{"id":"https://openalex.org/W3208756050","doi":"https://doi.org/10.1007/s41095-021-0226-8","title":"Visual perception driven collage synthesis","display_name":"Visual perception driven collage synthesis","publication_year":2021,"publication_date":"2021-10-27","ids":{"openalex":"https://openalex.org/W3208756050","doi":"https://doi.org/10.1007/s41095-021-0226-8","mag":"3208756050"},"language":"en","primary_location":{"id":"doi:10.1007/s41095-021-0226-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-021-0226-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-021-0226-8.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1007/s41095-021-0226-8.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055634479","display_name":"Zuyi Yang","orcid":"https://orcid.org/0000-0001-7677-0093"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zuyi Yang","raw_affiliation_strings":["Department of Artificial Intelligence, Xiamen University, Xiamen 361005, China","Department of Artificial Intelligence, Xiamen University, Xiamen, 361005, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Xiamen University, Xiamen 361005, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Department of Artificial Intelligence, Xiamen University, Xiamen, 361005, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009684596","display_name":"Qinghui Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghui Dai","raw_affiliation_strings":["Department of Artificial Intelligence, Xiamen University, Xiamen 361005, China","Department of Artificial Intelligence, Xiamen University, Xiamen, 361005, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Xiamen University, Xiamen 361005, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Department of Artificial Intelligence, Xiamen University, Xiamen, 361005, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101641469","display_name":"Junsong Zhang","orcid":"https://orcid.org/0000-0002-7715-5006"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junsong Zhang","raw_affiliation_strings":["Department of Artificial Intelligence, Xiamen University, Xiamen 361005, China","Department of Artificial Intelligence, Xiamen University, Xiamen, 361005, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Xiamen University, Xiamen 361005, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Department of Artificial Intelligence, Xiamen University, Xiamen, 361005, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101641469"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.2722,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.52610329,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"8","issue":"1","first_page":"79","last_page":"91"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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"}},"topics":[{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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/T10531","display_name":"Advanced Vision and Imaging","score":0.995199978351593,"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":0.993399977684021,"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":0.7297695875167847},{"id":"https://openalex.org/keywords/gestalt-psychology","display_name":"Gestalt psychology","score":0.6247251629829407},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5872652530670166},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48499104380607605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4792242646217346},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4546908736228943},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.430433988571167},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4301660656929016},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4148328900337219}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7297695875167847},{"id":"https://openalex.org/C27362006","wikidata":"https://www.wikidata.org/wiki/Q272021","display_name":"Gestalt psychology","level":3,"score":0.6247251629829407},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5872652530670166},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48499104380607605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4792242646217346},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4546908736228943},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.430433988571167},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4301660656929016},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4148328900337219},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s41095-021-0226-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-021-0226-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-021-0226-8.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1455912402c742f0aabcb08ec8aed654","is_oa":true,"landing_page_url":"https://doaj.org/article/1455912402c742f0aabcb08ec8aed654","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":"Computational Visual Media, Vol 8, Iss 1, Pp 79-91 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s41095-021-0226-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-021-0226-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-021-0226-8.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6050815528","display_name":null,"funder_award_id":"61772440","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3208756050.pdf","grobid_xml":"https://content.openalex.org/works/W3208756050.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1510835000","https://openalex.org/W1560764271","https://openalex.org/W1895638139","https://openalex.org/W1895722194","https://openalex.org/W2005770330","https://openalex.org/W2007467653","https://openalex.org/W2021018251","https://openalex.org/W2029410511","https://openalex.org/W2032699694","https://openalex.org/W2035390289","https://openalex.org/W2052487048","https://openalex.org/W2063572631","https://openalex.org/W2080933812","https://openalex.org/W2199142516","https://openalex.org/W2242674931","https://openalex.org/W2559326682","https://openalex.org/W2612976524","https://openalex.org/W2770212906","https://openalex.org/W2793338810","https://openalex.org/W2811499654","https://openalex.org/W2885105332","https://openalex.org/W3000271922","https://openalex.org/W4229971152"],"related_works":["https://openalex.org/W1593175091","https://openalex.org/W4313354065","https://openalex.org/W3039810647","https://openalex.org/W4327521413","https://openalex.org/W823300309","https://openalex.org/W2385281989","https://openalex.org/W2752358874","https://openalex.org/W2766800049","https://openalex.org/W4229754206","https://openalex.org/W2120175042"],"abstract_inverted_index":{"A":[0],"collage":[1,76],"is":[2],"a":[3,15,31,55,75,109,113,118,124,134,138,167,187],"composite":[4],"artwork":[5],"made":[6,26],"from":[7,18,143],"the":[8,19,85,88,104,144,148,152,173,182,191,195,200],"spatial":[9,44],"layout":[10,45,77],"of":[11,87,106,130,140],"multiple":[12],"pictures":[13,40],"on":[14,71],"canvas,":[16],"collected":[17],"Internet":[20],"or":[21],"user":[22,206],"photographs.":[23],"Collages,":[24],"usually":[25],"by":[27],"skilled":[28],"artists,":[29],"involve":[30],"complex":[32],"manual":[33],"process,":[34],"especially":[35],"when":[36],"searching":[37],"for":[38,60,121,127],"component":[39],"and":[41,123,151,162,177,205],"adjusting":[42],"their":[43],"to":[46,73,84,94,157,171,194,198],"meet":[47],"artistic":[48],"requirements.":[49],"In":[50],"this":[51,100,211],"paper,":[52],"we":[53,69,102],"present":[54],"visual":[56,96,215],"perception":[57],"driven":[58],"method":[59,212],"automatically":[61],"synthesizing":[62],"visually":[63,175],"pleasing":[64,176,216],"collages.":[65,217],"Unlike":[66],"previous":[67],"works,":[68],"focus":[70],"how":[72],"design":[74],"which":[78],"not":[79],"only":[80],"provides":[81],"easy":[82],"access":[83],"theme":[86],"overall":[89],"image,":[90,115,146],"but":[91],"also":[92],"conforms":[93],"human":[95],"perception.":[97],"To":[98],"achieve":[99],"goal,":[101],"formulate":[103],"generation":[105],"collages":[107],"as":[108,181],"mapping":[110],"problem:":[111],"given":[112],"canvas":[114,145],"first,":[116],"compute":[117],"saliency":[119],"map":[120,150,190],"it":[122],"vector":[125,153],"field":[126,154],"each":[128,159],"sub-region":[129],"it.":[131],"Second,":[132],"using":[133,186],"divide-and-conquer":[135],"strategy,":[136],"generate":[137,199,214],"series":[139],"patch":[141,179,196],"sets":[142],"where":[147],"salient":[149],"are":[155],"used":[156],"determine":[158],"patch\u2019s":[160],"size":[161],"direction":[163],"respectively.":[164],"Third,":[165],"construct":[166],"Gestalt-based":[168],"energy":[169],"function":[170],"choose":[172],"most":[174],"orderly":[178],"set":[180,193,197],"final":[183,201],"layout.":[184],"Finally,":[185],"semantic-color":[188],"metric,":[189],"picture":[192],"collage.":[202],"Extensive":[203],"experimental":[204],"study":[207],"results":[208],"show":[209],"that":[210],"can":[213]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
