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/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/2851613.2851633","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2851613.2851633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st Annual ACM Symposium on Applied Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.hud.ac.uk:26633","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401852","display_name":"University of Huddersfield Repository (University of Huddersfield)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I133837150","host_organization_name":"University of Huddersfield","host_organization_lineage":["https://openalex.org/I133837150"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Book Chapter"},{"id":"pmh:oai:shura.shu.ac.uk:18877","is_oa":false,"landing_page_url":"http://orcid.org/0000-0002-5418-0217>","pdf_url":null,"source":{"id":"https://openalex.org/S4306401600","display_name":"SHURA (Sheffield Hallam University Research Archive) (Sheffield Hallam University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I71422933","host_organization_name":"Sheffield Hallam University","host_organization_lineage":["https://openalex.org/I71422933"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:pure.atira.dk:publications/235fa323-2bf8-4ab7-82cd-2cde493cd4ca","is_oa":false,"landing_page_url":"http://eprints.hud.ac.uk/id/eprint/26633/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402508","display_name":"Huddersfield Research Portal (University of Huddersfield)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I133837150","host_organization_name":"University of Huddersfield","host_organization_lineage":["https://openalex.org/I133837150"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Wang, J & Xu, Z 2016, A graph theory-based online keywords model for image semantic extraction. in 2016 Symposium on Applied Computing, SAC 2016. Association for Computing Machinery (ACM), pp. 67-72, 31st Annual Association for Computing Machinery Symposium on Applied Computing, Pisa, Italy, 4/04/16. https://doi.org/10.1145/2851613.2851633","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W128995279","https://openalex.org/W1493490255","https://openalex.org/W1659833910","https://openalex.org/W1972671602","https://openalex.org/W1979492569","https://openalex.org/W1984118948","https://openalex.org/W2029295509","https://openalex.org/W2037227137","https://openalex.org/W2043504339","https://openalex.org/W2068737686","https://openalex.org/W2096810317","https://openalex.org/W2136684613","https://openalex.org/W2141691531","https://openalex.org/W2155613263","https://openalex.org/W2247412337"],"related_works":["https://openalex.org/W2172231696","https://openalex.org/W2089969684","https://openalex.org/W2002918846","https://openalex.org/W2503910294","https://openalex.org/W2393699422","https://openalex.org/W2384506582","https://openalex.org/W2034539438","https://openalex.org/W2750434199","https://openalex.org/W2168037874","https://openalex.org/W2135728080"],"abstract_inverted_index":{"Image":[0],"captions":[1],"and":[2,27,34,49,129,146,175],"keywords":[3,21],"are":[4,125],"the":[5,9,44,50,63,89,99,115,118,153,158],"semantic":[6,51,71,132],"descriptions":[7],"of":[8,53,79,110,121,136,160],"dominant":[10],"visual":[11,17,64,112],"content":[12,120],"features":[13,113],"in":[14],"a":[15],"targeted":[16],"scene.":[18],"Traditional":[19],"image":[20,55,70,81],"extraction":[22],"processes":[23],"involves":[24],"intensive":[25],"data-":[26],"knowledge-level":[28],"operations":[29],"by":[30,60],"using":[31,148],"computer":[32],"vision":[33],"machine":[35],"learning":[36],"techniques.":[37],"However,":[38],"recent":[39],"studies":[40],"have":[41,156],"shown":[42,172],"that":[43],"gap":[45],"between":[46],"pixel-level":[47],"processing":[48],"definition":[52],"an":[54],"is":[56],"difficult":[57],"to":[58],"bridge":[59],"counting":[61],"only":[62],"features.":[65],"In":[66],"this":[67,161],"paper,":[68],"augmented":[69],"information":[72],"has":[73,94,170],"been":[74,95],"introduced":[75],"through":[76],"harnessing":[77],"functions":[78],"online":[80,108],"search":[82],"engines.":[83],"A":[84],"graphical":[85],"model":[86],"named":[87],"as":[88],"\"Head-words":[90],"Relationship":[91],"Network\"":[92],"(HWRN)":[93],"devised":[96],"for":[97,131],"tackling":[98],"aforementioned":[100],"problems.":[101],"The":[102,134],"proposed":[103],"algorithm":[104],"starts":[105],"from":[106,114,139],"retrieving":[107],"images":[109],"similarly":[111],"input":[116],"image,":[117],"text":[119],"their":[122],"hosting":[123],"webpages":[124,141],"then":[126,143],"extracted,":[127],"classified":[128],"analysed":[130],"clues.":[133],"relationships":[135],"those":[137],"\"head-words\"":[138],"relevant":[140],"can":[142],"be":[144],"modelled":[145],"quantified":[147],"linguistic":[149],"tools.":[150],"Experiments":[151],"on":[152],"prototype":[154],"system":[155],"proven":[157],"effectiveness":[159],"novel":[162],"approach.":[163],"Performance":[164],"evaluation":[165],"over":[166],"benchmarking":[167],"state-of-the-art":[168],"approaches":[169],"also":[171],"satisfactory":[173],"results":[174],"promising":[176],"future":[177],"applications.":[178]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}