{"id":"https://openalex.org/W1984154521","doi":"https://doi.org/10.1109/mmsp.2013.6659313","title":"Efficient approach for scene understanding by low confidence region boosting","display_name":"Efficient approach for scene understanding by low confidence region boosting","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W1984154521","doi":"https://doi.org/10.1109/mmsp.2013.6659313","mag":"1984154521"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2013.6659313","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2013.6659313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 15th International Workshop on Multimedia Signal Processing (MMSP)","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/A5000959943","display_name":"Ivana Shopovska","orcid":"https://orcid.org/0000-0002-8487-9598"},"institutions":[{"id":"https://openalex.org/I76245029","display_name":"Ss. Cyril and Methodius University in Skopje","ror":"https://ror.org/02wk2vx54","country_code":"MK","type":"education","lineage":["https://openalex.org/I76245029"]}],"countries":["MK"],"is_corresponding":false,"raw_author_name":"Ivana Shopovska","raw_affiliation_strings":["Faculty of Electrical Engineering and Information Technologies, Skopje Rugjer Boshkovik bb, Skopje, Macedonia","Fac. of Electr. Eng. & Inf. Technol., Ss. Cyril and Methodius Univ., Skopje, Macedonia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Information Technologies, Skopje Rugjer Boshkovik bb, Skopje, Macedonia","institution_ids":["https://openalex.org/I76245029"]},{"raw_affiliation_string":"Fac. of Electr. Eng. & Inf. Technol., Ss. Cyril and Methodius Univ., Skopje, Macedonia","institution_ids":["https://openalex.org/I76245029"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059875556","display_name":"Zoran Ivanovski","orcid":"https://orcid.org/0000-0002-6078-7170"},"institutions":[{"id":"https://openalex.org/I76245029","display_name":"Ss. Cyril and Methodius University in Skopje","ror":"https://ror.org/02wk2vx54","country_code":"MK","type":"education","lineage":["https://openalex.org/I76245029"]}],"countries":["MK"],"is_corresponding":false,"raw_author_name":"Zoran Ivanovski","raw_affiliation_strings":["Faculty of Electrical Engineering and Information Technologies, Skopje Rugjer Boshkovik bb, Skopje, Macedonia","Fac. of Electr. Eng. & Inf. Technol., Ss. Cyril and Methodius Univ., Skopje, Macedonia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Information Technologies, Skopje Rugjer Boshkovik bb, Skopje, Macedonia","institution_ids":["https://openalex.org/I76245029"]},{"raw_affiliation_string":"Fac. of Electr. Eng. & Inf. Technol., Ss. Cyril and Methodius Univ., Skopje, Macedonia","institution_ids":["https://openalex.org/I76245029"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76245029"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"7585","issue":null,"first_page":"350","last_page":"355"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9990000128746033,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9908999800682068,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.8313258290290833},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7505193948745728},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6843492984771729},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5568792223930359},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5433777570724487},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.526239812374115},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5096123218536377},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4915350377559662},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45238637924194336},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43914735317230225},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4304269552230835}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.8313258290290833},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7505193948745728},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6843492984771729},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5568792223930359},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5433777570724487},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.526239812374115},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5096123218536377},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4915350377559662},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45238637924194336},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43914735317230225},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4304269552230835},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp.2013.6659313","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2013.6659313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 15th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W191249702","https://openalex.org/W1423339008","https://openalex.org/W1528789833","https://openalex.org/W1542723449","https://openalex.org/W1581592866","https://openalex.org/W1979016362","https://openalex.org/W1999378860","https://openalex.org/W2017313218","https://openalex.org/W2020308406","https://openalex.org/W2028277005","https://openalex.org/W2039051707","https://openalex.org/W2042097483","https://openalex.org/W2051179318","https://openalex.org/W2058536148","https://openalex.org/W2066813062","https://openalex.org/W2090087753","https://openalex.org/W2098355199","https://openalex.org/W2099972257","https://openalex.org/W2100567627","https://openalex.org/W2100588357","https://openalex.org/W2103444992","https://openalex.org/W2116445618","https://openalex.org/W2116607798","https://openalex.org/W2161633202","https://openalex.org/W2163490908","https://openalex.org/W2170341160","https://openalex.org/W2536208356","https://openalex.org/W2952279306","https://openalex.org/W4205969993","https://openalex.org/W6607711720","https://openalex.org/W6628124331","https://openalex.org/W6631412525","https://openalex.org/W6632547051","https://openalex.org/W6635091746","https://openalex.org/W6674646328","https://openalex.org/W6677695560"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W4231274751","https://openalex.org/W1549363203","https://openalex.org/W2154063878","https://openalex.org/W2556012038","https://openalex.org/W1489772951","https://openalex.org/W1538046993","https://openalex.org/W2571255492","https://openalex.org/W3206716821"],"abstract_inverted_index":{"The":[0,25,78,124],"focus":[1],"of":[2,10,23,45,82,135,149],"this":[3,51],"paper":[4],"is":[5,15,29,90,127,144],"providing":[6],"a":[7,17,20,94,117],"semantic":[8],"description":[9],"images,":[11],"where":[12],"each":[13],"pixel":[14],"assigned":[16],"label":[18],"from":[19],"pre-defined":[21],"set":[22],"categories.":[24],"human":[26],"visual":[27,47],"system":[28],"very":[30],"efficient":[31],"in":[32,147],"recognizing":[33],"difficult":[34],"content,":[35],"making":[36],"guesses":[37],"and":[38,67,92,109,138],"predictions":[39],"reinforced":[40],"by":[41,50,59,115],"the":[42,55,75,80,86,110,121,132,157],"contextual":[43],"relationships":[44],"neighboring":[46],"stimuli.":[48],"Motivated":[49],"notion,":[52],"we":[53],"approach":[54],"image":[56],"labeling":[57],"problem":[58],"searching":[60],"for":[61],"regions":[62,102],"with":[63],"high":[64,83],"classification":[65,97],"confidence,":[66],"use":[68,134],"spatial":[69],"dependencies":[70],"to":[71,120,131,156],"improve":[72],"decisions":[73],"about":[74],"uncertain":[76],"ones.":[77],"higher":[79],"number":[81],"confidence":[84],"predictions,":[85],"more":[87],"relevant":[88],"information":[89],"available":[91],"thus":[93],"better":[95],"overall":[96],"can":[98],"be":[99],"achieved.":[100],"Image":[101],"are":[103,113],"tested":[104],"against":[105],"separate":[106],"SVM":[107],"classifiers,":[108],"final":[111],"labels":[112],"computed":[114],"applying":[116],"post-processing":[118],"algorithm":[119],"probability":[122],"outputs.":[123],"proposed":[125],"method":[126],"computationally":[128],"simpler":[129],"compared":[130],"trending":[133],"graphical":[136],"models,":[137],"experimental":[139],"results":[140,154],"show":[141],"that":[142],"it":[143],"especially":[145],"effective":[146],"cases":[148],"small":[150],"training":[151],"sets,":[152],"achieving":[153],"comparable":[155],"state-of-the-art":[158],"algorithms.":[159]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
