{"id":"https://openalex.org/W4311250073","doi":"https://doi.org/10.1145/3550082.3564169","title":"Language-driven Diversified Image Retargeting","display_name":"Language-driven Diversified Image Retargeting","publication_year":2022,"publication_date":"2022-12-06","ids":{"openalex":"https://openalex.org/W4311250073","doi":"https://doi.org/10.1145/3550082.3564169"},"language":"en","primary_location":{"id":"doi:10.1145/3550082.3564169","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3550082.3564169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH Asia 2022 Posters","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/A5007968602","display_name":"Rui Wang","orcid":"https://orcid.org/0000-0002-5969-0478"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Rui Wang","raw_affiliation_strings":["Jilin Univerisity, China"],"affiliations":[{"raw_affiliation_string":"Jilin Univerisity, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081580834","display_name":"Nisha Huang","orcid":"https://orcid.org/0000-0002-1627-6584"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nisha Huang","raw_affiliation_strings":["Institute of Automation, Chinese Academy Of Sciences, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy Of Sciences, China","institution_ids":["https://openalex.org/I4210112150"]}]},{"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/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Tang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"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/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiming Dong","raw_affiliation_strings":["Institute of Automation, Chinese Academy Of Sciences, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy Of Sciences, China","institution_ids":["https://openalex.org/I4210112150"]}]},{"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, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Cheng Kung University, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5007968602"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2038,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49613199,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"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":0.9991999864578247,"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":0.9980000257492065,"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":0.9581772089004517},{"id":"https://openalex.org/keywords/seam-carving","display_name":"Seam carving","score":0.8689910173416138},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7756848335266113},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7219712734222412},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.618028998374939},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6177094578742981},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5656406283378601},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.554569661617279},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.522110104560852}],"concepts":[{"id":"https://openalex.org/C2780575108","wikidata":"https://www.wikidata.org/wiki/Q7316652","display_name":"Retargeting","level":2,"score":0.9581772089004517},{"id":"https://openalex.org/C23746413","wikidata":"https://www.wikidata.org/wiki/Q1141379","display_name":"Seam carving","level":3,"score":0.8689910173416138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7756848335266113},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7219712734222412},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.618028998374939},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6177094578742981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5656406283378601},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.554569661617279},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.522110104560852},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3550082.3564169","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3550082.3564169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH Asia 2022 Posters","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6000000238418579}],"awards":[{"id":"https://openalex.org/G4250990172","display_name":null,"funder_award_id":"111-2221-E-006-112-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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2080008265","https://openalex.org/W2887779050","https://openalex.org/W2897212698","https://openalex.org/W3091114462","https://openalex.org/W3103254230","https://openalex.org/W3135367836"],"related_works":["https://openalex.org/W2295013215","https://openalex.org/W2047755406","https://openalex.org/W4250433723","https://openalex.org/W2081282645","https://openalex.org/W2790269557","https://openalex.org/W4388821263","https://openalex.org/W2018765149","https://openalex.org/W1895742843","https://openalex.org/W2596972971","https://openalex.org/W2145475630"],"abstract_inverted_index":{"Content-aware":[0],"image":[1,7,41,62,71,112],"resizing":[2],"could":[3],"automatically":[4],"retarget":[5],"an":[6],"to":[8,23,49],"different":[9],"aspect":[10],"ratios":[11],"while":[12,76],"preserving":[13,77],"visually":[14],"salient":[15],"contents.":[16],"However,":[17],"it":[18],"is":[19,93],"difficult":[20],"for":[21],"users":[22,48],"interact":[24],"with":[25],"the":[26,31,47,51,60,70,73,78,98],"retargeting":[27,42,52,113],"process":[28,53],"and":[29,63,101],"control":[30,50],"results.":[32],"In":[33],"this":[34],"paper,":[35],"we":[36],"propose":[37],"a":[38,84,89],"language-driven":[39],"diversified":[40,111],"(LDIR)":[43],"method":[44],"that":[45,107],"allows":[46],"by":[54,81,95,115],"providing":[55],"additional":[56],"textual":[57],"descriptions.":[58],"Taking":[59],"original":[61],"user-provided":[64],"texts":[65],"as":[66],"inputs,":[67],"LDIR":[68,108],"retargets":[69],"into":[72],"desired":[74],"resolution":[75],"content":[79],"indicated":[80],"texts.":[82,116],"Following":[83],"self-play":[85],"reinforcement":[86],"learning":[87],"pipeline,":[88],"multimodel":[90],"reward":[91],"function":[92],"proposed":[94],"considering":[96],"both":[97],"visual":[99],"quality":[100],"language":[102],"guidance.":[103],"Preliminary":[104],"experiments":[105],"manifest":[106],"can":[109],"achieve":[110],"guided":[114]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
