{"id":"https://openalex.org/W87102187","doi":null,"title":"Semantic gap in CBIR: automatic objects spatial relationships semantic extraction and representation","display_name":"Semantic gap in CBIR: automatic objects spatial relationships semantic extraction and representation","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W87102187","mag":"87102187"},"language":"en","primary_location":{"id":"mag:87102187","doi":null,"is_oa":false,"landing_page_url":"http://eprints.utm.my/id/eprint/38414/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5073276587","display_name":"Hui Wang Hui","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hui Wang Hui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102250816","display_name":"Dzulkifli Mohamad","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dzulkifli Mohamad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5076231501","display_name":"Nor Azman Ismail","orcid":"https://orcid.org/0000-0003-1785-008X","observed_orcids":["https://orcid.org/0000-0003-1785-008X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nor Azman Ismail","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.6282,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.94255699,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9955999851226807,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9955999851226807,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.003100000089034438,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/semantic-gap","display_name":"semantic gap","score":0.8550000190734863},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"content-based image retrieval","score":0.9940000176429749},{"id":"https://openalex.org/keywords/semantic-representation","display_name":"semantic representation","score":0.5249999761581421},{"id":"https://openalex.org/keywords/line-detection","display_name":"line detection","score":0.574999988079071},{"id":"https://openalex.org/keywords/image-similarity","display_name":"image similarity","score":0.8169999718666077},{"id":"https://openalex.org/keywords/object-identification","display_name":"object identification","score":0.5839999914169312}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.734966516494751},{"id":"https://openalex.org/C27511587","wikidata":"https://www.wikidata.org/wiki/Q2178623","display_name":"Spatial relation","level":2,"score":0.7086687684059143},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6251375675201416},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6067276000976562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5982409119606018},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5784528255462646},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.5183064341545105},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.49079808592796326},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.4662802219390869},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4589129686355591},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4570595622062683},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4408242106437683},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4321069121360779},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38140541315078735},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3614451289176941},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3215950131416321},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1729682981967926},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:87102187","doi":null,"is_oa":false,"landing_page_url":"http://eprints.utm.my/id/eprint/38414/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W120635350","https://openalex.org/W1666447063","https://openalex.org/W1703030811","https://openalex.org/W1992479014","https://openalex.org/W2014790000","https://openalex.org/W2046589280","https://openalex.org/W2056840591","https://openalex.org/W2059186503","https://openalex.org/W2075258845","https://openalex.org/W2099473639","https://openalex.org/W2102029756","https://openalex.org/W2111993661","https://openalex.org/W2130660124","https://openalex.org/W2133246412","https://openalex.org/W2137918516","https://openalex.org/W2141444441","https://openalex.org/W2144407188","https://openalex.org/W2168593512","https://openalex.org/W2265394689","https://openalex.org/W2283195891"],"related_works":["https://openalex.org/W2119870839","https://openalex.org/W604850101","https://openalex.org/W2123238013","https://openalex.org/W2545852610","https://openalex.org/W2756627069","https://openalex.org/W2353952492","https://openalex.org/W2267792013","https://openalex.org/W2740024912","https://openalex.org/W4388683332","https://openalex.org/W2080938922"],"abstract_inverted_index":{"The":[0,115,144],"explosive":[1],"growth":[2],"of":[3,10,14,41,162],"image":[4,160],"data":[5],"leads":[6],"to":[7,24,29,38,120,153],"the":[8,39,42,63,122,159],"need":[9],"research":[11],"and":[12,28,49,79,156],"development":[13],"Image":[15,17],"retrieval.":[16],"retrieval":[18],"researches":[19],"are":[20,88,103,128,133],"moving":[21],"from":[22],"keyword,":[23],"low":[25,53,92],"level":[26,54,60,93],"features":[27,35,55,94],"semantic":[30,34,154,166],"features.":[31],"Drive":[32],"towards":[33],"is":[36,68,118,150],"due":[37],"problem":[40],"keywords":[43],"which":[44],"can":[45],"be":[46],"very":[47],"subjective":[48],"time":[50],"consuming":[51],"while":[52],"cannot":[56],"always":[57],"describe":[58],"high":[59],"concepts":[61,132],"in":[62,84,147],"users\u2019":[64],"mind.":[65],"This":[66],"paper":[67],"proposed":[69,98],"a":[70,106,112],"novel":[71],"technique":[72],"for":[73],"objects":[74,82,87,163],"spatial":[75,123,130,164],"relationships":[76,165],"semantics":[77],"extraction":[78,95],"representation":[80],"among":[81,125],"exists":[83],"images.":[85],"All":[86],"identified":[89],"based":[90],"on":[91],"integrated":[96],"with":[97,111],"line":[99],"detection":[100],"techniques.":[101],"Objects":[102],"represented":[104],"using":[105],"Minimum":[107],"Bound":[108],"Region":[109],"(MBR)":[110],"reference":[113,116],"coordinate.":[114],"coordinate":[117],"used":[119],"compute":[121],"relation":[124],"objects.":[126],"There":[127],"8":[129],"relationship":[131],"determined:":[134],"\u201cFront\u201d,":[135],"\u201cBack\u201d,":[136],"\u201cRight\u201d,":[137],"\u201cLeft\u201d,":[138],"\u201cRight-Front\u201d,":[139],"\u201cLeft-Front\u201d,":[140],"\u201cRight-Back\u201d,":[141],"\u201cLeft-Back\u201d":[142],"concept.":[143],"user":[145],"query":[146],"text":[148],"form":[149],"automatically":[151],"translated":[152],"meaning":[155],"representation.":[157],"Besides,":[158],"similarity":[161],"has":[167],"been":[168],"proposed.":[169]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T04:12:42.849631","created_date":"2016-06-24T00:00:00"}
