{"id":"https://openalex.org/W4415539276","doi":"https://doi.org/10.1145/3746027.3755414","title":"Image Retargeting based on Text Region Awareness","display_name":"Image Retargeting based on Text Region Awareness","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W4415539276","doi":"https://doi.org/10.1145/3746027.3755414"},"language":null,"primary_location":{"id":"doi:10.1145/3746027.3755414","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755414","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","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/A5101975457","display_name":"Gang Pan","orcid":"https://orcid.org/0000-0003-2155-4689"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Pan","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-2155-4689","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Meihua Liu","orcid":"https://orcid.org/0009-0009-6165-5127"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meihua Liu","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0009-6165-5127","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100300668","display_name":"Zhou Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhou","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0003-9897-5091","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108891681","display_name":"Jiahao Wang","orcid":"https://orcid.org/0009-0000-5496-9720"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahao Wang","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0000-5496-9720","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101797290","display_name":"Di Sun","orcid":"https://orcid.org/0000-0003-2793-7066"},"institutions":[{"id":"https://openalex.org/I132369690","display_name":"Tianjin University of Science and Technology","ror":"https://ror.org/018rbtf37","country_code":"CN","type":"education","lineage":["https://openalex.org/I132369690"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Sun","raw_affiliation_strings":["College of Artificial Intelligence, Tianjin University of Science and Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-2793-7066","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Tianjin University of Science and Technology, Tianjin, China","institution_ids":["https://openalex.org/I132369690"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26060085,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"10113","last_page":"10121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9986000061035156,"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":0.9980000257492065,"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/seam-carving","display_name":"Seam carving","score":0.886900007724762},{"id":"https://openalex.org/keywords/retargeting","display_name":"Retargeting","score":0.7968999743461609},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6901000142097473},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5723000168800354},{"id":"https://openalex.org/keywords/legibility","display_name":"Legibility","score":0.5468999743461609},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5307000279426575},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44510000944137573},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.44449999928474426},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4065999984741211}],"concepts":[{"id":"https://openalex.org/C23746413","wikidata":"https://www.wikidata.org/wiki/Q1141379","display_name":"Seam carving","level":3,"score":0.886900007724762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8165000081062317},{"id":"https://openalex.org/C2780575108","wikidata":"https://www.wikidata.org/wiki/Q7316652","display_name":"Retargeting","level":2,"score":0.7968999743461609},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6901000142097473},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6866000294685364},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5723000168800354},{"id":"https://openalex.org/C2779332521","wikidata":"https://www.wikidata.org/wiki/Q1820694","display_name":"Legibility","level":2,"score":0.5468999743461609},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5307000279426575},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44510000944137573},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.44449999928474426},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.420199990272522},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4065999984741211},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40389999747276306},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.397599995136261},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.39160001277923584},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38940000534057617},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.365200012922287},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3508000075817108},{"id":"https://openalex.org/C98501671","wikidata":"https://www.wikidata.org/wiki/Q1948408","display_name":"Text segmentation","level":3,"score":0.34310001134872437},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34060001373291016},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.33469998836517334},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.3273000121116638},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.31369999051094055},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2825999855995178},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.27390000224113464},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.2736999988555908},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2648000121116638}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746027.3755414","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755414","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1972735298","https://openalex.org/W1979448415","https://openalex.org/W1982471090","https://openalex.org/W1985278165","https://openalex.org/W2080008265","https://openalex.org/W2102166818","https://openalex.org/W2132610780","https://openalex.org/W2153096898","https://openalex.org/W2558906385","https://openalex.org/W2746070923","https://openalex.org/W2887779050","https://openalex.org/W2963299604","https://openalex.org/W2966634466","https://openalex.org/W2970435399","https://openalex.org/W3009145072","https://openalex.org/W3049562662","https://openalex.org/W3091114462","https://openalex.org/W3120524049","https://openalex.org/W3136413417","https://openalex.org/W3137241515","https://openalex.org/W3152831436","https://openalex.org/W3204847940","https://openalex.org/W4385543874","https://openalex.org/W4385805020","https://openalex.org/W4389521380","https://openalex.org/W4403887335","https://openalex.org/W4407264049"],"related_works":[],"abstract_inverted_index":{"Image":[0,109],"retargeting":[1,142,216],"(IR)":[2],"with":[3,176],"text":[4,49,67,72,88,131,135,147,210],"regions":[5,52],"is":[6],"a":[7,97,104,125,183],"challenging":[8],"yet":[9],"underexplored":[10],"task":[11,32],"that":[12,100,129,204],"focuses":[13],"on":[14,182],"resizing":[15],"an":[16,114,155,177],"image's":[17,151],"aspect":[18],"ratio":[19],"while":[20],"preserving":[21],"both":[22,161],"semantic":[23,126,164],"objects":[24],"and":[25,50,108,163,212],"the":[26,44,56,77,150,171,195,205],"legibility":[27],"of":[28,58,79,173],"textual":[29,162],"content.":[30],"This":[31],"introduces":[33],"three":[34],"primary":[35],"challenges,":[36,93],"which":[37,186],"can":[38],"be":[39],"summarized":[40],"as":[41,103],"follows:":[42],"(1)":[43],"distinct":[45],"probability":[46],"distributions":[47],"between":[48],"non-text":[51],"in":[53,61,141],"images;":[54],"(2)":[55],"lack":[57],"dedicated":[59],"mechanisms":[60],"existing":[62],"IR":[63,85,102],"methods":[64],"for":[65,84,197],"handling":[66],"regions,":[68],"often":[69],"leading":[70],"to":[71,117,138,159],"distortion":[73],"or":[74],"blurring;":[75],"(3)":[76],"absence":[78,172],"paired":[80,174,198],"datasets":[81,175],"specifically":[82],"designed":[83,158],"tasks":[86],"involving":[87],"regions.":[89],"To":[90],"tackle":[91],"these":[92,119],"we":[94,122,145,169],"propose":[95],"SSIR,":[96],"unified":[98],"framework":[99],"reformulates":[101],"joint":[105],"Semantic":[106],"Segmentation":[107],"Retargeting":[110],"(SS-IR)":[111],"task,":[112],"leveraging":[113],"attention":[115],"mechanism":[116],"bridge":[118],"components.":[120],"Specifically,":[121],"first":[123],"employ":[124],"segmentation":[127,136],"sub-network":[128],"extracts":[130],"region":[132],"features":[133,148],"using":[134],"techniques":[137],"improve":[139],"text-awareness":[140],"tasks.":[143],"Then,":[144],"integrate":[146],"into":[149],"visual":[152,215],"representation":[153],"through":[154],"attention-driven":[156],"module":[157],"preserve":[160],"content":[165],"during":[166],"retargeting.":[167],"Finally,":[168],"address":[170],"unsupervised":[178],"learning":[179,193],"paradigm":[180],"based":[181],"Cycle-IR":[184],"framework,":[185],"employs":[187],"cyclic":[188],"consistency":[189],"reconstruction,":[190],"enabling":[191],"effective":[192],"without":[194],"need":[196],"training":[199],"data.":[200],"Experimental":[201],"results":[202],"show":[203],"SSIR":[206],"algorithm":[207],"effectively":[208],"preserves":[209],"information":[211],"delivers":[213],"high-quality":[214],"results.":[217]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-25T00:00:00"}