{"id":"https://openalex.org/W4321488014","doi":"https://doi.org/10.1109/jstars.2023.3247745","title":"Photo Semantic Understanding and Retargeting by a Noise-Robust Regularized Topic Model","display_name":"Photo Semantic Understanding and Retargeting by a Noise-Robust Regularized Topic Model","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4321488014","doi":"https://doi.org/10.1109/jstars.2023.3247745"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2023.3247745","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/jstars.2023.3247745","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10050016.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10050016.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100647208","display_name":"Guifeng Wang","orcid":"https://orcid.org/0000-0003-3301-6677"},"institutions":[{"id":"https://openalex.org/I4210152737","display_name":"Jinhua Polytechnic","ror":"https://ror.org/047hbb113","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152737"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guifeng Wang","raw_affiliation_strings":["Key Laboratory of Crop Harvesting Equipment Technology of Zhejiang Province, Jinhua Polytechnic, Jinhua, China","key Laboratory of Crop Harvesting Equipment Technology of Zhejiang Province, Jinhua Polytechnic, Jinhua, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Crop Harvesting Equipment Technology of Zhejiang Province, Jinhua Polytechnic, Jinhua, China","institution_ids":["https://openalex.org/I4210152737"]},{"raw_affiliation_string":"key Laboratory of Crop Harvesting Equipment Technology of Zhejiang Province, Jinhua Polytechnic, Jinhua, Zhejiang, China","institution_ids":["https://openalex.org/I4210152737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013612751","display_name":"Luming Zhang","orcid":"https://orcid.org/0000-0002-0145-2610"},"institutions":[{"id":"https://openalex.org/I4210152737","display_name":"Jinhua Polytechnic","ror":"https://ror.org/047hbb113","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152737"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luming Zhang","raw_affiliation_strings":["Key Laboratory of Crop Harvesting Equipment Technology of Zhejiang Province, Jinhua Polytechnic, Jinhua, China","key Laboratory of Crop Harvesting Equipment Technology of Zhejiang Province, Jinhua Polytechnic, Jinhua, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Crop Harvesting Equipment Technology of Zhejiang Province, Jinhua Polytechnic, Jinhua, China","institution_ids":["https://openalex.org/I4210152737"]},{"raw_affiliation_string":"key Laboratory of Crop Harvesting Equipment Technology of Zhejiang Province, Jinhua Polytechnic, Jinhua, Zhejiang, China","institution_ids":["https://openalex.org/I4210152737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100644423","display_name":"Yongbin Li","orcid":"https://orcid.org/0000-0002-3387-6012"},"institutions":[{"id":"https://openalex.org/I4210152737","display_name":"Jinhua Polytechnic","ror":"https://ror.org/047hbb113","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152737"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongbin Li","raw_affiliation_strings":["Key Laboratory of Crop Harvesting Equipment Technology of Zhejiang Province, Jinhua Polytechnic, Jinhua, China","key Laboratory of Crop Harvesting Equipment Technology of Zhejiang Province, Jinhua Polytechnic, Jinhua, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Crop Harvesting Equipment Technology of Zhejiang Province, Jinhua Polytechnic, Jinhua, China","institution_ids":["https://openalex.org/I4210152737"]},{"raw_affiliation_string":"key Laboratory of Crop Harvesting Equipment Technology of Zhejiang Province, Jinhua Polytechnic, Jinhua, Zhejiang, China","institution_ids":["https://openalex.org/I4210152737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112961242","display_name":"Yichuan Sheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152737","display_name":"Jinhua Polytechnic","ror":"https://ror.org/047hbb113","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152737"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yichuan Sheng","raw_affiliation_strings":["Key Laboratory of Crop Harvesting Equipment Technology of Zhejiang Province, Jinhua Polytechnic, Jinhua, China","key Laboratory of Crop Harvesting Equipment Technology of Zhejiang Province, Jinhua Polytechnic, Jinhua, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Crop Harvesting Equipment Technology of Zhejiang Province, Jinhua Polytechnic, Jinhua, China","institution_ids":["https://openalex.org/I4210152737"]},{"raw_affiliation_string":"key Laboratory of Crop Harvesting Equipment Technology of Zhejiang Province, Jinhua Polytechnic, Jinhua, Zhejiang, China","institution_ids":["https://openalex.org/I4210152737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100647208"],"corresponding_institution_ids":["https://openalex.org/I4210152737"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":0.1259,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.3571904,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"16","issue":null,"first_page":"3495","last_page":"3505"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9994999766349792,"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":0.9987000226974487,"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-science","display_name":"Computer science","score":0.7829799652099609},{"id":"https://openalex.org/keywords/retargeting","display_name":"Retargeting","score":0.7331564426422119},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6544482111930847},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6149661540985107},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.5474064350128174},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.502032995223999},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.48914769291877747},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4600299596786499},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4296908676624298},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4183228015899658},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.41732320189476013},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3952335715293884},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3558984100818634},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10692548751831055},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08885419368743896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7829799652099609},{"id":"https://openalex.org/C2780575108","wikidata":"https://www.wikidata.org/wiki/Q7316652","display_name":"Retargeting","level":2,"score":0.7331564426422119},