{"id":"https://openalex.org/W2104748877","doi":"https://doi.org/10.1109/icme.2005.1521470","title":"Discriminative Techniques for Keyframe Selection","display_name":"Discriminative Techniques for Keyframe Selection","publication_year":2005,"publication_date":"2005-10-24","ids":{"openalex":"https://openalex.org/W2104748877","doi":"https://doi.org/10.1109/icme.2005.1521470","mag":"2104748877"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2005.1521470","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2005.1521470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Multimedia and Expo","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/A5069841532","display_name":"Matthew Cooper","orcid":"https://orcid.org/0000-0003-2395-8628"},"institutions":[{"id":"https://openalex.org/I26274970","display_name":"FX Palo Alto Laboratory","ror":"https://ror.org/05ef4zt88","country_code":"US","type":"facility","lineage":["https://openalex.org/I26274970"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Cooper","raw_affiliation_strings":["FX Palo Alto Laboratory, Inc., Palo Alto, CA, USA","FX Palo Alto Lab., CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FX Palo Alto Laboratory, Inc., Palo Alto, CA, USA","institution_ids":["https://openalex.org/I26274970"]},{"raw_affiliation_string":"FX Palo Alto Lab., CA, USA","institution_ids":["https://openalex.org/I26274970"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087467671","display_name":"Jonathan Foote","orcid":"https://orcid.org/0000-0003-4411-1362"},"institutions":[{"id":"https://openalex.org/I26274970","display_name":"FX Palo Alto Laboratory","ror":"https://ror.org/05ef4zt88","country_code":"US","type":"facility","lineage":["https://openalex.org/I26274970"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Foote","raw_affiliation_strings":["FX Palo Alto Laboratory, Inc., Palo Alto, CA, USA","FX Palo Alto Lab., CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FX Palo Alto Laboratory, Inc., Palo Alto, CA, USA","institution_ids":["https://openalex.org/I26274970"]},{"raw_affiliation_string":"FX Palo Alto Lab., CA, USA","institution_ids":["https://openalex.org/I26274970"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6918,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.90899585,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"502","last_page":"505"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","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/T11439","display_name":"Video Analysis and Summarization","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9986000061035156,"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":0.878010630607605},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8648248910903931},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.7826577425003052},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6527059078216553},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5429295301437378},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5243380665779114},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4235856235027313},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4031860828399658},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13790777325630188}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.878010630607605},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8648248910903931},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.7826577425003052},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6527059078216553},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5429295301437378},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5243380665779114},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4235856235027313},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4031860828399658},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13790777325630188},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icme.2005.1521470","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2005.1521470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.421.4450","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.421.4450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.fxpal.com/publications/FXPAL-PR-05-324.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.468.2503","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.468.2503","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cecs.uci.edu/~papers/icme05/defevent/papers/cr1319.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1484670493","https://openalex.org/W1660463500","https://openalex.org/W2010560725","https://openalex.org/W2072773380","https://openalex.org/W2076029968","https://openalex.org/W2076373480","https://openalex.org/W2084134149","https://openalex.org/W2094301068","https://openalex.org/W2095116991","https://openalex.org/W2119204357","https://openalex.org/W2128618367","https://openalex.org/W2156938472","https://openalex.org/W3017143921","https://openalex.org/W6628903870"],"related_works":["https://openalex.org/W2073139667","https://openalex.org/W1652783584","https://openalex.org/W2729514902","https://openalex.org/W2024160000","https://openalex.org/W1990254706","https://openalex.org/W2773500201","https://openalex.org/W2061273563","https://openalex.org/W2285052147","https://openalex.org/W4287995534","https://openalex.org/W2743258233"],"abstract_inverted_index":{"A":[0],"convenient":[1],"representation":[2],"of":[3,27,94],"a":[4,8],"video":[5,22,31],"segment":[6,73],"is":[7],"single":[9],"\"keyframe\".":[10],"Keyframes":[11],"are":[12],"widely":[13],"used":[14],"in":[15,34],"applications":[16],"such":[17],"as":[18],"non-linear":[19],"browsing":[20],"and":[21,67,91],"editing.":[23],"With":[24],"existing":[25],"methods":[26,52],"keyframe":[28,54,88],"selection,":[29],"similar":[30,36],"segments":[32,46,78],"result":[33],"very":[35],"keyframes,":[37,74],"with":[38],"the":[39,45,61,64,69],"drawback":[40],"that":[41,76],"actual":[42],"differences":[43,70],"between":[44],"may":[47],"be":[48],"obscured.":[49],"We":[50,84],"present":[51,85],"for":[53],"selection":[55,89],"based":[56],"on":[57],"two":[58,86],"criteria:":[59],"capturing":[60],"similarity":[62],"to":[63],"represented":[65],"segment,":[66],"preserving":[68],"from":[71],"other":[72],"so":[75],"different":[77],"will":[79],"have":[80],"visually":[81],"distinct":[82],"representations.":[83],"discriminative":[87],"methods,":[90],"an":[92],"example":[93],"experimental":[95],"results.":[96]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":5},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
