{"id":"https://openalex.org/W1935815778","doi":"https://doi.org/10.1109/iwssip.2015.7314184","title":"Bo(V)W models for object recognition from video","display_name":"Bo(V)W models for object recognition from video","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W1935815778","doi":"https://doi.org/10.1109/iwssip.2015.7314184","mag":"1935815778"},"language":"en","primary_location":{"id":"doi:10.1109/iwssip.2015.7314184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip.2015.7314184","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","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/A5048510237","display_name":"Warren Rieutort\u2010Louis","orcid":null},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Warren Rieutort-Louis","raw_affiliation_strings":["University of Cambridge, Cambridge, UK","University of Cambridge, Cambridge CB2 1TQ, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cambridge, Cambridge, UK","institution_ids":["https://openalex.org/I241749"]},{"raw_affiliation_string":"University of Cambridge, Cambridge CB2 1TQ, UK","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020799762","display_name":"Ognjen Arandjelovi\u0107","orcid":"https://orcid.org/0000-0002-9314-194X"},"institutions":[{"id":"https://openalex.org/I16835326","display_name":"University of St Andrews","ror":"https://ror.org/02wn5qz54","country_code":"GB","type":"education","lineage":["https://openalex.org/I16835326"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ognjen Arandjelovic","raw_affiliation_strings":["University of St Andrews, St Andrews, UK","University of St Andrews, St Andrews, KY16 9SX, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of St Andrews, St Andrews, UK","institution_ids":["https://openalex.org/I16835326"]},{"raw_affiliation_string":"University of St Andrews, St Andrews, KY16 9SX, UK","institution_ids":["https://openalex.org/I16835326"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1233,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.84435913,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"89","last_page":"92"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9977999925613403,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9973999857902527,"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":0.7967802882194519},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7654643058776855},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6963024735450745},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6346527338027954},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6299604773521423},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5935860276222229},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5681465268135071},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4827710688114166},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.48088887333869934},{"id":"https://openalex.org/keywords/bag-of-words-model-in-computer-vision","display_name":"Bag-of-words model in computer vision","score":0.4643701910972595},{"id":"https://openalex.org/keywords/3d-single-object-recognition","display_name":"3D single-object recognition","score":0.4397856593132019},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2983294725418091},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.198327898979187},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.17842614650726318}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7967802882194519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7654643058776855},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6963024735450745},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6346527338027954},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6299604773521423},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5935860276222229},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5681465268135071},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4827710688114166},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.48088887333869934},{"id":"https://openalex.org/C167611913","wikidata":"https://www.wikidata.org/wiki/Q6884747","display_name":"Bag-of-words model in computer vision","level":5,"score":0.4643701910972595},{"id":"https://openalex.org/C14551309","wikidata":"https://www.wikidata.org/wiki/Q4636325","display_name":"3D single-object recognition","level":4,"score":0.4397856593132019},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2983294725418091},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.198327898979187},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.17842614650726318},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwssip.2015.7314184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip.2015.7314184","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1506013575","https://openalex.org/W1525596811","https://openalex.org/W1572399308","https://openalex.org/W1993330042","https://openalex.org/W1995394357","https://openalex.org/W2014161082","https://openalex.org/W2019464758","https://openalex.org/W2052964740","https://openalex.org/W2061845203","https://openalex.org/W2063303957","https://openalex.org/W2118132750","https://openalex.org/W2131846894","https://openalex.org/W2141362318","https://openalex.org/W2145862222","https://openalex.org/W2151103935","https://openalex.org/W2152931102","https://openalex.org/W2159902911","https://openalex.org/W2160225842","https://openalex.org/W2161969291","https://openalex.org/W2171706135","https://openalex.org/W2172196609","https://openalex.org/W2962746545","https://openalex.org/W6634420632","https://openalex.org/W6684936967","https://openalex.org/W7023791211"],"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":{"In":[0],"this":[1],"paper":[2],"we":[3],"introduce":[4],"two":[5,75],"novel":[6],"methods":[7],"for":[8,40,44],"object":[9,69],"recognition":[10,45],"from":[11],"video.":[12],"Our":[13],"major":[14],"contributions":[15],"are":[16],"(i)":[17],"the":[18,30,57,103,114],"use":[19],"of":[20,27,32,53,56,79,97,105,113],"dense,":[21],"overlapping":[22],"local":[23],"descriptors":[24],"as":[25],"means":[26],"accurately":[28],"capturing":[29],"appearance":[31,82],"generic,":[33],"even":[34],"untextured":[35],"objects,":[36],"(ii)":[37],"a":[38,49,62,67,84,89,95,109],"framework":[39],"employing":[41],"such":[42],"sets":[43],"using":[46,88,94],"video,":[47],"(iii)":[48],"detailed":[50],"empirical":[51],"examination":[52],"different":[54],"aspects":[55],"proposed":[58],"model":[59],"and":[60,73,92],"(iv)":[61],"comparative":[63],"performance":[64,112],"evaluation":[65],"on":[66],"large":[68],"database.":[70],"We":[71],"describe":[72],"compare":[74],"bag-of-visual-words":[76],"(BoVW)-based":[77],"representations":[78,107],"an":[80],"object's":[81],"in":[83],"video":[85],"sequence,":[86],"one":[87,93],"per-sequence":[90],"bag-of-words":[91],"set":[96],"per-frame":[98],"bag-of-words.":[99],"Empirical":[100],"results":[101],"demonstrate":[102],"effectiveness":[104],"both":[106],"with":[108],"somewhat":[110],"favourable":[111],"former.":[115]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}