{"id":"https://openalex.org/W1928175208","doi":"https://doi.org/10.1109/cvpr.2015.7298892","title":"Dynamically encoded actions based on spacetime saliency","display_name":"Dynamically encoded actions based on spacetime saliency","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1928175208","doi":"https://doi.org/10.1109/cvpr.2015.7298892","mag":"1928175208"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7298892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298892","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5036069974","display_name":"Christoph Feichtenhofer","orcid":"https://orcid.org/0000-0001-9756-7238"},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Christoph Feichtenhofer","raw_affiliation_strings":["Institute of Electrical Measurement and Measurement Signal Processing, TU Graz, Austria","Institute of Electrical Measurement and Measurement Signal Processing, TU Graz, Austria#TAB#"],"affiliations":[{"raw_affiliation_string":"Institute of Electrical Measurement and Measurement Signal Processing, TU Graz, Austria","institution_ids":["https://openalex.org/I4092182"]},{"raw_affiliation_string":"Institute of Electrical Measurement and Measurement Signal Processing, TU Graz, Austria#TAB#","institution_ids":["https://openalex.org/I4092182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034013413","display_name":"Axel Pinz","orcid":"https://orcid.org/0000-0001-7914-619X"},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Axel Pinz","raw_affiliation_strings":["Institute of Electrical Measurement and Measurement Signal Processing, TU Graz, Austria","Institute of Electrical Measurement and Measurement Signal Processing, TU Graz, Austria#TAB#"],"affiliations":[{"raw_affiliation_string":"Institute of Electrical Measurement and Measurement Signal Processing, TU Graz, Austria","institution_ids":["https://openalex.org/I4092182"]},{"raw_affiliation_string":"Institute of Electrical Measurement and Measurement Signal Processing, TU Graz, Austria#TAB#","institution_ids":["https://openalex.org/I4092182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089232277","display_name":"Richard P. Wildes","orcid":"https://orcid.org/0000-0003-3433-1329"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Richard P. Wildes","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, York University, Toronto, Canada","Department of Electrical Engineering & Computer Science, York University, Toronto, CANADA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, York University, Toronto, Canada","institution_ids":["https://openalex.org/I192455969"]},{"raw_affiliation_string":"Department of Electrical Engineering & Computer Science, York University, Toronto, CANADA","institution_ids":["https://openalex.org/I192455969"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036069974"],"corresponding_institution_ids":["https://openalex.org/I4092182"],"apc_list":null,"apc_paid":null,"fwci":2.7614,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.93551305,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2755","last_page":"2764"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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/T11605","display_name":"Visual Attention and Saliency Detection","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9993000030517578,"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/spacetime","display_name":"Spacetime","score":0.7882497310638428},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.60495924949646},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.24798423051834106},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.12034112215042114}],"concepts":[{"id":"https://openalex.org/C130187892","wikidata":"https://www.wikidata.org/wiki/Q133327","display_name":"Spacetime","level":2,"score":0.7882497310638428},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.60495924949646},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.24798423051834106},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.12034112215042114}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2015.7298892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298892","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7699999809265137}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321181","display_name":"Austrian Science