{"id":"https://openalex.org/W3195820617","doi":"https://doi.org/10.1109/iccta37466.2015.9513431","title":"Multiclass Object Recognition Using Object-based and Local Image Features Extractors","display_name":"Multiclass Object Recognition Using Object-based and Local Image Features Extractors","publication_year":2015,"publication_date":"2015-10-24","ids":{"openalex":"https://openalex.org/W3195820617","doi":"https://doi.org/10.1109/iccta37466.2015.9513431","mag":"3195820617"},"language":"en","primary_location":{"id":"doi:10.1109/iccta37466.2015.9513431","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccta37466.2015.9513431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 25th International Conference on Computer Theory and Applications (ICCTA)","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/A5081382611","display_name":"Menna Maged Kamel","orcid":"https://orcid.org/0000-0002-1922-5993"},"institutions":[{"id":"https://openalex.org/I59272784","display_name":"Arab Academy for Science, Technology, and Maritime Transport","ror":"https://ror.org/0004vyj87","country_code":"EG","type":"education","lineage":["https://openalex.org/I59272784"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Menna Maged Kamel","raw_affiliation_strings":["College of Computing and Information Technology, Arab Academy for Science and Technology, Cairo, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computing and Information Technology, Arab Academy for Science and Technology, Cairo, Egypt","institution_ids":["https://openalex.org/I59272784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015947297","display_name":"Mohamed Waleed Fakhr","orcid":"https://orcid.org/0000-0001-5147-2639"},"institutions":[{"id":"https://openalex.org/I59272784","display_name":"Arab Academy for Science, Technology, and Maritime Transport","ror":"https://ror.org/0004vyj87","country_code":"EG","type":"education","lineage":["https://openalex.org/I59272784"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohamed Waleed Fakhr","raw_affiliation_strings":["College of Computing and Information Technology, Arab Academy for Science and Technology, Cairo, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computing and Information Technology, Arab Academy for Science and Technology, Cairo, Egypt","institution_ids":["https://openalex.org/I59272784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000734505","display_name":"H. I. Saleh","orcid":"https://orcid.org/0000-0001-5395-2214"},"institutions":[{"id":"https://openalex.org/I3089115","display_name":"Egyptian Atomic Energy Authority","ror":"https://ror.org/04hd0yz67","country_code":"EG","type":"government","lineage":["https://openalex.org/I3089115"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"H. I. Saleh","raw_affiliation_strings":["Radiation Engineering Department, Atomic Energy Authority, Cairo, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Radiation Engineering Department, Atomic Energy Authority, Cairo, Egypt","institution_ids":["https://openalex.org/I3089115"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006235823","display_name":"M. B. Abdelhalim","orcid":"https://orcid.org/0000-0002-1803-6349"},"institutions":[{"id":"https://openalex.org/I59272784","display_name":"Arab Academy for Science, Technology, and Maritime Transport","ror":"https://ror.org/0004vyj87","country_code":"EG","type":"education","lineage":["https://openalex.org/I59272784"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"M. B. Abdelhalim","raw_affiliation_strings":["College of Computing and Information Technology, Arab Academy for Science and Technology, Cairo, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computing and Information Technology, Arab Academy for Science and Technology, Cairo, Egypt","institution_ids":["https://openalex.org/I59272784"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"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":0.33195511,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"202","last_page":"207"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9988999962806702,"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":0.9891999959945679,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.847011148929596},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7404162287712097},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7333433032035828},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.721808910369873},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6962639689445496},{"id":"https://openalex.org/keywords/zernike-polynomials","display_name":"Zernike polynomials","score":0.6477645039558411},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.625293493270874},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5443955063819885},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5157687664031982},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4967420697212219},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.46438464522361755},{"id":"https://openalex.org/keywords/bag-of-words-model-in-computer-vision","display_name":"Bag-of-words