{"id":"https://openalex.org/W2897212698","doi":"https://doi.org/10.1145/3240508.3240623","title":"Photo Squarization by Deep Multi-Operator Retargeting","display_name":"Photo Squarization by Deep Multi-Operator Retargeting","publication_year":2018,"publication_date":"2018-10-15","ids":{"openalex":"https://openalex.org/W2897212698","doi":"https://doi.org/10.1145/3240508.3240623","mag":"2897212698"},"language":"en","primary_location":{"id":"doi:10.1145/3240508.3240623","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240508.3240623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM international conference on Multimedia","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/A5112991848","display_name":"Yu Song","orcid":"https://orcid.org/0009-0000-8090-0938"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Song","raw_affiliation_strings":["Chinese Academy of Sciences &amp; University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences &amp; University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112699696","display_name":"Fan Tang","orcid":"https://orcid.org/0000-0002-3975-2483"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Tang","raw_affiliation_strings":["Chinese Academy of Sciences &amp; University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences &amp; University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069298091","display_name":"Weiming Dong","orcid":"https://orcid.org/0000-0001-6502-145X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiming Dong","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100667567","display_name":"Xiaopeng Zhang","orcid":"https://orcid.org/0000-0002-0092-6474"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaopeng Zhang","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036489223","display_name":"Oliver Deu\u00dfen","orcid":"https://orcid.org/0000-0001-5803-2185"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Oliver Deussen","raw_affiliation_strings":["VCC SIAT Shenzhen &amp; University of Konstanz, Konstanz, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VCC SIAT Shenzhen &amp; University of Konstanz, Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050657606","display_name":"Tong\u2010Yee Lee","orcid":"https://orcid.org/0000-0001-6699-2944"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tong-Yee Lee","raw_affiliation_strings":["National Cheng-Kung University, Tainan, Taiwan Roc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Cheng-Kung University, Tainan, Taiwan Roc","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1047","last_page":"1055"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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/T11605","display_name":"Visual Attention and Saliency Detection","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":0.9983999729156494,"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":0.9955000281333923,"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/retargeting","display_name":"Retargeting","score":0.7591338157653809},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7549206018447876},{"id":"https://openalex.org/keywords/thumbnail","display_name":"Thumbnail","score":0.750137209892273},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.7160528898239136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6523971557617188},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5736550688743591},{"id":"https://openalex.org/keywords/seam-carving","display_name":"Seam carving","score":0.5303186774253845},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5114158987998962},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.49577030539512634},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.4536624550819397},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43333128094673157},{"id":"https://openalex.org/keywords/visual-perception","display_name":"Visual perception","score":0.4130898118019104},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34473466873168945},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1176997721195221},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07430011034011841}],"concepts":[{"id":"https://openalex.org/C2780575108","wikidata":"https://www.wikidata.org/wiki/Q7316652","display_name":"Retargeting","level":2,"score":0.7591338157653809},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7549206018447876},{"id":"https://openalex.org/C160174412","wikidata":"https://www.wikidata.org/wiki/Q873806","display_name":"Thumbnail","level":3,"score":0.750137209892273},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.7160528898239136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6523971557617188},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5736550688743591},{"id":"https://openalex.org/C23746413","wikidata":"https://www.wikidata.org/wiki/Q1141379","display_name":"Seam carving","level":3,"score":0.5303186774253845},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5114158987998962},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.49577030539512634},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.4536624550819397},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43333128094673157},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.4130898118019104},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34473466873168945},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1176997721195221},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07430011034011841},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3240508.3240623","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240508.3240623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM international conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G392584324","display_name":null,"funder_award_id":"MOST-104- 2221- E-006-044-MY3","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1972735298","https://openalex.org/W2001070410","https://openalex.org/W2022164110","https://openalex.org/W2035214377","https://openalex.org/W2055307271","https://openalex.org/W2059925611","https://openalex.org/W2080008265","https://openalex.org/W2091089676","https://openalex.org/W2121674447","https://openalex.org/W2132610780","https://openalex.org/W2140262997","https://openalex.org/W2167322721","https://openalex.org/W2215027725","https://openalex.org/W2331991845","https://openalex.org/W2340803990","https://openalex.org/W2347050905","https://openalex.org/W2469668027","https://openalex.org/W2765903581","https://openalex.org/W2769421449","https://openalex.org/W2772783599","https://openalex.org/W2953384591","https://openalex.org/W2963312801","https://openalex.org/W2963722311","https://openalex.org/W3136413417","https://openalex.org/W3137241515","https://openalex.org/W4301045096","https://openalex.org/W6713134421"],"related_works":["https://openalex.org/W2391964058","https://openalex.org/W4250433723","https://openalex.org/W2295013215","https://openalex.org/W2047755406","https://openalex.org/W2081282645","https://openalex.org/W2790269557","https://openalex.org/W4391842896","https://openalex.org/W4388821263","https://openalex.org/W1484306649","https://openalex.org/W2145475630"],"abstract_inverted_index":{"Squared":[0],"forms":[1],"of":[2,15,61,106],"photos":[3],"are":[4,174],"widely":[5],"used":[6],"in":[7,77],"social":[8],"media":[9],"as":[10],"album":[11],"covers":[12],"or":[13],"thumbnails":[14],"image":[16,37,40],"streams.":[17],"In":[18],"this":[19],"study,":[20],"we":[21],"realize":[22],"photo":[23,166],"squarization":[24,167],"by":[25,91,111,152,170],"modeling":[26],"Retargeting":[27],"Visual":[28],"Perception":[29],"Issues,":[30],"which":[31],"reflect":[32],"human":[33,75,89,118,177],"perception":[34,107,119,122,179],"preference":[35],"toward":[36],"ratargeting.":[38],"General":[39],"retargeting":[41],"techniques":[42,72,115],"deal":[43],"with":[44,176],"three":[45,80,129],"common":[46],"issues,":[47,130],"namely,":[48],"salient":[49],"content,":[50],"object":[51],"shape,":[52],"and":[53,87,108,131,157],"scene":[54],"composition,":[55],"to":[56,73,94,97,116,139,148],"preserve":[57],"the":[58,79,125,128,132,136,171],"important":[59],"information":[60],"original":[62],"image.":[63],"We":[64,82,100],"propose":[65,101],"a":[66,84,102,140,154],"new":[67,85],"way":[68],"based":[69],"on":[70],"multi-operator":[71],"investigate":[74],"behavior":[76,90],"balancing":[78],"issues.":[81],"establish":[83],"dataset":[86],"observe":[88],"inviting":[92],"investigators":[93],"retarget":[95],"images":[96],"square":[98],"manually.":[99],"data-driven":[103],"approach":[104],"composed":[105],"distillation":[109,133],"modules":[110],"using":[112],"deep":[113,149],"learning":[114,150],"predict":[117],"preference.":[120],"The":[121],"part":[123,134],"learns":[124],"relations":[126,138],"among":[127],"transfers":[135],"learned":[137],"simple":[141],"but":[142],"effective":[143],"network.":[144],"Our":[145],"study":[146],"contributes":[147],"literature":[151],"optimizing":[153],"network":[155],"index":[156],"lightening":[158],"its":[159],"running":[160],"burden.":[161],"Experimental":[162],"results":[163,168],"show":[164],"that":[165],"generated":[169],"proposed":[172],"model":[173],"consistent":[175],"visual":[178],"results.":[180]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
