{"id":"https://openalex.org/W2091266204","doi":"https://doi.org/10.1117/12.2004733","title":"Coherent image layout using an adaptive visual vocabulary","display_name":"Coherent image layout using an adaptive visual vocabulary","publication_year":2013,"publication_date":"2013-03-06","ids":{"openalex":"https://openalex.org/W2091266204","doi":"https://doi.org/10.1117/12.2004733","mag":"2091266204"},"language":"en","primary_location":{"id":"doi:10.1117/12.2004733","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2004733","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"type":"conference-paper","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/A5111935550","display_name":"Scott Dillard","orcid":null},"institutions":[{"id":"https://openalex.org/I142606810","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307","country_code":"US","type":"facility","lineage":["https://openalex.org/I1325736334","https://openalex.org/I1330989302","https://openalex.org/I142606810","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Scott E. Dillard","raw_affiliation_strings":["Pacific Northwest National Lab. (United States)","Pacific Northwest National Laboratories, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pacific Northwest National Lab. (United States)","institution_ids":["https://openalex.org/I142606810"]},{"raw_affiliation_string":"Pacific Northwest National Laboratories, United States","institution_ids":["https://openalex.org/I142606810"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111722902","display_name":"Michael J. Henry","orcid":null},"institutions":[{"id":"https://openalex.org/I142606810","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307","country_code":"US","type":"facility","lineage":["https://openalex.org/I1325736334","https://openalex.org/I1330989302","https://openalex.org/I142606810","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael J. Henry","raw_affiliation_strings":["Pacific Northwest National Lab. (United States)","Pacific Northwest National Laboratories, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pacific Northwest National Lab. (United States)","institution_ids":["https://openalex.org/I142606810"]},{"raw_affiliation_string":"Pacific Northwest National Laboratories, United States","institution_ids":["https://openalex.org/I142606810"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110192503","display_name":"Shawn Bohn","orcid":null},"institutions":[{"id":"https://openalex.org/I142606810","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307","country_code":"US","type":"facility","lineage":["https://openalex.org/I1325736334","https://openalex.org/I1330989302","https://openalex.org/I142606810","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shawn Bohn","raw_affiliation_strings":["Pacific Northwest National Lab. (United States)","Pacific Northwest National Laboratories, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pacific Northwest National Lab. (United States)","institution_ids":["https://openalex.org/I142606810"]},{"raw_affiliation_string":"Pacific Northwest National Laboratories, United States","institution_ids":["https://openalex.org/I142606810"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050326979","display_name":"Luke Gosink","orcid":null},"institutions":[{"id":"https://openalex.org/I142606810","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307","country_code":"US","type":"facility","lineage":["https://openalex.org/I1325736334","https://openalex.org/I1330989302","https://openalex.org/I142606810","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luke J. Gosink","raw_affiliation_strings":["Pacific Northwest National Lab. (United States)","Pacific Northwest National Laboratories, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pacific Northwest National Lab. (United States)","institution_ids":["https://openalex.org/I142606810"]},{"raw_affiliation_string":"Pacific Northwest National Laboratories, United States","institution_ids":["https://openalex.org/I142606810"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I142606810"],"apc_list":null,"apc_paid":null,"fwci":0.2079,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49219871,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8661","issue":null,"first_page":"86610Q","last_page":"86610Q"},"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":0.9997000098228455,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9764000177383423,"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":0.8836078643798828},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.7565237283706665},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6186091899871826},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6153600811958313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5897823572158813},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5739116072654724},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5692349076271057},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.555457592010498},{"id":"https://openalex.org/keywords/tree-traversal","display_name":"Tree traversal","score":0.5425096750259399},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49598583579063416},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.4841611981391907},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.45343366265296936},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4437129497528076}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8836078643798828},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.7565237283706665},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6186091899871826},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6153600811958313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5897823572158813},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5739116072654724},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5692349076271057},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.555457592010498},{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.5425096750259399},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49598583579063416},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.4841611981391907},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.45343366265296936},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4437129497528076},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2004733","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2004733","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7699999809265137,"display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320306250","display_name":"Battelle","ror":"https://ror.org/01h5tnr73"},{"id":"https://openalex.org/F4320338354","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2136735429","https://openalex.org/W170547082","https://openalex.org/W2587876411","https://openalex.org/W2358332176","https://openalex.org/W4229950834","https://openalex.org/W4301044568","https://openalex.org/W1587123803","https://openalex.org/W2128075414","https://openalex.org/W2571039174","https://openalex.org/W2952867832"],"abstract_inverted_index":{"When":[0],"querying":[1],"a":[2,37,43,61,70,87,130,135,141,147,152,164,173,177],"huge":[3],"image":[4,75,107,124,167,189],"database":[5],"containing":[6],"millions":[7],"of":[8,12,20,34,40,73,82,111,166,180],"images,":[9],"the":[10,13,28,32,65,74,83,112,118,123],"result":[11],"query":[14],"may":[15],"still":[16],"contain":[17],"many":[18],"thousands":[19],"images":[21,41,51,181],"that":[22,48,171],"need":[23],"to":[24,27,53,101,151,176],"be":[25],"presented":[26],"user.":[29],"We":[30,155],"consider":[31],"problem":[33],"arranging":[35],"such":[36],"large":[38],"set":[39,76,125,179],"into":[42,86],"visually":[44],"coherent":[45],"layout,":[46],"one":[47],"places":[49],"similar":[50],"next":[52],"each":[54],"other.":[55],"Image":[56],"similarity":[57],"is":[58,67,115,120,134],"determined":[59],"using":[60,105],"bag-of-features":[62,113],"model,":[63],"and":[64,159,169,188],"layout":[66,91],"constructed":[68],"from":[69],"hierarchical":[71,186],"clustering":[72,158,187],"by":[77],"mapping":[78],"an":[79],"in-order":[80],"traversal":[81],"hierarchy":[84],"tree":[85],"space-filling":[88],"curve.":[89],"This":[90],"method":[92,114,143],"provides":[93],"strong":[94],"locality":[95],"guarantees":[96],"so":[97],"we":[98,139],"are":[99],"able":[100],"quantitatively":[102],"evaluate":[103,156],"performance":[104,183],"standard":[106],"retrieval":[108,190],"benchmarks.":[109],"Performance":[110],"best":[116],"when":[117],"vocabulary":[119,133,150,160,175],"learned":[121],"on":[122,163,184],"being":[126],"clustered.":[127],"Because":[128],"learning":[129],"large,":[131],"discriminative":[132],"computationally":[136],"demanding":[137],"task,":[138],"present":[140],"novel":[142],"for":[144],"efficiently":[145],"adapting":[146,172],"generic":[148,174],"visual":[149],"particular":[153,178],"dataset.":[154],"our":[157],"adaptation":[161],"methods":[162],"variety":[165],"datasets":[168],"show":[170],"improves":[182],"both":[185],"tasks.":[191]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}