{"id":"https://openalex.org/W2921304634","doi":"https://doi.org/10.23919/apsipa.2018.8659471","title":"Image Retrieval using CNN and Low-level Feature Fusion for Crime Scene Investigation Image Database","display_name":"Image Retrieval using CNN and Low-level Feature Fusion for Crime Scene Investigation Image Database","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2921304634","doi":"https://doi.org/10.23919/apsipa.2018.8659471","mag":"2921304634"},"language":"en","primary_location":{"id":"doi:10.23919/apsipa.2018.8659471","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apsipa.2018.8659471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5114833204","display_name":"Ying Liu","orcid":"https://orcid.org/0000-0003-3983-9252"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ying Liu","raw_affiliation_strings":["Center for Image and Information Processing, Xi'an University of Posts and Telecommunications, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Center for Image and Information Processing, Xi'an University of Posts and Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007523693","display_name":"Yanan Peng","orcid":"https://orcid.org/0000-0002-8494-5575"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanan Peng","raw_affiliation_strings":["Center for Image and Information Processing, Xi'an University of Posts and Telecommunications, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Center for Image and Information Processing, Xi'an University of Posts and Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101517880","display_name":"Dan Hu","orcid":"https://orcid.org/0000-0001-8525-3661"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Hu","raw_affiliation_strings":["Center for Image and Information Processing, Xi'an University of Posts and Telecommunications, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Center for Image and Information Processing, Xi'an University of Posts and Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073344117","display_name":"Daxiang Li","orcid":"https://orcid.org/0000-0002-5766-5973"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daxiang Li","raw_affiliation_strings":["Center for Image and Information Processing, Xi'an University of Posts and Telecommunications, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Center for Image and Information Processing, Xi'an University of Posts and Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Keng-Pang Lim","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keng-Pang Lim","raw_affiliation_strings":["Center for Image and Information Processing, Xi'an University of Posts and Telecommunications, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Center for Image and Information Processing, Xi'an University of Posts and Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018686979","display_name":"Nam Ling","orcid":"https://orcid.org/0000-0002-5741-7937"},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nam Ling","raw_affiliation_strings":["Department of Computer Engineering, Santa Clara University, California, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Santa Clara University, California, USA","institution_ids":["https://openalex.org/I16269868"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5114833204"],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.7438,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.7806341,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1208","last_page":"1214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9961000084877014,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9961000084877014,"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":0.9955999851226807,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9929999709129333,"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":0.7988520264625549},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7942864894866943},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.736115038394928},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6108772158622742},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5680447220802307},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5391744375228882},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5321357250213623},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46309804916381836},{"id":"https://openalex.org/keywords/automatic-image-annotation","display_name":"Automatic image annotation","score":0.45555126667022705},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4394334852695465},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43362659215927124},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.41242825984954834}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7988520264625549},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7942864894866943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.736115038394928},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6108772158622742},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5680447220802307},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5391744375228882},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5321357250213623},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46309804916381836},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.45555126667022705},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4394334852695465},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43362659215927124},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.41242825984954834},{"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/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:10.23919/apsipa.2018.8659471","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apsipa.2018.8659471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W34239198","https://openalex.org/W204268067","https://openalex.org/W205111322","https://openalex.org/W1566135517","https://openalex.org/W1686810756","https://openalex.org/W1783842908","https://openalex.org/W1963882359","https://openalex.org/W2001773889","https://openalex.org/W2002680737","https://openalex.org/W2018057603","https://openalex.org/W2096582331","https://openalex.org/W2100495367","https://openalex.org/W2145287260","https://openalex.org/W2163605009","https://openalex.org/W2174726731","https://openalex.org/W2187120050","https://openalex.org/W2190186811","https://openalex.org/W2204975001","https://openalex.org/W2248723555","https://openalex.org/W2337601497","https://openalex.org/W2553470505","https://openalex.org/W2588756761","https://openalex.org/W2780133001","https://openalex.org/W2787305514","https://openalex.org/W2962835968","https://openalex.org/W2963173190","https://openalex.org/W2963256013","https://openalex.org/W4285719527","https://openalex.org/W4294375521","https://openalex.org/W6601402213","https://openalex.org/W6608313692","https://openalex.org/W6608384977","https://openalex.org/W6637373629","https://openalex.org/W6648737282","https://openalex.org/W6682778277","https://openalex.org/W6684191040","https://openalex.org/W6685522000","https://openalex.org/W6686898333","https://openalex.org/W6691541466","https://openalex.org/W6693222644"],"related_works":["https://openalex.org/W3177930984","https://openalex.org/W2052697133","https://openalex.org/W2076896210","https://openalex.org/W3183901164","https://openalex.org/W2384288472","https://openalex.org/W1539573266","https://openalex.org/W2093596879","https://openalex.org/W2376984068","https://openalex.org/W2951211570","https://openalex.org/W2201969175"],"abstract_inverted_index":{"Crime":[0],"scene":[1],"investigation":[2],"(CSI)":[3],"image":[4,36,75,92,124,129,134,140,146],"retrieval":[5],"is":[6,14],"used":[7,137],"to":[8,40,50,59,77],"search":[9],"for":[10,111,155],"crime":[11],"evidences":[12],"and":[13,69,105],"critical":[15],"in":[16,18,34,43,138],"helping":[17],"solving":[19],"various":[20],"crimes.":[21],"In":[22,161],"recent":[23],"years,":[24],"using":[25,89],"Convolutional":[26],"Neural":[27],"Network":[28],"(CNN)":[29],"has":[30],"demonstrated":[31],"outstanding":[32],"performances":[33],"large-scale":[35],"database":[37,147,169],"retrieval.":[38,141],"However,":[39],"prevent":[41],"over-fitting":[42],"the":[44,90,112,122,127,139,149,152,167,171,174],"training":[45,159],"of":[46,53,102,126,151,158,173],"CNN":[47,62,71,85,94,116],"model":[48,104],"due":[49],"limited":[51,156],"number":[52,157],"CSI":[54,80,145],"images,":[55],"this":[56],"paper":[57],"proposes":[58],"cascade":[60],"two":[61,83],"models":[63,86],"obtained":[64],"based":[65],"on":[66,144,166],"transfer":[67],"learning":[68],"combine":[70],"features":[72,95,110,117,125,135],"with":[73,121],"low-level":[74,123],"feature":[76],"better":[78],"describe":[79],"images.":[81],"First,":[82],"pre-trained":[84],"are":[87,96,106,118,136],"fine-tuned":[88],"target":[91,128],"set.":[93,130],"extracted":[97],"from":[98],"fully":[99],"connected":[100],"layer":[101],"each":[103],"concatenated":[107,115],"as":[108],"high-level":[109],"image.":[113],"These":[114],"then":[119],"fused":[120,133],"The":[131],"final":[132],"Experimental":[142],"results":[143],"proved":[148,170],"effectiveness":[150],"proposed":[153,175],"algorithm":[154],"sets.":[160],"addition,":[162],"experiments":[163],"carried":[164],"out":[165],"GHIM-10K":[168],"generalizability":[172],"algorithm.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}