{"id":"https://openalex.org/W4312513348","doi":"https://doi.org/10.1109/icpr56361.2022.9956148","title":"VidHarm: A Clip Based Dataset for Harmful Content Detection","display_name":"VidHarm: A Clip Based Dataset for Harmful Content Detection","publication_year":2022,"publication_date":"2022-08-21","ids":{"openalex":"https://openalex.org/W4312513348","doi":"https://doi.org/10.1109/icpr56361.2022.9956148"},"language":"en","primary_location":{"id":"doi:10.1109/icpr56361.2022.9956148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr56361.2022.9956148","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","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":"2022 26th International Conference on Pattern Recognition (ICPR)","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/A5056741172","display_name":"Johan Edstedt","orcid":"https://orcid.org/0000-0002-1019-8634"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Johan Edstedt","raw_affiliation_strings":["Link&#x00F6;ping University,Computer Vision Laboratory"],"affiliations":[{"raw_affiliation_string":"Link&#x00F6;ping University,Computer Vision Laboratory","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016075210","display_name":"Amanda Berg","orcid":"https://orcid.org/0000-0002-6591-9400"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Amanda Berg","raw_affiliation_strings":["Link&#x00F6;ping University,Computer Vision Laboratory"],"affiliations":[{"raw_affiliation_string":"Link&#x00F6;ping University,Computer Vision Laboratory","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042087981","display_name":"Michael Felsberg","orcid":"https://orcid.org/0000-0002-6096-3648"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael Felsberg","raw_affiliation_strings":["Link&#x00F6;ping University,Computer Vision Laboratory"],"affiliations":[{"raw_affiliation_string":"Link&#x00F6;ping University,Computer Vision Laboratory","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069687416","display_name":"Johan Karlsson","orcid":"https://orcid.org/0000-0002-7038-5933"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Johan Karlsson","raw_affiliation_strings":["Statens Medier&#x00E5;d,Stockholm"],"affiliations":[{"raw_affiliation_string":"Statens Medier&#x00E5;d,Stockholm","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074769459","display_name":"Francisca Benavente","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Francisca Benavente","raw_affiliation_strings":["Statens Medier&#x00E5;d,Stockholm"],"affiliations":[{"raw_affiliation_string":"Statens Medier&#x00E5;d,Stockholm","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026067814","display_name":"Anette Novak","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anette Novak","raw_affiliation_strings":["Statens Medier&#x00E5;d,Stockholm"],"affiliations":[{"raw_affiliation_string":"Statens Medier&#x00E5;d,Stockholm","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008391614","display_name":"Gustav Grund Pihlgren","orcid":"https://orcid.org/0000-0003-0100-4030"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gustav Grund Pihlgren","raw_affiliation_strings":["Lule&#x00E5; University of Technology,EISLAB Machine Learning"],"affiliations":[{"raw_affiliation_string":"Lule&#x00E5; University of Technology,EISLAB Machine Learning","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5056741172"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0599,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.31356053,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1543","last_page":"1549"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9939000010490417,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9939000010490417,"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":0.9873999953269958,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8848493099212646},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6425366997718811},{"id":"https://openalex.org/keywords/clips","display_name":"CLIPS","score":0.5399423241615295},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4657460153102875},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.45699283480644226},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42840856313705444},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.352233350276947},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32592207193374634},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.24390441179275513}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8848493099212646},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6425366997718811},{"id":"https://openalex.org/C2778739407","wikidata":"https://www.wikidata.org/wiki/Q165372","display_name":"CLIPS","level":2,"score":0.5399423241615295},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4657460153102875},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.45699283480644226},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42840856313705444},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.352233350276947},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32592207193374634},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24390441179275513},{"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:10.1109/icpr56361.2022.9956148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr56361.2022.9956148","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","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":"2022 26th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/10"},{"display_name":"Peace, Justice and strong institutions","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321030","display_name":"VINNOVA","ror":"https://ror.org/01kd5m353"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1587741888","https://openalex.org/W1636050108","https://openalex.org/W2031545815","https://openalex.org/W2044807399","https://openalex.org/W2098573015","https://openalex.org/W2103869314","https://openalex.org/W2106488920","https://openalex.org/W2112334787","https://openalex.org/W2112415484","https://openalex.org/W2163626514","https://openalex.org/W2194775991","https://openalex.org/W2294467837","https://openalex.org/W2397200767","https://openalex.org/W2735824323","https://openalex.org/W2904736174","https://openalex.org/W2936774411","https://openalex.org/W2943059185","https://openalex.org/W2971680695","https://openalex.org/W2982058372","https://openalex.org/W2990503944","https://openalex.org/W3002552512","https://openalex.org/W3017233325","https://openalex.org/W3029035443","https://openalex.org/W3029709715","https://openalex.org/W3035333188","https://openalex.org/W3037745950","https://openalex.org/W3099205630","https://openalex.org/W3113370935","https://openalex.org/W3185921853","https://openalex.org/W4287252712","https://openalex.org/W6697259123","https://openalex.org/W6712623109","https://openalex.org/W6773226109","https://openalex.org/W6776482929","https://openalex.org/W6777928111","https://openalex.org/W6778248012","https://openalex.org/W6779602356","https://openalex.org/W6787254463","https://openalex.org/W6793012311"],"related_works":["https://openalex.org/W2417253731","https://openalex.org/W2350469024","https://openalex.org/W2491583298","https://openalex.org/W2036154621","https://openalex.org/W2327827625","https://openalex.org/W2395860100","https://openalex.org/W2057384895","https://openalex.org/W2045408812","https://openalex.org/W2354233396","https://openalex.org/W2888033806"],"abstract_inverted_index":{"Automatically":[0],"identifying":[1],"harmful":[2],"content":[3],"in":[4],"video":[5,36,98],"is":[6,18,44,51,85,116],"an":[7,31,73],"important":[8],"task":[9],"with":[10],"a":[11,19],"wide":[12],"range":[13],"of":[14,21,34,48,76,107],"applications.":[15],"However,":[16],"there":[17],"lack":[20],"professionally":[22],"labeled":[23],"open":[24,32],"datasets":[25],"available.":[26],"In":[27],"this":[28],"work":[29],"VidHarm,":[30],"dataset":[33,50,71],"3589":[35],"clips":[37],"from":[38],"film":[39],"trailers":[40],"annotated":[41],"by":[42,88],"professionals,":[43],"presented.":[45],"An":[46],"analysis":[47],"the":[49,57,70,90,108,125],"performed,":[52],"revealing":[53],"among":[54],"other":[55],"things":[56],"relation":[58],"between":[59],"clip":[60],"and":[61,72,92,101,119],"trailer":[62],"level":[63],"annotations.":[64],"Audiovisual":[65],"models":[66,110],"are":[67,111,122],"trained":[68,109],"on":[69,96],"in-depth":[74],"study":[75],"modeling":[77],"choices":[78],"conducted.":[79],"The":[80],"results":[81],"show":[82],"that":[83],"performance":[84],"greatly":[86],"improved":[87],"combining":[89],"visual":[91],"audio":[93],"modality,":[94],"pre-training":[95],"large-scale":[97],"recognition":[99],"datasets,":[100],"class":[102],"balanced":[103],"sampling.":[104],"Lastly,":[105],"biases":[106],"investigated":[112],"using":[113],"discrimination":[114],"probing.VidHarm":[115],"openly":[117],"available,":[118],"further":[120],"details":[121],"available":[123],"at":[124],"webpage":[126],"https://vidharm.github.io/":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