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6544482111930847},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6149661540985107},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.5474064350128174},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.502032995223999},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.48914769291877747},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4600299596786499},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4296908676624298},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4183228015899658},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.41732320189476013},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3952335715293884},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3558984100818634},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10692548751831055},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08885419368743896},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2023.3247745","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/jstars.2023.3247745","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10050016.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:344656575fa742fe9ebab0746955638f","is_oa":true,"landing_page_url":"https://doaj.org/article/344656575fa742fe9ebab0746955638f","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 3495-3505 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2023.3247745","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/jstars.2023.3247745","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10050016.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4321488014.pdf","grobid_xml":"https://content.openalex.org/works/W4321488014.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W46659105","https://openalex.org/W157251712","https://openalex.org/W1484777458","https://openalex.org/W1519109293","https://openalex.org/W1592690888","https://openalex.org/W1880262756","https://openalex.org/W1972735298","https://openalex.org/W1983784599","https://openalex.org/W1997095443","https://openalex.org/W1998871699","https://openalex.org/W2023655578","https://openalex.org/W2035214377","https://openalex.org/W2050239729","https://openalex.org/W2055307271","https://openalex.org/W2059279601","https://openalex.org/W2059925611","https://openalex.org/W2080008265","https://openalex.org/W2080308120","https://openalex.org/W2101117936","https://openalex.org/W2105767494","https://openalex.org/W2106545428","https://openalex.org/W2109820980","https://openalex.org/W2110620844","https://openalex.org/W2111002549","https://openalex.org/W2119625792","https://openalex.org/W2132610780","https://openalex.org/W2140262997","https://openalex.org/W2142785776","https://openalex.org/W2153096898","https://openalex.org/W2155175457","https://openalex.org/W2164928285","https://openalex.org/W2166554908","https://openalex.org/W2382280490","https://openalex.org/W2406185338","https://openalex.org/W2618530766","https://openalex.org/W2963150697","https://openalex.org/W3136413417","https://openalex.org/W3137241515","https://openalex.org/W4235093120","https://openalex.org/W6606358983","https://openalex.org/W6636440780","https://openalex.org/W6639619044","https://openalex.org/W6676274861","https://openalex.org/W6802492322","https://openalex.org/W6803501903"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W3032998312","https://openalex.org/W3009056573","https://openalex.org/W4384486036","https://openalex.org/W135177976","https://openalex.org/W1503094549","https://openalex.org/W2922073769","https://openalex.org/W4297676672","https://openalex.org/W4281702477"],"abstract_inverted_index":{"Retargeting":[0],"aims":[1],"at":[2],"displaying":[3],"a":[4,38,65,76,99,145,184],"photo":[5,79,201],"with":[6,70,178,233],"an":[7,107],"arbitrary":[8],"aspect":[9],"ratio,":[10],"wherein":[11,47],"the":[12,32,48,86,157,166,172,189,194,199,205,209,219,234,239,243],"visually/semantically":[13],"prominent":[14],"objects":[15,69],"are":[16,29,52,230],"appropriately":[17,59],"preserved":[18],"and":[19,139,215],"visual":[20,33],"distortions":[21],"can":[22],"be":[23],"well":[24],"alleviated.":[25],"Conventional":[26],"retargeting":[27,80],"models":[28],"built":[30],"upon":[31],"perception":[34],"of":[35,40,68,124,160,181,208,221],"photos":[36],"from":[37,89,174],"family":[39],"prespecified":[41],"communities":[42,97,115,164,177,229],"(<italic":[43],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[44,95],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">e.g.</i>,":[45],"\u201cportrait\u201d),":[46],"underlying":[49,167],"community-specific":[50],"features":[51,88],"not":[53],"learned":[54,129],"explicitly.":[55],"Thus,":[56],"they":[57],"cannot":[58],"retarget":[60],"aerial":[61,78,182],"photos,":[62,183],"which":[63,125],"contains":[64],"rich":[66],"variety":[67],"different":[71],"scales.":[72],"In":[73],"this":[74],"article,":[75],"novel":[77],"framework":[81],"is":[82,128,153,186],"designed":[83,154],"by":[84,192],"encoding":[85,142],"deep":[87,126,140],"automatically":[90],"detected":[91],"Google":[92,119,162,175,227,246],"Maps":[93,120,163,176,228,247],"(<uri":[94],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://www.google.com/maps</uri>)":[96],"into":[98,188],"regularized":[100,195],"probabilistic":[101,146],"model.":[102],"Specifically,":[103],"we":[104,197],"first":[105],"propose":[106],"enhanced":[108,132],"matrix":[109],"factorization":[110],"(MF)":[111],"algorithm":[112],"to":[113,203,238],"calculate":[114,226],"based":[116],"on":[117,242],"million-scale":[118],"pictures,":[121],"for":[122],"each":[123],"feature":[127,141],"simultaneously.":[130],"The":[131],"MF":[133],"incorporates":[134],"label":[135],"denoising,":[136],"between-communities":[137],"correlation,":[138],"collaboratively.":[143],"Subsequently,":[144],"model":[147,151],"called":[148],"latent":[149],"topic":[150],"(LTM)":[152],"that":[155],"quantifies":[156],"spatial":[158],"layouts":[159],"multiple":[161],"in":[165],"hidden":[168],"space.":[169],"To":[170],"alleviate":[171],"overfitting":[173],"imbalanced":[179],"numbers":[180],"regularizer":[185],"added":[187],"LTM.":[190],"Finally,":[191],"leveraging":[193],"LTM,":[196],"shrink":[198],"test":[200],"horizontally/vertically":[202],"maximize":[204],"posterior":[206],"probability":[207],"retargted":[210],"photo.":[211],"Comprehensive":[212],"subjective":[213],"evaluations":[214],"visualizations":[216],"have":[217],"demonstrated":[218],"advantages":[220],"our":[222,225],"method.":[223],"Besides,":[224],"competitively":[231],"consistent":[232],"ground":[235],"truth,":[236],"according":[237],"quantitative":[240],"comparisons":[241],"2":[244],"M":[245],"photos.":[248]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}