{"id":"https://openalex.org/W2783280600","doi":"https://doi.org/10.1109/iske.2017.8258831","title":"VideoGIS data retrieval based on multi-feature fusion","display_name":"VideoGIS data retrieval based on multi-feature fusion","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2783280600","doi":"https://doi.org/10.1109/iske.2017.8258831","mag":"2783280600"},"language":"en","primary_location":{"id":"doi:10.1109/iske.2017.8258831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske.2017.8258831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","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/A5100945148","display_name":"Haihong Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haihong Dai","raw_affiliation_strings":["College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028352417","display_name":"Bin Hu","orcid":"https://orcid.org/0000-0003-3286-4607"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Hu","raw_affiliation_strings":["College of Geographic Science, Nanjing Normal University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Geographic Science, Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052026359","display_name":"Qian Cui","orcid":"https://orcid.org/0000-0003-1236-7523"},"institutions":[{"id":"https://openalex.org/I4210126530","display_name":"Data Assurance and Communication Security","ror":"https://ror.org/02z2gfm30","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210126530","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Cui","raw_affiliation_strings":["College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, China","Jiangsu Key Laboratory of Big Data Security & Intelligent Processing, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"Jiangsu Key Laboratory of Big Data Security & Intelligent Processing, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I4210126530"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045807579","display_name":"Zhiqiang Zou","orcid":"https://orcid.org/0000-0003-2828-8491"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Zou","raw_affiliation_strings":["Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100945148"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.182,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59401668,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"9"},"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":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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9991999864578247,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9970999956130981,"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":0.7377364635467529},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5232614278793335},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4938521981239319},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.49002373218536377},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.44557690620422363},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44297558069229126},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40789666771888733}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7377364635467529},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5232614278793335},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4938521981239319},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.49002373218536377},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.44557690620422363},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44297558069229126},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40789666771888733},{"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:10.1109/iske.2017.8258831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske.2017.8258831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1677409904","https://openalex.org/W1935207225","https://openalex.org/W1973749534","https://openalex.org/W1978322447","https://openalex.org/W1996169591","https://openalex.org/W2025938798","https://openalex.org/W2028613966","https://openalex.org/W2092650171","https://openalex.org/W2096159100","https://openalex.org/W2112656963","https://openalex.org/W2113276649","https://openalex.org/W2124404372","https://openalex.org/W2132771496","https://openalex.org/W2151103935","https://openalex.org/W2227796843","https://openalex.org/W2324853856","https://openalex.org/W2363255443","https://openalex.org/W2411124039","https://openalex.org/W2499773899","https://openalex.org/W2524986182","https://openalex.org/W2561217093","https://openalex.org/W2592562967","https://openalex.org/W2604341799","https://openalex.org/W6640727481","https://openalex.org/W6676787555","https://openalex.org/W6736370022","https://openalex.org/W7065303764"],"related_works":["https://openalex.org/W2015538044","https://openalex.org/W2052253960","https://openalex.org/W2480412556","https://openalex.org/W2382607599","https://openalex.org/W2016461833","https://openalex.org/W3197541072","https://openalex.org/W2760085659","https://openalex.org/W2147802381","https://openalex.org/W2787306535","https://openalex.org/W2489255581"],"abstract_inverted_index":{"With":[0],"the":[1,8,16,25,45,56,63,66,98,102,108,111,115,129,133,143,151,164,172,177],"rapid":[2],"development":[3],"of":[4,10,36,44,58,65,72,107,113,166],"smart":[5],"cities":[6],"and":[7,13,23,61,104,146,169],"advance":[9],"city":[11],"safety":[12],"defense":[14],"demands,":[15],"question":[17],"that":[18,27,176],"how":[19],"to":[20,48,54,96],"accurately":[21],"discover":[22],"retrieve":[24],"data":[26,32,40,74],"users":[28],"request":[29],"from":[30],"VideoGIS":[31,39,73],"faces":[33],"a":[34,69],"series":[35],"bottleneck":[37],"problems.":[38,51],"retrieval":[41,75,179,183],"is":[42,80,158],"one":[43],"important":[46],"ways":[47],"solve":[49],"above":[50],"In":[52],"order":[53],"accelerate":[55],"rate":[57],"feature":[59,130,168],"matching":[60],"improve":[62],"efficiency":[64],"video":[67,89,134,156],"retrieval,":[68],"new":[70],"method":[71,86,165,180],"based":[76,92],"on":[77,93,150],"multi-feature":[78,135,152],"fusion":[79,136],"proposed":[81,178],"in":[82],"this":[83],"paper.":[84],"The":[85],"firstly":[87],"use":[88],"frame":[90],"difference":[91],"Euclidean":[94],"distance":[95],"extract":[97],"key":[99],"frames":[100],"under":[101],"spatial":[103],"temporal":[105],"sampling":[106],"video.":[109],"On":[110],"basis":[112],"this,":[114],"global":[116,144],"features":[117,145,157],"(e.g.":[118],"color,":[119],"shape,":[120],"texture)":[121],"are":[122],"fused":[123],"by":[124,141],"different":[125],"weighted":[126],"coefficients,":[127],"then":[128],"vector,":[131],"as":[132],"representation,":[137],"can":[138],"be":[139],"constructed":[140],"fusing":[142],"local":[147],"features.":[148],"Based":[149],"fusion,":[153,171],"correlation":[154],"between":[155],"made":[159],"full":[160],"use.":[161],"Compared":[162],"with":[163],"single":[167],"two-feature":[170],"experimental":[173],"results":[174],"indicate":[175],"has":[181],"better":[182],"effect.":[184]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}