{"id":"https://openalex.org/W4402916323","doi":"https://doi.org/10.1109/icip51287.2024.10648064","title":"Object-Aware Adaptive Image Retargeting Via Importance Map Fusion","display_name":"Object-Aware Adaptive Image Retargeting Via Importance Map Fusion","publication_year":2024,"publication_date":"2024-09-27","ids":{"openalex":"https://openalex.org/W4402916323","doi":"https://doi.org/10.1109/icip51287.2024.10648064"},"language":"en","primary_location":{"id":"doi:10.1109/icip51287.2024.10648064","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip51287.2024.10648064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","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/A5030262837","display_name":"Ziyad Alswaidan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ziyad Alswaidan","raw_affiliation_strings":["Electrical Engineering Department"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049938940","display_name":"M. Hashem Shullar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Hashem Shullar","raw_affiliation_strings":["Electrical Engineering Department"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017831967","display_name":"Khalil Chikhaoui","orcid":"https://orcid.org/0000-0002-2406-5752"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Khalil Chikhaoui","raw_affiliation_strings":["Electrical Engineering Department"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063764685","display_name":"Motaz Alfarraj","orcid":"https://orcid.org/0000-0002-6052-7221"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Motaz Alfarraj","raw_affiliation_strings":["Electrical Engineering Department"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":0.37100094,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1528","last_page":"1533"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9947999715805054,"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":0.9922000169754028,"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-vision","display_name":"Computer vision","score":0.7589851021766663},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7349717617034912},{"id":"https://openalex.org/keywords/retargeting","display_name":"Retargeting","score":0.7144308090209961},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6914153099060059},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5395781993865967},{"id":"https://openalex.org/keywords/seam-carving","display_name":"Seam carving","score":0.5111556649208069},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4836477041244507},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4480672776699066},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42671769857406616},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3755279779434204}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7589851021766663},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7349717617034912},{"id":"https://openalex.org/C2780575108","wikidata":"https://www.wikidata.org/wiki/Q7316652","display_name":"Retargeting","level":2,"score":0.7144308090209961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6914153099060059},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5395781993865967},{"id":"https://openalex.org/C23746413","wikidata":"https://www.wikidata.org/wiki/Q1141379","display_name":"Seam carving","level":3,"score":0.5111556649208069},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4836477041244507},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4480672776699066},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42671769857406616},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3755279779434204},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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:10.1109/icip51287.2024.10648064","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip51287.2024.10648064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1980398865","https://openalex.org/W2018377917","https://openalex.org/W2043331342","https://openalex.org/W2055307271","https://openalex.org/W2080008265","https://openalex.org/W2082071543","https://openalex.org/W2115273023","https://openalex.org/W2132610780","https://openalex.org/W2266217683","https://openalex.org/W2406634923","https://openalex.org/W2606025925","https://openalex.org/W2806070179","https://openalex.org/W2952122856","https://openalex.org/W2961348656","https://openalex.org/W2962717160","https://openalex.org/W2966634466","https://openalex.org/W2997421813","https://openalex.org/W3009145072","https://openalex.org/W3031176527","https://openalex.org/W3091114462","https://openalex.org/W3103254230","https://openalex.org/W3136413417","https://openalex.org/W3159471126","https://openalex.org/W3195035891","https://openalex.org/W3204847940","https://openalex.org/W3207368835","https://openalex.org/W4311250073","https://openalex.org/W6761295028"],"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/W2266217683"],"abstract_inverted_index":{"Image":[0],"retargeting":[1,23,65,85,118],"is":[2,41,126],"the":[3,9,17,20,30,34,55,61,64,98,103,107,112,116],"process":[4,66],"of":[5,12,33,38,63,100,102],"resizing":[6],"and":[7,122],"changing":[8],"aspect":[10],"ratio":[11],"an":[13,82],"image":[14,84],"while":[15],"minimizing":[16],"distortions":[18,74],"in":[19,106,120],"content.":[21],"Multiple":[22],"techniques":[24,119],"use":[25],"saliency":[26],"maps":[27,40],"to":[28,45,49,73],"identify":[29],"important":[31],"parts":[32],"image.":[35,108],"The":[36],"caveat":[37],"such":[39],"that":[42,87,94,111],"they":[43],"tend":[44],"give":[46],"equal":[47],"importance":[48,92,101],"different":[50,104],"objects":[51,56,69,105],"without":[52],"acknowledging":[53],"what":[54],"are.":[57],"This":[58],"may":[59],"degrade":[60],"performance":[62],"as":[67],"some":[68],"are":[70],"more":[71],"sensitive":[72],"than":[75],"others.":[76],"In":[77],"this":[78],"paper,":[79],"we":[80],"propose":[81],"adaptive":[83],"method":[86,114],"uses":[88],"a":[89],"novel":[90],"object-aware":[91],"map":[93],"takes":[95],"into":[96],"account":[97],"level":[99],"Results":[109],"show":[110],"proposed":[113],"outperforms":[115],"existing":[117],"subjective":[121],"objective":[123],"measures.":[124],"Code":[125],"available":[127],"at":[128],"https://github.com/swaidan/Importance-Map-Fusion":[129]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}