{"id":"https://openalex.org/W1966138214","doi":"https://doi.org/10.1117/12.2031760","title":"A MapReduce scheme for image feature extraction and its application to man-made object detection","display_name":"A MapReduce scheme for image feature extraction and its application to man-made object detection","publication_year":2013,"publication_date":"2013-07-19","ids":{"openalex":"https://openalex.org/W1966138214","doi":"https://doi.org/10.1117/12.2031760","mag":"1966138214"},"language":"en","primary_location":{"id":"doi:10.1117/12.2031760","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2031760","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5021897885","display_name":"Fei Cai","orcid":"https://orcid.org/0000-0003-4124-7846"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Cai","raw_affiliation_strings":["National Univ. of Defense Technology (China)","National University of Defense Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Univ. of Defense Technology (China)","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026327666","display_name":"Honghui Chen","orcid":"https://orcid.org/0009-0003-5234-0592"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honghui Chen","raw_affiliation_strings":["National Univ. of Defense Technology (China)","National University of Defense Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Univ. of Defense Technology (China)","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.2079,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.38904579,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8878","issue":null,"first_page":"88782D","last_page":"88782D"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9986000061035156,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9986000061035156,"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":0.9976999759674072,"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":0.9908999800682068,"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":0.8998486995697021},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.708412766456604},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6930148005485535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6674845218658447},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5671957731246948},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.5568554401397705},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5457902550697327},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5378860831260681},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5377452969551086},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.511032223701477},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46626242995262146},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4643661677837372},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.33579570055007935}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8998486995697021},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.708412766456604},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6930148005485535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6674845218658447},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5671957731246948},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.5568554401397705},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5457902550697327},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5378860831260681},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5377452969551086},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.511032223701477},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46626242995262146},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4643661677837372},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.33579570055007935},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2031760","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2031760","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310207","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2312819198","https://openalex.org/W3036032503","https://openalex.org/W4280622786","https://openalex.org/W2561491196","https://openalex.org/W2319500318","https://openalex.org/W4379791551","https://openalex.org/W1997438849","https://openalex.org/W4312753625","https://openalex.org/W2356662304","https://openalex.org/W2376671254"],"abstract_inverted_index":{"A":[0],"fundamental":[1],"challenge":[2],"in":[3,57,81],"image":[4,59,66,70],"engineering":[5],"is":[6],"how":[7],"to":[8,68,78],"locate":[9],"interested":[10],"objects":[11,21,107],"from":[12],"high-resolution":[13],"images":[14],"with":[15,105],"efficient":[16],"detection":[17,22,42,56,108],"performance.":[18,109],"Several":[19],"man-made":[20,54],"approaches":[23],"have":[24],"been":[25],"proposed":[26],"while":[27],"the":[28,96],"majority":[29],"of":[30,41],"these":[31],"methods":[32],"are":[33],"not":[34],"truly":[35],"timesaving":[36],"and":[37,86,90],"suffer":[38],"low":[39],"degree":[40],"precision.":[43],"To":[44],"address":[45],"this":[46],"issue,":[47],"we":[48],"propose":[49],"a":[50,82],"novel":[51],"approach":[52],"for":[53,63,102],"object":[55],"aerial":[58],"involving":[60],"MapReduce":[61],"scheme":[62],"large":[64],"scale":[65],"analysis":[67],"support":[69],"feature":[71,88,103],"extraction,":[72],"which":[73],"can":[74],"be":[75],"widely":[76],"used":[77],"compute-intensive":[79],"tasks":[80],"highly":[83],"parallel":[84,97],"way,":[85],"texture":[87],"extraction":[89,104],"clustering.":[91],"Comprehensive":[92],"experiments":[93],"show":[94],"that":[95],"framework":[98],"saves":[99],"voluminous":[100],"time":[101],"satisfied":[106]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
