{"id":"https://openalex.org/W2143589017","doi":"https://doi.org/10.1109/icpr.2008.4761475","title":"Video summarization with supervised learning","display_name":"Video summarization with supervised learning","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2143589017","doi":"https://doi.org/10.1109/icpr.2008.4761475","mag":"2143589017"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2008.4761475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761475","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","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/A5002832839","display_name":"Jayanta Kumar Basak","orcid":"https://orcid.org/0000-0002-0718-1444"},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Jayanta Basak","raw_affiliation_strings":["IBM India Research Laboratory, New Delhi, India","IBM India Research Lab., New Delhi"],"affiliations":[{"raw_affiliation_string":"IBM India Research Laboratory, New Delhi, India","institution_ids":["https://openalex.org/I4210103279"]},{"raw_affiliation_string":"IBM India Research Lab., New Delhi","institution_ids":["https://openalex.org/I4210103279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5097884586","display_name":"Varun Luthra","orcid":null},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]},{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Varun Luthra","raw_affiliation_strings":["Dept Electrical Engineering, Indian lnstitute of Technology, New Delhi, India","Dept Electr. Eng., Indian Inst. of Technol., New Delhi"],"affiliations":[{"raw_affiliation_string":"Dept Electrical Engineering, Indian lnstitute of Technology, New Delhi, India","institution_ids":["https://openalex.org/I68891433"]},{"raw_affiliation_string":"Dept Electr. Eng., Indian Inst. of Technol., New Delhi","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086242686","display_name":"Santanu Chaudhury","orcid":"https://orcid.org/0000-0002-5488-7773"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]},{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Santanu Chaudhury","raw_affiliation_strings":["Dept Electrical Engineering, Indian lnstitute of Technology, New Delhi, India","Dept Electr. Eng., Indian Inst. of Technol., New Delhi"],"affiliations":[{"raw_affiliation_string":"Dept Electrical Engineering, Indian lnstitute of Technology, New Delhi, India","institution_ids":["https://openalex.org/I68891433"]},{"raw_affiliation_string":"Dept Electr. Eng., Indian Inst. of Technol., New Delhi","institution_ids":["https://openalex.org/I64295750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002832839"],"corresponding_institution_ids":["https://openalex.org/I4210103279"],"apc_list":null,"apc_paid":null,"fwci":0.4316,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.52890792,"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":"1","last_page":"4"},"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/T11309","display_name":"Music and Audio Processing","score":0.9987000226974487,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9860000014305115,"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/automatic-summarization","display_name":"Automatic summarization","score":0.9793768525123596},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8595598936080933},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.649631142616272},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6389452815055847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6311312913894653},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4283870458602905},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.42170509696006775},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32911622524261475},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1086152195930481}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9793768525123596},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8595598936080933},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.649631142616272},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6389452815055847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6311312913894653},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4283870458602905},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.42170509696006775},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32911622524261475},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1086152195930481},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2008.4761475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761475","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.214.1481","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.1481","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://figment.cse.usf.edu/~sfefilat/data/papers/TuAT8.8.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1639032689","https://openalex.org/W1991848143","https://openalex.org/W1993518282","https://openalex.org/W2010518354","https://openalex.org/W2022037822","https://openalex.org/W2081365535","https://openalex.org/W2118877769","https://openalex.org/W2133409295","https://openalex.org/W2144577430","https://openalex.org/W2166159790","https://openalex.org/W2171908947","https://openalex.org/W3023540311","https://openalex.org/W3036512766","https://openalex.org/W4248215879","https://openalex.org/W6677548441"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W4285328440","https://openalex.org/W4390062853","https://openalex.org/W4389256085","https://openalex.org/W4313644201"],"abstract_inverted_index":{"We":[0,44,57,86],"present":[1],"a":[2,11,24,55,60],"video":[3,74],"summarization":[4,115],"technique":[5,93,108],"based":[6],"on":[7,29,97],"supervised":[8,31],"learning.":[9],"Within":[10],"class":[12,41,100],"of":[13,15,26,91,101],"videos":[14,37],"similar":[16],"nature,":[17],"user":[18,118],"provides":[19],"the":[20,33,39,65,72,78,89,92,106,117],"desired":[21],"summaries":[22,34],"for":[23,35],"subset":[25],"videos.":[27],"Based":[28],"this":[30,84],"information,":[32],"other":[36],"in":[38,71,77],"same":[40],"are":[42],"generated.":[43],"derive":[45],"frame-transitional":[46],"features":[47],"and":[48,75,82,103],"subsequently":[49],"represent":[50],"each":[51],"frame":[52],"transition":[53],"as":[54],"state.":[56],"then":[58],"formulate":[59],"loss":[61],"functional":[62],"to":[63,111],"quantify":[64],"discrepency":[66],"between":[67],"state":[68],"transitional":[69],"probabilities":[70],"original":[73],"that":[76,105],"intended":[79],"summary":[80],"video,":[81],"optimize":[83],"functional.":[85],"experimentally":[87],"validate":[88],"performance":[90],"using":[94],"cross-validation":[95],"scores":[96],"two":[98],"different":[99],"videos,":[102],"demonstrate":[104],"proposed":[107],"is":[109],"able":[110],"produce":[112],"high":[113],"quality":[114],"capturing":[116],"perception.":[119]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
