{"id":"https://openalex.org/W2121407213","doi":"https://doi.org/10.5555/1931390.1931406","title":"Discriminative fields for modeling semantic concepts in video","display_name":"Discriminative fields for modeling semantic concepts in video","publication_year":2007,"publication_date":"2007-05-30","ids":{"openalex":"https://openalex.org/W2121407213","doi":"https://doi.org/10.5555/1931390.1931406","mag":"2121407213"},"language":"en","primary_location":{"id":"pmh:oai:repository.cmu.edu:compsci-1948","is_oa":false,"landing_page_url":"http://repository.cmu.edu/cgi/viewcontent.cgi?article=1948&context=compsci","pdf_url":null,"source":{"id":"https://openalex.org/S4306400668","display_name":"Research Showcase @ Carnegie Mellon University (Carnegie Mellon University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I74973139","host_organization_name":"Carnegie Mellon University","host_organization_lineage":["https://openalex.org/I74973139"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computer Science Department","raw_type":"text"},"type":"article","indexed_in":[],"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/A5036262724","display_name":"Mingyu Chen","orcid":"https://orcid.org/0000-0001-5113-754X"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mingyu Chen","raw_affiliation_strings":["Carnegie-Mellon University, Pittsburgh, PA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103099928","display_name":"Alexander G. Hauptmann","orcid":"https://orcid.org/0000-0003-2123-0684"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander G. Hauptmann","raw_affiliation_strings":["Carnegie-Mellon University, Pittsburgh, PA"],"raw_orcid":"https://orcid.org/0000-0003-2123-0684","affiliations":[{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3033,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.89224616,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"151","last_page":"166"},"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":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval 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/T11439","display_name":"Video Analysis and Summarization","score":0.9987999796867371,"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":0.9959999918937683,"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/discriminative-model","display_name":"Discriminative model","score":0.913027286529541},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7931865453720093},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7528610229492188},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6423056125640869},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5767426490783691},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.5678853392601013},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5395945310592651},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5385078191757202},{"id":"https://openalex.org/keywords/semantic-data-model","display_name":"Semantic data model","score":0.49141252040863037},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4294919967651367},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35525813698768616},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.344420850276947},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3324720859527588},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08081427216529846}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.913027286529541},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7931865453720093},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7528610229492188},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6423056125640869},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5767426490783691},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.5678853392601013},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5395945310592651},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5385078191757202},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.49141252040863037},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4294919967651367},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35525813698768616},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.344420850276947},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3324720859527588},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08081427216529846},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"pmh:oai:repository.cmu.edu:compsci-1948","is_oa":false,"landing_page_url":"http://repository.cmu.edu/cgi/viewcontent.cgi?article=1948&context=compsci","pdf_url":null,"source":{"id":"https://openalex.org/S4306400668","display_name":"Research Showcase @ Carnegie Mellon University (Carnegie Mellon University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I74973139","host_organization_name":"Carnegie Mellon University","host_organization_lineage":["https://openalex.org/I74973139"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computer Science Department","raw_type":"text"},{"id":"pmh:doi:10.1184/r1/6604898","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal contribution"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.124.1764","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.124.1764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.informedia.cs.cmu.edu/documents/mdrf-riao07.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.215.706","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.215.706","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.334.555","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.334.555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.cmu.edu/~mychen/publication/ChenRIAO07.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.949.1900","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.949.1900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://repository.cmu.edu/cgi/viewcontent.cgi?article%3D1948%26context%3Dcompsci","raw_type":"text"},{"id":"mag:2121407213","is_oa":false,"landing_page_url":"http://riao.free.fr/old_riao-2007/papers/38.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7799999713897705,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W570469333","https://openalex.org/W1528905581","https://openalex.org/W1651266332","https://openalex.org/W1772058344","https://openalex.org/W2019599312","https://openalex.org/W2097579725","https://openalex.org/W2108700067","https://openalex.org/W2113137767","https://openalex.org/W2124189704","https://openalex.org/W2130416410","https://openalex.org/W2131193678","https://openalex.org/W2147880316","https://openalex.org/W2917011293","https://openalex.org/W2917727538","https://openalex.org/W3032733955"],"related_works":["https://openalex.org/W2133943532","https://openalex.org/W2279041258","https://openalex.org/W2147880316","https://openalex.org/W2143854982","https://openalex.org/W2306947028","https://openalex.org/W1533912160","https://openalex.org/W2094318386","https://openalex.org/W2265864126","https://openalex.org/W3174586553","https://openalex.org/W2766543929","https://openalex.org/W2011890309","https://openalex.org/W2552598207","https://openalex.org/W2059921199","https://openalex.org/W2332833656","https://openalex.org/W1911638066","https://openalex.org/W2110306668","https://openalex.org/W2170315473","https://openalex.org/W2171881030","https://openalex.org/W2958949884","https://openalex.org/W2050165078"],"abstract_inverted_index":{"A":[0],"current":[1],"trend":[2],"in":[3,33,59,177],"video":[4,81],"analysis":[5],"research":[6],"hypothesizes":[7],"that":[8],"a":[9,18,66,142],"very":[10,43],"large":[11],"number":[12],"of":[13,80,101,110],"semantic":[14,28,51,82,174],"concepts":[15,29,52,88,133],"could":[16,41],"provide":[17],"novel":[19],"way":[20],"to":[21,35,45,53,105,156,167],"characterize,":[22],"retrieve":[23],"and":[24,38,115,153],"understand":[25],"video.":[26,60,178],"These":[27],"do":[30],"not":[31,127],"appear":[32],"isolatation":[34],"each":[36],"other":[37],"thus":[39],"it":[40,155],"be":[42],"useful":[44],"exploit":[46],"the":[47,55,92,99,108,116,130,137,157,168],"relationships":[48],"between":[49,118,132],"multiple":[50],"enhance":[54],"concept":[56,83,111,170,175],"detection":[57,176],"performance":[58],"In":[61],"this":[62,125],"paper":[63],"we":[64],"present":[65,147],"discriminative":[67,102],"learning":[68,171],"framework":[69],"called":[70],"Multi-concept":[71],"Discriminative":[72],"Random":[73],"Field":[74],"(MDRF)":[75],"for":[76,173],"building":[77],"probabilistic":[78],"models":[79,104],"detectors":[84],"by":[85],"incorporating":[86],"related":[87,119],"as":[89,91],"well":[90],"low-level":[93],"observations.":[94],"The":[95],"proposed":[96],"model":[97,126],"exploits":[98],"power":[100],"graphical":[103],"simultaneously":[106],"capture":[107],"associations":[109],"with":[112,122],"observed":[113],"data":[114,139],"interactions":[117],"concepts.":[120],"Compared":[121],"previous":[123],"methods,":[124],"only":[128],"captures":[129],"co-occurrence":[131],"but":[134],"also":[135,146],"incorporates":[136],"raw":[138],"observations":[140],"into":[141],"unified":[143],"framework.":[144],"We":[145],"an":[148],"approximate":[149],"parameter":[150],"estimation":[151],"algorithm":[152],"apply":[154],"TRECVID":[158],"2005":[159],"data.":[160],"Our":[161],"experiments":[162],"show":[163],"promising":[164],"results":[165],"compared":[166],"single":[169],"approach":[172],"1.":[179]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}