{"id":"https://openalex.org/W2518934810","doi":"https://doi.org/10.1007/978-3-319-46454-1_19","title":"Recurrent Temporal Deep Field for Semantic Video Labeling","display_name":"Recurrent Temporal Deep Field for Semantic Video Labeling","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2518934810","doi":"https://doi.org/10.1007/978-3-319-46454-1_19","mag":"2518934810"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-46454-1_19","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-46454-1_19","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-319-46454-1_19.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-319-46454-1_19.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043565689","display_name":"Peng Lei","orcid":"https://orcid.org/0000-0001-7422-0258"},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Peng Lei","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, USA","institution_ids":["https://openalex.org/I131249849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027742996","display_name":"Sini\u0161a Todorovi\u0107","orcid":"https://orcid.org/0000-0001-5793-5921"},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sinisa Todorovic","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, USA","institution_ids":["https://openalex.org/I131249849"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5043565689"],"corresponding_institution_ids":["https://openalex.org/I131249849"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.5555,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.83755853,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"302","last_page":"317"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9997000098228455,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9997000098228455,"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/T11309","display_name":"Music and Audio Processing","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11439","display_name":"Video Analysis and Summarization","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/conditional-random-field","display_name":"Conditional random field","score":0.90189528465271},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8110736608505249},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6758266687393188},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6227035522460938},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.592383861541748},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5751537084579468},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5154088735580444},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5089006423950195},{"id":"https://openalex.org/keywords/unary-operation","display_name":"Unary operation","score":0.4865049719810486},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.46784648299217224},{"id":"https://openalex.org/keywords/boltzmann-machine","display_name":"Boltzmann machine","score":0.45540791749954224},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4113253951072693},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3421820402145386},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3397642970085144},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09848085045814514}],"concepts":[{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.90189528465271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8110736608505249},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6758266687393188},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6227035522460938},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.592383861541748},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5751537084579468},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5154088735580444},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5089006423950195},{"id":"https://openalex.org/C78023250","wikidata":"https://www.wikidata.org/wiki/Q657596","display_name":"Unary operation","level":2,"score":0.4865049719810486},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.46784648299217224},{"id":"https://openalex.org/C192576344","wikidata":"https://www.wikidata.org/wiki/Q194706","display_name":"Boltzmann machine","level":3,"score":0.45540791749954224},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4113253951072693},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3421820402145386},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3397642970085144},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09848085045814514},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-46454-1_19","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-46454-1_19","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-319-46454-1_19.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-319-46454-1_19","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-46454-1_19","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-319-46454-1_19.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3525269594","display_name":null,"funder_award_id":"1302700","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2518934810.pdf","grobid_xml":"https://content.openalex.org/works/W2518934810.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W61823270","https://openalex.org/W1496571393","https://openalex.org/W1507506748","https://openalex.org/W1565402342","https://openalex.org/W1610707153","https://openalex.org/W1697053819","https://openalex.org/W1745334888","https://openalex.org/W1813659000","https://openalex.org/W1842610785","https://openalex.org/W1903029394","https://openalex.org/W1923697677","https://openalex.org/W1973071925","https://openalex.org/W1981283549","https://openalex.org/W2019464758","https://openalex.org/W2022508996","https://openalex.org/W2030346542","https://openalex.org/W2059424674","https://openalex.org/W2075505763","https://openalex.org/W2083597815","https://openalex.org/W2085573975","https://openalex.org/W2095844239","https://openalex.org/W2114096665","https://openalex.org/W2116064496","https://openalex.org/W2124592697","https://openalex.org/W2135341757","https://openalex.org/W2136786668","https://openalex.org/W2138682569","https://openalex.org/W2147880316","https://openalex.org/W2150066425","https://openalex.org/W2153423793","https://openalex.org/W2158097779","https://openalex.org/W2158164339","https://openalex.org/W2161914416","https://openalex.org/W2167510172","https://openalex.org/W2168572441","https://openalex.org/W2171943915","https://openalex.org/W2220927421","https://openalex.org/W2296354685","https://openalex.org/W2542898981","https://openalex.org/W2766736793","https://openalex.org/W2949117887","https://openalex.org/W2951277909","https://openalex.org/W4244914727","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2888918612","https://openalex.org/W2166285859","https://openalex.org/W3148597776","https://openalex.org/W2060412688","https://openalex.org/W1538206641","https://openalex.org/W3211656382","https://openalex.org/W2025370853","https://openalex.org/W4235940179","https://openalex.org/W1972183506","https://openalex.org/W2592997798"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-03-15T09:29:46.208133","created_date":"2025-10-10T00:00:00"}