{"id":"https://openalex.org/W2564394758","doi":"https://doi.org/10.1109/dicta.2016.7797041","title":"Fast Binary-Based Video Descriptors for Action Recognition","display_name":"Fast Binary-Based Video Descriptors for Action Recognition","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2564394758","doi":"https://doi.org/10.1109/dicta.2016.7797041","mag":"2564394758"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2016.7797041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2016.7797041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","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/A5055392319","display_name":"Roberto Leyva","orcid":"https://orcid.org/0000-0003-4561-8798"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Roberto Leyva","raw_affiliation_strings":["University Of Warwick"],"affiliations":[{"raw_affiliation_string":"University Of Warwick","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100634965","display_name":"V\u00edctor S\u00e1nchez","orcid":"https://orcid.org/0000-0002-7089-7031"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Victor Sanchez","raw_affiliation_strings":["University Of Warwick"],"affiliations":[{"raw_affiliation_string":"University Of Warwick","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"last","author":{"id":null,"display_name":"Tsun-Li Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tsun-Li Chang","raw_affiliation_strings":["University Of Warwick"],"affiliations":[{"raw_affiliation_string":"University Of Warwick","institution_ids":["https://openalex.org/I39555362"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055392319"],"corresponding_institution_ids":["https://openalex.org/I39555362"],"apc_list":null,"apc_paid":null,"fwci":0.8447,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81627573,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"5303","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","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/T10812","display_name":"Human Pose and Action Recognition","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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10531","display_name":"Advanced Vision and Imaging","score":0.9965999722480774,"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":0.7179397940635681},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7020853757858276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6830368041992188},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.6291666626930237},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5746672749519348},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.48808300495147705},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.45522627234458923},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.425403356552124},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.4238704442977905},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.41097766160964966},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3405815362930298},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.2924017310142517},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19958409667015076},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1637383997440338}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7179397940635681},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7020853757858276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6830368041992188},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.6291666626930237},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5746672749519348},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.48808300495147705},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.45522627234458923},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.425403356552124},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.4238704442977905},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.41097766160964966},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3405815362930298},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.2924017310142517},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19958409667015076},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1637383997440338},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dicta.2016.7797041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2016.7797041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30121418","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402457","display_name":"Deakin Research Online (Deakin University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W136504859","https://openalex.org/W1491719799","https://openalex.org/W1534763723","https://openalex.org/W1595717062","https://openalex.org/W1920196880","https://openalex.org/W1944615693","https://openalex.org/W1969103114","https://openalex.org/W1973166425","https://openalex.org/W1981781955","https://openalex.org/W1995266040","https://openalex.org/W2024868105","https://openalex.org/W2028333117","https://openalex.org/W2033510107","https://openalex.org/W2034328688","https://openalex.org/W2052408227","https://openalex.org/W2068611653","https://openalex.org/W2104853049","https://openalex.org/W2108333036","https://openalex.org/W2109761267","https://openalex.org/W2117228865","https://openalex.org/W2119799051","https://openalex.org/W2141584146","https://openalex.org/W2142194269","https://openalex.org/W2152287725","https://openalex.org/W2162212468","https://openalex.org/W2163352848","https://openalex.org/W2164598857","https://openalex.org/W2533739470","https://openalex.org/W4249279051","https://openalex.org/W6640153615","https://openalex.org/W6680835844"],"related_works":["https://openalex.org/W2055219403","https://openalex.org/W2468279273","https://openalex.org/W2791313072","https://openalex.org/W3166997759","https://openalex.org/W2354198838","https://openalex.org/W2794489335","https://openalex.org/W1989130879","https://openalex.org/W2103419012","https://openalex.org/W2080437822","https://openalex.org/W2153027217"],"abstract_inverted_index":{"Action":[0],"recognition":[1,26,118],"is":[2],"one":[3],"of":[4,25,74],"the":[5,52,70,90,105],"top":[6],"challenges":[7],"in":[8,23,161],"computer":[9],"vision.":[10],"In":[11],"this":[12],"paper,":[13],"we":[14,66],"present":[15],"two":[16],"binary-based":[17],"video":[18,76],"descriptors":[19,34,48,114,136,146,180],"with":[20,60,183],"outstanding":[21],"characteristics":[22],"terms":[24],"rate,":[27],"computational":[28,127],"times":[29,128],"and":[30,41,56,107,129,147,166],"memory":[31,131],"requirements.":[32,132],"The":[33],"are":[35,49,122],"called":[36],"Binary":[37,42],"Wavelet":[38],"Differences":[39],"(BWD)":[40],"Dense":[43],"Trajectories":[44],"(BDT).":[45],"Our":[46,102],"proposed":[47,113,135],"based":[50],"on":[51,104],"local":[53],"binary":[54,58,80,100,157],"patterns":[55],"produce":[57],"vectors":[59],"a":[61,75,98],"very":[62,116],"low":[63],"dimensionality.":[64],"Specifically,":[65,133],"propose":[67,87],"to":[68,78,88,124,141,150,155,172],"analyze":[69],"spatio-temporal":[71],"support":[72],"regions":[73],"sequence":[77],"generate":[79],"strings":[81],"via":[82],"wavelets":[83],"patterns.":[84],"We":[85],"also":[86],"encode":[89],"motion":[91],"information":[92],"obtained":[93],"from":[94],"optical":[95],"flow":[96],"into":[97],"compact":[99],"representation.":[101],"evaluations":[103],"KTH":[106],"UCF50":[108],"datasets":[109],"demonstrate":[110],"that":[111],"our":[112,134,179],"achieve":[115],"competitive":[117],"accuracy.":[119],"Moreover,":[120],"they":[121],"able":[123],"attain":[125],"shorter":[126],"smaller":[130],"can":[137,168],"be":[138,169],"calculated":[139],"up":[140,149,171],"20X":[142],"faster":[143,174],"than":[144,175,187],"orientation-based":[145],"require":[148,181],"225X":[151],"less":[152],"memory.":[153],"Due":[154],"its":[156],"nature,":[158],"associated":[159],"calculations":[160],"action":[162],"recognition,":[163],"e.g.":[164],"clustering":[165],"classification,":[167],"done":[170],"40X":[173],"state-of-the-art":[176,192],"descriptors.":[177,193],"Finally,":[178],"codebooks":[182],"2X":[184],"fewer":[185],"words":[186],"those":[188],"required":[189],"by":[190],"other":[191]},"counts_by_year":[{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