Fund","ror":"https://ror.org/013tf3c58"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W17361091","https://openalex.org/W24089286","https://openalex.org/W136504859","https://openalex.org/W215625348","https://openalex.org/W337346652","https://openalex.org/W396735907","https://openalex.org/W1551774182","https://openalex.org/W1576762698","https://openalex.org/W1595717062","https://openalex.org/W1606858007","https://openalex.org/W1766888123","https://openalex.org/W1850164289","https://openalex.org/W1973210879","https://openalex.org/W1974794302","https://openalex.org/W1979931042","https://openalex.org/W1980176153","https://openalex.org/W1982075130","https://openalex.org/W1984309565","https://openalex.org/W2002781701","https://openalex.org/W2003088946","https://openalex.org/W2016053056","https://openalex.org/W2019725986","https://openalex.org/W2024868105","https://openalex.org/W2027922120","https://openalex.org/W2034014085","https://openalex.org/W2034482269","https://openalex.org/W2037954058","https://openalex.org/W2041719651","https://openalex.org/W2047670868","https://openalex.org/W2055753778","https://openalex.org/W2068611653","https://openalex.org/W2089505226","https://openalex.org/W2097018403","https://openalex.org/W2105101328","https://openalex.org/W2111045798","https://openalex.org/W2113800095","https://openalex.org/W2118246710","https://openalex.org/W2119821739","https://openalex.org/W2126579184","https://openalex.org/W2128305246","https://openalex.org/W2129947832","https://openalex.org/W2130350952","https://openalex.org/W2139594308","https://openalex.org/W2139893168","https://openalex.org/W2142194269","https://openalex.org/W2147238549","https://openalex.org/W2151103935","https://openalex.org/W2156303437","https://openalex.org/W2161969291","https://openalex.org/W2162915993","https://openalex.org/W2163605009","https://openalex.org/W2308045930","https://openalex.org/W2478884216","https://openalex.org/W2963173190","https://openalex.org/W4239510810","https://openalex.org/W6600703085","https://openalex.org/W6605536666","https://openalex.org/W6611559973","https://openalex.org/W6613797824","https://openalex.org/W6633090903","https://openalex.org/W6635755983","https://openalex.org/W6636412649","https://openalex.org/W6637883433","https://openalex.org/W6638985075","https://openalex.org/W6648737282","https://openalex.org/W6664504291","https://openalex.org/W6674642818","https://openalex.org/W6682864246","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Human":[0],"actions":[1,21,49],"typically":[2,16,80],"occur":[3],"over":[4,42,162],"a":[5,46,61,153],"well":[6],"localized":[7],"extent":[8],"in":[9,18,26],"both":[10],"space":[11],"and":[12,91,135],"time.":[13],"Similarly,":[14],"as":[15,152],"captured":[17],"video,":[19],"human":[20,77],"have":[22],"small":[23],"spatiotemporal":[24,146],"support":[25],"image":[27],"space.":[28],"This":[29],"paper":[30],"capitalizes":[31],"on":[32,70,115,164],"these":[33],"observations":[34,72],"by":[35],"weighting":[36],"feature":[37,104],"pooling":[38,105,125],"for":[39],"action":[40,109,119,166],"recognition":[41,110,120,167],"those":[43],"areas":[44],"within":[45],"video":[47],"where":[48],"are":[50,93],"most":[51],"likely":[52],"to":[53,129],"occur.":[54],"To":[55],"enable":[56],"this":[57],"operation,":[58],"we":[59,106,139],"define":[60],"novel":[62],"measure":[63,68],"of":[64,76,87,101,143,155],"spacetime":[65],"saliency.":[66],"The":[67],"relies":[69],"two":[71],"regarding":[73],"foreground":[74],"motion":[75,82],"actors:":[78],"They":[79],"exhibit":[81],"that":[83,86,108,141],"contrasts":[84],"with":[85],"their":[88],"surrounding":[89],"region":[90],"they":[92],"spatially":[94],"compact.":[95],"By":[96],"using":[97],"the":[98,156],"resulting":[99],"definition":[100],"saliency":[102,123,157],"during":[103],"show":[107],"performance":[111,161],"achieves":[112],"state-of-the-art":[113],"levels":[114],"three":[116],"widely":[117],"considered":[118],"datasets.":[121],"Our":[122],"weighted":[124],"can":[126],"be":[127],"applied":[128],"essentially":[130],"any":[131],"locally":[132,144],"defined":[133],"features":[134,168],"encodings":[136],"thereof.":[137],"Additionally,":[138],"demonstrate":[140],"inclusion":[142],"aggregated":[145],"energy":[147],"features,":[148],"which":[149],"efficiently":[150],"result":[151],"by-product":[154],"computation,":[158],"further":[159],"boosts":[160],"reliance":[163],"standard":[165],"alone.":[169]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}