{"id":"https://openalex.org/W2084476001","doi":"https://doi.org/10.1109/cbmi.2014.6849845","title":"Augmenting training sets with still images for video concept detection","display_name":"Augmenting training sets with still images for video concept detection","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2084476001","doi":"https://doi.org/10.1109/cbmi.2014.6849845","mag":"2084476001"},"language":"en","primary_location":{"id":"doi:10.1109/cbmi.2014.6849845","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi.2014.6849845","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 12th International Workshop on Content-Based Multimedia Indexing (CBMI)","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/A5015720662","display_name":"Sebastian Gerke","orcid":null},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Sebastian Gerke","raw_affiliation_strings":["Fraunhofer Institute for Telecommunications, Heinrich-Hertz-Institut","Fraunhofer Inst. for Telecommun., Heinrich-Hertz-Inst., Dusseldorf, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Telecommunications, Heinrich-Hertz-Institut","institution_ids":["https://openalex.org/I2800274787"]},{"raw_affiliation_string":"Fraunhofer Inst. for Telecommun., Heinrich-Hertz-Inst., Dusseldorf, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041427293","display_name":"Antje Linnemann","orcid":"https://orcid.org/0009-0002-5644-5845"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Antje Linnemann","raw_affiliation_strings":["Fraunhofer Institute for Telecommunications, Heinrich-Hertz-Institut","Fraunhofer Inst. for Telecommun., Heinrich-Hertz-Inst., Dusseldorf, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Telecommunications, Heinrich-Hertz-Institut","institution_ids":["https://openalex.org/I2800274787"]},{"raw_affiliation_string":"Fraunhofer Inst. for Telecommun., Heinrich-Hertz-Inst., Dusseldorf, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031166879","display_name":"Patrick Ndjiki-Nya","orcid":null},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Patrick Ndjiki-Nya","raw_affiliation_strings":["Fraunhofer Institute for Telecommunications, Heinrich-Hertz-Institut","Fraunhofer Inst. for Telecommun., Heinrich-Hertz-Inst., Dusseldorf, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Telecommunications, Heinrich-Hertz-Institut","institution_ids":["https://openalex.org/I2800274787"]},{"raw_affiliation_string":"Fraunhofer Inst. for Telecommun., Heinrich-Hertz-Inst., Dusseldorf, Germany","institution_ids":["https://openalex.org/I2800274787"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015720662"],"corresponding_institution_ids":["https://openalex.org/I2800274787"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14432484,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2008","issue":null,"first_page":"1","last_page":"4"},"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":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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9990000128746033,"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":0.9987999796867371,"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":0.8782161474227905},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.6801570653915405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5524284243583679},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5332837700843811},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.48708227276802063},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.46365246176719666},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46235641837120056},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.41108500957489014},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3642164468765259},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.357646644115448},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3377152681350708},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3311030864715576}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8782161474227905},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.6801570653915405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5524284243583679},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5332837700843811},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.48708227276802063},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.46365246176719666},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46235641837120056},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.41108500957489014},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3642164468765259},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.357646644115448},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3377152681350708},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3311030864715576},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cbmi.2014.6849845","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi.2014.6849845","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 12th International Workshop on Content-Based Multimedia Indexing (CBMI)","raw_type":"proceedings-article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/387464","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/387464","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1514923623","https://openalex.org/W1978920452","https://openalex.org/W2120354757","https://openalex.org/W2120559187","https://openalex.org/W2127513583","https://openalex.org/W2150990881","https://openalex.org/W2158226832","https://openalex.org/W2160039895","https://openalex.org/W2162762921","https://openalex.org/W2162915993","https://openalex.org/W2169783907","https://openalex.org/W2901058987","https://openalex.org/W3146885639","https://openalex.org/W6677732433","https://openalex.org/W6679148742"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W4388870064","https://openalex.org/W2392921965","https://openalex.org/W2210139803","https://openalex.org/W4235186151","https://openalex.org/W2358755282","https://openalex.org/W2551249631"],"abstract_inverted_index":{"Accessing":[0],"the":[1,23,35,57,82,97],"visual":[2],"information":[3],"of":[4,25,37,56,78],"video":[5,88],"content":[6],"is":[7],"a":[8,42,53,66,76],"challenging":[9],"task.":[10],"Automatic":[11],"annotation":[12],"techniques":[13,79],"have":[14],"made":[15],"significant":[16],"progress,":[17],"however":[18],"they":[19],"still":[20,38,61,85],"suffer":[21],"from":[22,41],"lack":[24],"appropriate":[26],"training":[27,58,98],"data.":[28],"To":[29],"overcome":[30],"this":[31],"problem":[32],"we":[33],"propose":[34],"use":[36],"images":[39,62,86],"taken":[40],"photo":[43],"sharing":[44],"website":[45],"as":[46],"an":[47],"additional":[48],"resource":[49],"for":[50,80],"training.":[51],"However,":[52],"mere":[54],"extension":[55],"set":[59],"with":[60],"does":[63],"not":[64],"yield":[65],"large":[67],"gain":[68],"in":[69],"classification":[70,91],"accuracy.":[71],"We":[72],"show":[73],"that":[74],"using":[75],"combination":[77],"bridging":[81],"differences":[83],"between":[84],"and":[87],"keyframes":[89],"improves":[90],"performance":[92],"compared":[93],"to":[94],"simply":[95],"augmenting":[96],"set.":[99]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
