{"id":"https://openalex.org/W2088811195","doi":"https://doi.org/10.1145/2484028.2484237","title":"Segmentation strategies for passage retrieval in audio-visual documents","display_name":"Segmentation strategies for passage retrieval in audio-visual documents","publication_year":2013,"publication_date":"2013-07-28","ids":{"openalex":"https://openalex.org/W2088811195","doi":"https://doi.org/10.1145/2484028.2484237","mag":"2088811195"},"language":"en","primary_location":{"id":"doi:10.1145/2484028.2484237","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2484028.2484237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval","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/A5025446188","display_name":"Petra Galu\u0161\u010d\u00e1kov\u00e1","orcid":"https://orcid.org/0000-0001-6328-7131"},"institutions":[{"id":"https://openalex.org/I21250087","display_name":"Charles University","ror":"https://ror.org/024d6js02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21250087"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Petra Galu\u0161\u010d\u00e1kov\u00e1","raw_affiliation_strings":["Charles University in Prague, Faculty of Mathematics and Physics, Prague, Czech Rep","Charles University in Prague, Faculty of Mathematics and Physics, Prague, Czech Rep#TAB#"],"affiliations":[{"raw_affiliation_string":"Charles University in Prague, Faculty of Mathematics and Physics, Prague, Czech Rep","institution_ids":["https://openalex.org/I21250087"]},{"raw_affiliation_string":"Charles University in Prague, Faculty of Mathematics and Physics, Prague, Czech Rep#TAB#","institution_ids":["https://openalex.org/I21250087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5025446188"],"corresponding_institution_ids":["https://openalex.org/I21250087"],"apc_list":null,"apc_paid":null,"fwci":0.3192,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59476397,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1143","last_page":"1143"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998999834060669,"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":0.9980000257492065,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9955000281333923,"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/computer-science","display_name":"Computer science","score":0.8538923263549805},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6808758974075317},{"id":"https://openalex.org/keywords/document-retrieval","display_name":"Document retrieval","score":0.6188438534736633},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5948259830474854},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.5495754480361938},{"id":"https://openalex.org/keywords/audio-visual","display_name":"Audio visual","score":0.5439498424530029},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5306825637817383},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5280502438545227},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.42344313859939575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34673571586608887},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.2138158082962036},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1220082938671112}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8538923263549805},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6808758974075317},{"id":"https://openalex.org/C161156560","wikidata":"https://www.wikidata.org/wiki/Q1638872","display_name":"Document retrieval","level":2,"score":0.6188438534736633},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5948259830474854},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.5495754480361938},{"id":"https://openalex.org/C3017588708","wikidata":"https://www.wikidata.org/wiki/Q758901","display_name":"Audio visual","level":2,"score":0.5439498424530029},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5306825637817383},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5280502438545227},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.42344313859939575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34673571586608887},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.2138158082962036},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1220082938671112},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2484028.2484237","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2484028.2484237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1525341925","https://openalex.org/W1557074680","https://openalex.org/W1626945812","https://openalex.org/W1824380880","https://openalex.org/W1828401780","https://openalex.org/W1854980666","https://openalex.org/W2002467088","https://openalex.org/W2019509999","https://openalex.org/W2027823133","https://openalex.org/W2030891701","https://openalex.org/W2053569739","https://openalex.org/W2068502090","https://openalex.org/W2115755647","https://openalex.org/W2155825896","https://openalex.org/W2161775468","https://openalex.org/W2182419646","https://openalex.org/W2916510543"],"related_works":["https://openalex.org/W2063218608","https://openalex.org/W4386105885","https://openalex.org/W2071180033","https://openalex.org/W2184288218","https://openalex.org/W2947282851","https://openalex.org/W2374066281","https://openalex.org/W4387423606","https://openalex.org/W2147874738","https://openalex.org/W2036058638","https://openalex.org/W2513891871"],"abstract_inverted_index":{"The":[0],"importance":[1],"of":[2,16,47,51],"Information":[3],"Retrieval":[4,34],"(IR)":[5],"in":[6],"audio-visual":[7,17],"recordings":[8,59],"has":[9],"been":[10],"increasing":[11],"with":[12],"steeply":[13],"growing":[14],"numbers":[15],"documents":[18,69],"available":[19],"on-line.":[20],"Compared":[21],"to":[22],"traditional":[23],"IR":[24,73],"methods,":[25],"this":[26],"task":[27],"requires":[28],"specific":[29],"techniques,":[30],"such":[31],"as":[32,67],"Passage":[33,56],"which":[35,65],"can":[36,91],"accelerate":[37],"the":[38,43,52,71],"search":[39],"process":[40],"by":[41],"retrieving":[42],"exact":[44],"relevant":[45],"passage":[46],"a":[48],"recording":[49],"instead":[50],"full":[53,58],"document.":[54],"In":[55],"Retrieval,":[57],"are":[60],"divided":[61],"into":[62],"shorter":[63],"segments":[64],"serve":[66],"individual":[68],"for":[70],"further":[72],"setup.":[74],"This":[75],"technique":[76],"also":[77],"allows":[78],"normalizing":[79],"document":[80],"length":[81],"and":[82],"applying":[83],"positional":[84],"information.":[85],"It":[86],"was":[87],"shown":[88],"that":[89],"it":[90],"even":[92],"improve":[93],"retrieval":[94],"results.":[95]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