model in computer vision","score":0.4347003102302551},{"id":"https://openalex.org/keywords/3d-single-object-recognition","display_name":"3D single-object recognition","score":0.41489261388778687},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29798978567123413},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.18877115845680237},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.1615094542503357}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.847011148929596},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7404162287712097},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7333433032035828},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.721808910369873},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6962639689445496},{"id":"https://openalex.org/C92423082","wikidata":"https://www.wikidata.org/wiki/Q132146","display_name":"Zernike polynomials","level":3,"score":0.6477645039558411},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.625293493270874},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5443955063819885},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5157687664031982},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4967420697212219},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.46438464522361755},{"id":"https://openalex.org/C167611913","wikidata":"https://www.wikidata.org/wiki/Q6884747","display_name":"Bag-of-words model in computer vision","level":5,"score":0.4347003102302551},{"id":"https://openalex.org/C14551309","wikidata":"https://www.wikidata.org/wiki/Q4636325","display_name":"3D single-object recognition","level":4,"score":0.41489261388778687},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29798978567123413},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.18877115845680237},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.1615094542503357},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C165699331","wikidata":"https://www.wikidata.org/wiki/Q461533","display_name":"Wavefront","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccta37466.2015.9513431","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccta37466.2015.9513431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 25th International Conference on Computer Theory and Applications (ICCTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1560760484","https://openalex.org/W1576445103","https://openalex.org/W1677409904","https://openalex.org/W1964601719","https://openalex.org/W1969553436","https://openalex.org/W1993030881","https://openalex.org/W1993531155","https://openalex.org/W2012592962","https://openalex.org/W2017214807","https://openalex.org/W2019430009","https://openalex.org/W2030537063","https://openalex.org/W2040367372","https://openalex.org/W2045010718","https://openalex.org/W2077684263","https://openalex.org/W2081867911","https://openalex.org/W2086936614","https://openalex.org/W2097018403","https://openalex.org/W2118376687","https://openalex.org/W2124386111","https://openalex.org/W2139618600","https://openalex.org/W2143314306","https://openalex.org/W2144937830","https://openalex.org/W2145406111","https://openalex.org/W2156890333","https://openalex.org/W2159498975","https://openalex.org/W2162881463","https://openalex.org/W2162915993","https://openalex.org/W2165828254","https://openalex.org/W2166049352","https://openalex.org/W2166099224","https://openalex.org/W2166742463","https://openalex.org/W3098496237","https://openalex.org/W6680752570"],"related_works":["https://openalex.org/W196505194","https://openalex.org/W2578478211","https://openalex.org/W2207218974","https://openalex.org/W2387237626","https://openalex.org/W2182443753","https://openalex.org/W2014001742","https://openalex.org/W2403129783","https://openalex.org/W4394017669","https://openalex.org/W2188151889","https://openalex.org/W1841786463"],"abstract_inverted_index":{"This":[0],"paper":[1],"examines":[2],"a":[3,58],"combined":[4,83],"feature":[5,84],"extraction":[6,85],"method":[7,13],"for":[8,72],"visual":[9],"object":[10,73],"recognition.":[11],"The":[12,63],"is":[14,51],"based":[15],"on":[16,39,53,67,96],"applying":[17],"Bag":[18],"of":[19],"words":[20],"(BoW)":[21],"using":[22,57],"the":[23,31,40,54,87,91,97],"object-based":[24],"Zernike":[25],"Moment":[26],"(ZM)":[27],"shape":[28],"descriptor":[29,38],"and":[30,78],"Speeded":[32],"up":[33],"Robust":[34],"Features":[35],"(SURF)":[36],"local":[37],"detected":[41],"objects":[42],"in":[43],"an":[44],"image.":[45],"Support":[46],"Vector":[47],"Machine":[48],"(SVM)":[49],"classifier":[50],"trained":[52],"extracted":[55],"features":[56],"one":[59],"versus":[60],"all":[61],"method.":[62],"experiments":[64],"are":[65],"tested":[66],"two":[68],"benchmark":[69],"data":[70],"sets":[71],"recognition":[74],"like":[75],"COREL":[76],"1000,":[77],"Caltech":[79],"101.":[80],"Using":[81],"this":[82],"method,":[86],"derived":[88],"results":[89],"outperform":[90],"other":[92],"published":[93],"methods":[94],"applied":[95],"same":[98],"databases.":[99]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}