{"id":"https://openalex.org/W2982625128","doi":"https://doi.org/10.1109/lifetech.2019.8884033","title":"Video Classification Based on User Preferences with soft-bag Multiple Instance Learning","display_name":"Video Classification Based on User Preferences with soft-bag Multiple Instance Learning","publication_year":2019,"publication_date":"2019-03-01","ids":{"openalex":"https://openalex.org/W2982625128","doi":"https://doi.org/10.1109/lifetech.2019.8884033","mag":"2982625128"},"language":"en","primary_location":{"id":"doi:10.1109/lifetech.2019.8884033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lifetech.2019.8884033","pdf_url":null,"source":{"id":"https://openalex.org/S4306498475","display_name":"2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech)","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/A5071252887","display_name":"Akira Toyoda","orcid":"https://orcid.org/0000-0003-3396-2620"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Akira Toyoda","raw_affiliation_strings":["Hokkaido University, Sapporo, Japan"],"affiliations":[{"raw_affiliation_string":"Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009032240","display_name":"Takahiro Ogawa","orcid":"https://orcid.org/0000-0001-5332-8112"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahiro Ogawa","raw_affiliation_strings":["Hokkaido University, Sapporo, Japan"],"affiliations":[{"raw_affiliation_string":"Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"last","author":{"id":null,"display_name":"Miki Haseyama","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Miki Haseyama","raw_affiliation_strings":["Hokkaido University, Sapporo, Japan"],"affiliations":[{"raw_affiliation_string":"Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071252887"],"corresponding_institution_ids":["https://openalex.org/I205349734"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13937282,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"198","last_page":"199"},"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":0.9991000294685364,"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":0.9991000294685364,"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":0.9988999962806702,"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":0.9973999857902527,"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/computer-science","display_name":"Computer science","score":0.801376461982727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6135346293449402},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.48005661368370056},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46478721499443054},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3927493691444397},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32532188296318054}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.801376461982727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6135346293449402},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.48005661368370056},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46478721499443054},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3927493691444397},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32532188296318054},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lifetech.2019.8884033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lifetech.2019.8884033","pdf_url":null,"source":{"id":"https://openalex.org/S4306498475","display_name":"2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech)","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":7,"referenced_works":["https://openalex.org/W1916290045","https://openalex.org/W1990254753","https://openalex.org/W2119821739","https://openalex.org/W2194775991","https://openalex.org/W2765354420","https://openalex.org/W2780948602","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W2058170566","https://openalex.org/W4306674287","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,23,69,105,133],"method":[4,19,52,91],"to":[5,95,130],"classify":[6,96],"videos":[7,21,39,54,97,103,125],"based":[8,74,126],"on":[9,75,127],"user":[10,24,46,106,112,128],"preferences":[11,129],"with":[12,33],"soft-bag":[13,79],"multiple":[14],"instance":[15],"learning":[16],"(MIL).":[17],"Our":[18,51,119],"classifies":[20],"that":[22,101,104],"has":[25],"watched":[26],"into":[27,58],"two":[28],"classes":[29],"(preferred":[30],"and":[31,40,55,61,116],"not-preferred)":[32],"two-modal":[34],"features":[35,63,84],"extracted":[36],"from":[37,67,86],"the":[38,45,49,76,83,87,99,111],"brain":[41,56],"signals":[42,57],"measured":[43],"while":[44],"is":[47],"watching":[48],"videos.":[50],"splits":[53],"fixed-length":[59],"segments":[60,72],"computes":[62],"used":[64],"for":[65],"classification":[66],"only":[68],"fixed-number":[70],"of":[71,78],"selected":[73,88],"idea":[77],"MIL.":[80],"By":[81],"using":[82],"computed":[85],"segments,":[89],"our":[90],"makes":[92],"it":[93],"possible":[94],"in":[98],"case":[100,134],"some":[102,109],"prefers":[107],"contain":[108],"scenes":[110],"does":[113],"not":[114],"prefer,":[115],"vice":[117],"versa.":[118],"main":[120],"contribution":[121],"allows":[122],"methods":[123],"classifying":[124],"treat":[131],"such":[132],"unlike":[135],"conventional":[136],"methods.":[137]},"counts_by_year":[],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2025-10-10T00:00:00"}
