{"id":"https://openalex.org/W2407857922","doi":"https://doi.org/10.1109/icassp.2016.7471968","title":"Saliency & structure preserving multi-operator image retargeting","display_name":"Saliency & structure preserving multi-operator image retargeting","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2407857922","doi":"https://doi.org/10.1109/icassp.2016.7471968","mag":"2407857922"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7471968","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7471968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5110631077","display_name":"Lingling Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lingling Zhu","raw_affiliation_strings":["University of Science and Technology of China, CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079572598","display_name":"Zhibo Chen","orcid":"https://orcid.org/0000-0002-8525-5066"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhibo Chen","raw_affiliation_strings":["University of Science and Technology of China, CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100420362","display_name":"Xiaoming Chen","orcid":"https://orcid.org/0000-0002-7503-3021"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoming Chen","raw_affiliation_strings":["University of Science and Technology of China, CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111696111","display_name":"Ning Liao","orcid":"https://orcid.org/0000-0002-3764-2555"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Liao","raw_affiliation_strings":["University of Science and Technology of China, CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5110631077"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.668,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.76372363,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"26","issue":null,"first_page":"1706","last_page":"1710"},"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":0.9991000294685364,"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":0.9900000095367432,"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":0.8834845423698425},{"id":"https://openalex.org/keywords/seam-carving","display_name":"Seam carving","score":0.8745085597038269},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7465143203735352},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7378172874450684},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6692786812782288},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5834803581237793},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4966807961463928},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.491328626871109},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.442500501871109},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35470110177993774}],"concepts":[{"id":"https://openalex.org/C2780575108","wikidata":"https://www.wikidata.org/wiki/Q7316652","display_name":"Retargeting","level":2,"score":0.8834845423698425},{"id":"https://openalex.org/C23746413","wikidata":"https://www.wikidata.org/wiki/Q1141379","display_name":"Seam carving","level":3,"score":0.8745085597038269},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7465143203735352},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7378172874450684},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6692786812782288},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5834803581237793},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4966807961463928},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.491328626871109},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.442500501871109},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35470110177993774}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2016.7471968","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7471968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":17,"referenced_works":["https://openalex.org/W1972735298","https://openalex.org/W1985949187","https://openalex.org/W1995672339","https://openalex.org/W2011587071","https://openalex.org/W2018377917","https://openalex.org/W2052830755","https://openalex.org/W2080008265","https://openalex.org/W2124321291","https://openalex.org/W2132122434","https://openalex.org/W2143668817","https://openalex.org/W2166650627","https://openalex.org/W2539033431","https://openalex.org/W3137241515","https://openalex.org/W4235789614","https://openalex.org/W4237734377","https://openalex.org/W4252179328","https://openalex.org/W6649233251"],"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/W2018765149","https://openalex.org/W2145475630"],"abstract_inverted_index":{"Content-aware":[0],"image":[1,24,103,131],"retargeting":[2,132],"has":[3],"attracted":[4],"substantial":[5],"research":[6,11],"interests":[7],"in":[8],"the":[9],"related":[10],"community.":[12],"However,":[13],"so":[14],"far":[15],"there":[16],"is":[17],"still":[18],"no":[19],"method":[20,106,128],"can":[21,109,118],"preserve":[22,111],"important":[23],"contents":[25,113],"and":[26,90,114],"structure":[27,82],"well":[28,110],"without":[29],"introducing":[30],"deformation.":[31],"To":[32],"address":[33],"this":[34],"problem,":[35],"we":[36],"propose":[37],"a":[38],"Saliency":[39],"&":[40],"Structure":[41],"Preserving":[42],"Multi-operator":[43],"(SSPM)":[44],"method.":[45],"SSPM":[46,75,105],"classifies":[47],"images":[48],"into":[49],"three":[50],"categories":[51],"utilizing":[52],"SIFT":[53],"density":[54],"to":[55,62,80,95],"improve":[56,81,120],"performance":[57],"of":[58,69],"saliency":[59,72],"preservation,":[60],"helping":[61],"mitigate":[63],"negative":[64],"influence":[65],"from":[66],"center-bias":[67],"property":[68],"most":[70],"existing":[71],"detection":[73],"models.":[74],"also":[76,117],"employs":[77],"different":[78],"principles":[79],"preservation":[83],"performance,":[84],"including":[85],"Earth":[86],"Mover's":[87],"Distance":[88],"(EMD)":[89],"Gray-Level":[91],"Cooccurrence":[92],"Matrix":[93],"(GLCM)":[94],"get":[96],"optimal":[97],"operator":[98],"sequences":[99],"for":[100],"smart":[101],"content-aware":[102],"retargeting.":[104],"not":[107],"only":[108],"salient":[112],"structure,":[115],"but":[116],"greatly":[119],"deformation":[121],"resilience.":[122],"Experimental":[123],"results":[124],"demonstrated":[125],"that":[126],"our":[127],"outperforms":[129],"state-of-art":[130],"methods.":[133]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}