{"id":"https://openalex.org/W3088103093","doi":"https://doi.org/10.2352/issn.2470-1173.2020.10.ipas-097","title":"A novel image recognition approach using multiscale saliency model and GoogLeNet","display_name":"A novel image recognition approach using multiscale saliency model and GoogLeNet","publication_year":2020,"publication_date":"2020-01-26","ids":{"openalex":"https://openalex.org/W3088103093","doi":"https://doi.org/10.2352/issn.2470-1173.2020.10.ipas-097","mag":"3088103093"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2020.10.ipas-097","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2020.10.ipas-097","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-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/A5058570015","display_name":"Yongqing Yang","orcid":"https://orcid.org/0000-0003-2414-2719"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guoan Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078743198","display_name":"Libo Jian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Libo Jian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080213032","display_name":"Zhengzhi Lu","orcid":"https://orcid.org/0000-0001-7392-6320"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhengzhi Lu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089183792","display_name":"Junjie Yang","orcid":"https://orcid.org/0000-0002-1240-6417"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Junjie Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5033159071","display_name":"Deyang Liu","orcid":"https://orcid.org/0000-0001-7991-8735"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deyang Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"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":0.10142479,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":"10","first_page":"97","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9997000098228455,"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/T11605","display_name":"Visual Attention and Saliency Detection","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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9926000237464905,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9876000285148621,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6672486662864685},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.599949836730957},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5841493010520935},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5737842917442322},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46169552206993103}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6672486662864685},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.599949836730957},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5841493010520935},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5737842917442322},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46169552206993103}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2020.10.ipas-097","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2020.10.ipas-097","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W1891287906","https://openalex.org/W2036807459","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2772917594","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2058170566"],"abstract_inverted_index":{"It":[0],"is":[1,28,36],"very":[2],"good":[3],"to":[4,15,86,155,167],"apply":[5],"the":[6,10,16,23,83,88,93,98,101,104,112,131,141,145,150,168],"saliency":[7,34,52],"model":[8,35,53],"in":[9,100],"visual":[11,26,33],"selective":[12],"attention":[13],"mechanism":[14,24],"preprocessing":[17],"process":[18],"of":[19,25,65,144,170],"image":[20,47,79,105,133,159],"recognition.":[21],"However,":[22],"perception":[27],"still":[29],"unclear,":[30],"so":[31],"this":[32,40,42,117],"not":[37],"ideal.":[38],"To":[39],"end,":[41],"paper":[43],"proposes":[44],"a":[45,57],"novel":[46],"recognition":[48,106,142,160],"approach":[49],"using":[50],"multiscale":[51,67],"and":[54,96,162],"GoogLeNet.":[55],"First,":[56],"multi-scale":[58],"convolutional":[59],"neural":[60],"network":[61],"was":[62,80,108],"taken":[63],"advantage":[64],"constructing":[66],"salient":[68,84,94],"maps,":[69],"which":[70,91],"could":[71],"be":[72],"used":[73,127],"as":[74],"filters.":[75],"Second,":[76],"an":[77],"original":[78],"combined":[81],"with":[82],"maps":[85],"generate":[87],"filtered":[89],"image,":[90],"highlighted":[92],"regions":[95],"suppressed":[97],"background":[99],"image.":[102],"Third,":[103],"task":[107],"implemented":[109],"by":[110,123],"adopting":[111],"classical":[113],"GoogLeNet":[114],"model.":[115],"In":[116],"paper,":[118],"many":[119],"experiments":[120],"were":[121],"completed":[122],"comparing":[124],"four":[125],"commonly":[126],"evaluation":[128],"indicators":[129],"on":[130,149],"standard":[132],"database":[134],"MSRA10K.":[135],"The":[136],"experimental":[137],"results":[138,143,169],"show":[139],"that":[140],"test":[146],"images":[147],"based":[148],"proposed":[151],"method":[152],"are":[153,163],"superior":[154],"some":[156],"stateof-":[157],"the-art":[158],"methods,":[161],"also":[164],"more":[165],"approximate":[166],"human":[171],"eye":[172],"observation.":[173]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
