{"id":"https://openalex.org/W1480369142","doi":"https://doi.org/10.1109/icip.2003.1247170","title":"Image retrieval via connecting words to salient objects","display_name":"Image retrieval via connecting words to salient objects","publication_year":2004,"publication_date":"2004-06-03","ids":{"openalex":"https://openalex.org/W1480369142","doi":"https://doi.org/10.1109/icip.2003.1247170","mag":"1480369142"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2003.1247170","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2003.1247170","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)","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/A5037140642","display_name":"Andrea Kutics","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"A. Kutics","raw_affiliation_strings":["NTT Data Corporation Limited, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Data Corporation Limited, Tokyo, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109045955","display_name":"Akihiko Nakagawa","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"A. Nakagawa","raw_affiliation_strings":["NTT Data Corporation Limited, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Data Corporation Limited, Tokyo, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035636904","display_name":"Miki Nakajima","orcid":"https://orcid.org/0000-0001-5014-0448"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"M. Nakajima","raw_affiliation_strings":["NTT Data Corporation Limited, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Data Corporation Limited, Tokyo, Japan","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037140642"],"corresponding_institution_ids":["https://openalex.org/I2251713219"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.04598731,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"III","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":1.0,"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":1.0,"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":0.9997000098228455,"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":0.9940000176429749,"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":0.8091212511062622},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6726690530776978},{"id":"https://openalex.org/keywords/semantic-gap","display_name":"Semantic gap","score":0.6711178421974182},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6510054469108582},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6329869627952576},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.623334527015686},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.6084561347961426},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6082634925842285},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.560542106628418},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5432987213134766},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5231384038925171},{"id":"https://openalex.org/keywords/noun","display_name":"Noun","score":0.5125558376312256},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5008904933929443},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43907010555267334},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4191415011882782},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.41657111048698425},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.41262584924697876},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3958033621311188}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8091212511062622},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6726690530776978},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.6711178421974182},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6510054469108582},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6329869627952576},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.623334527015686},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.6084561347961426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6082634925842285},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.560542106628418},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5432987213134766},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5231384038925171},{"id":"https://openalex.org/C121934690","wikidata":"https://www.wikidata.org/wiki/Q1084","display_name":"Noun","level":2,"score":0.5125558376312256},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5008904933929443},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43907010555267334},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4191415011882782},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.41657111048698425},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.41262584924697876},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3958033621311188},{"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},{"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},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2003.1247170","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2003.1247170","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.699999988079071,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1505889224","https://openalex.org/W1660390307","https://openalex.org/W2011670903","https://openalex.org/W2011671268","https://openalex.org/W2038721957","https://openalex.org/W2098031085","https://openalex.org/W2117086609","https://openalex.org/W2122673410","https://openalex.org/W2130660124","https://openalex.org/W2150134853","https://openalex.org/W2167666412","https://openalex.org/W2181691731","https://openalex.org/W3020840689","https://openalex.org/W4235505822","https://openalex.org/W4285719527","https://openalex.org/W4317563424","https://openalex.org/W7011438494"],"related_works":["https://openalex.org/W2002918846","https://openalex.org/W2140369944","https://openalex.org/W2370180225","https://openalex.org/W2186394444","https://openalex.org/W2735794310","https://openalex.org/W2120663665","https://openalex.org/W2071180033","https://openalex.org/W2146107302","https://openalex.org/W2756529358","https://openalex.org/W2083396186"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,20,23,29,58,106],"problem":[4],"of":[5,60,67,96,105,123],"connecting":[6],"words":[7,124],"to":[8,18,47,71,79,91],"image":[9,13,52],"objects":[10,80],"for":[11],"efficient":[12],"retrieval.":[14],"Our":[15],"purpose":[16],"is":[17],"bridge":[19],"gap":[21],"between":[22],"user's":[24,107],"high-level":[25],"retrieval":[26,114],"semantics":[27,128],"and":[28,63,74,76,89,111,129,136],"results":[30,59],"obtained":[31],"from":[32],"objective":[33],"models":[34],"using":[35,82,119,132],"low-level":[36,68],"features.":[37],"The":[38],"proposed":[39],"method":[40],"uses":[41],"a":[42,49],"novel":[43],"multi-feature-based":[44],"diffusion":[45],"framework":[46],"obtain":[48],"region-based":[50],"visual":[51,69],"representation.":[53],"We":[54,85],"focus":[55],"on":[56],"exploring":[57],"psychophysical":[61],"studies,":[62],"propose":[64],"an":[65,120],"assignment":[66],"features":[70],"related":[72],"adjectives":[73],"nouns":[75],"connect":[77],"them":[78],"by":[81,118,131,139],"perceptual":[83],"clustering.":[84],"also":[86,130],"determine":[87],"concepts":[88],"categories":[90],"create":[92],"semantic":[93],"relations.":[94],"Evaluation":[95],"15,000":[97],"natural":[98],"images":[99],"shows":[100],"that":[101],"more":[102],"accurate":[103],"modeling":[104],"subjective":[108],"similarity":[109],"interpretation,":[110],"thus":[112],"higher":[113],"accuracy":[115],"was":[116],"achieved":[117],"additional":[121],"layer":[122],"representing":[125],"lower":[126],"level":[127],"various":[133],"searching":[134],"modes":[135],"options":[137],"supported":[138],"dynamically":[140],"generated":[141],"index":[142],"structures.":[143]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}