{"id":"https://openalex.org/W2516160083","doi":"https://doi.org/10.1109/icip.2016.7532982","title":"Semantic highlight retrieval","display_name":"Semantic highlight retrieval","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2516160083","doi":"https://doi.org/10.1109/icip.2016.7532982","mag":"2516160083"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532982","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532982","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5017651065","display_name":"Kuo-Hao Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Kuo-Hao Zeng","raw_affiliation_strings":["Departmant of Electrical Engineering, National Tsing Hua University"],"affiliations":[{"raw_affiliation_string":"Departmant of Electrical Engineering, National Tsing Hua University","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101361764","display_name":"Yen-Chen Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yen-Chen Lin","raw_affiliation_strings":["Departmant of Electrical Engineering, National Tsing Hua University"],"affiliations":[{"raw_affiliation_string":"Departmant of Electrical Engineering, National Tsing Hua University","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101576595","display_name":"Ali Farhadi","orcid":"https://orcid.org/0000-0001-7249-2380"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ali Farhadi","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Washington"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Washington","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102008600","display_name":"Min Sun","orcid":"https://orcid.org/0000-0001-9598-8178"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Min Sun","raw_affiliation_strings":["Departmant of Electrical Engineering, National Tsing Hua University"],"affiliations":[{"raw_affiliation_string":"Departmant of Electrical Engineering, National Tsing Hua University","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017651065"],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":null,"apc_paid":null,"fwci":0.835,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.80584691,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"9","issue":null,"first_page":"3359","last_page":"3363"},"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/T10812","display_name":"Human Pose and Action Recognition","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"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9936000108718872,"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":0.7915777564048767},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6322240829467773},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.39596736431121826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33217334747314453}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7915777564048767},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6322240829467773},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39596736431121826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33217334747314453}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7532982","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532982","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W261873710","https://openalex.org/W329267344","https://openalex.org/W1904325426","https://openalex.org/W1924343884","https://openalex.org/W1989684337","https://openalex.org/W1998605630","https://openalex.org/W2032342062","https://openalex.org/W2035607533","https://openalex.org/W2055753778","https://openalex.org/W2063153269","https://openalex.org/W2068272887","https://openalex.org/W2105101328","https://openalex.org/W2115857089","https://openalex.org/W2118585731","https://openalex.org/W2126579184","https://openalex.org/W2139009685","https://openalex.org/W2139594308","https://openalex.org/W2143017621","https://openalex.org/W2163331914","https://openalex.org/W2194345886","https://openalex.org/W2201277129","https://openalex.org/W2467794422","https://openalex.org/W2529272619","https://openalex.org/W2953320089","https://openalex.org/W6611303669","https://openalex.org/W6640109428","https://openalex.org/W6677302653","https://openalex.org/W6677656871","https://openalex.org/W6681240974","https://openalex.org/W6688026768","https://openalex.org/W6719919925","https://openalex.org/W6764970959"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Finding":[0],"highlights":[1],"relevant":[2],"to":[3,15,62,67,80,88],"a":[4,29,35,47,57,76,89,101,107,122,144],"text":[5],"query":[6],"in":[7,100],"unedited":[8],"videos":[9],"has":[10],"become":[11],"increasingly":[12],"important":[13],"due":[14],"their":[16],"unprecedented":[17],"growth.":[18],"We":[19,105],"refer":[20],"this":[21],"task":[22],"as":[23,68],"semantic":[24,54],"highlight":[25,78,130,147,163],"retrieval":[26],"and":[27,53,149],"propose":[28],"query-dependent":[30,65],"video":[31,109,162],"representation":[32,49],"for":[33],"retrieving":[34],"variety":[36,90],"of":[37,42,84,91],"highlights.":[38],"Our":[39],"method":[40,154],"consist":[41],"two":[43],"parts:":[44],"(1)":[45],"\u201cviralets\u201d,":[46],"mid-level":[48],"bridging":[50],"between":[51],"visual":[52],"spaces;":[55],"(2)":[56],"novel":[58],"Semantically-Modulation":[59],"(SM)":[60],"procedure":[61],"make":[63],"viralets":[64],"(referred":[66],"SM":[69,72],"viralets).":[70],"Given":[71],"viralets,":[73],"we":[74],"train":[75],"single":[77],"ranker":[79,131,148],"predict":[81],"the":[82,161],"highlightness":[83],"clips":[85],"with":[86,124],"respect":[87],"queries,":[92],"whereas":[93],"existing":[94],"approaches":[95],"can":[96],"be":[97],"applied":[98],"only":[99],"few":[102],"predefined":[103],"domains.":[104],"collect":[106],"viral":[108],"dataset":[110],"<sup":[111],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[112],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[113],"including":[114],"users'":[115],"comments,":[116],"highlights,":[117],"and/or":[118],"original":[119],"videos.":[120],"Among":[121],"database":[123],"1189":[125],"(13%":[126],"highlights)":[127],"clips,":[128],"our":[129,153],"achieves":[132],"41.2%":[133],"recall":[134],"at":[135],"top-10":[136],"retrieved":[137],"clips.":[138],"It":[139],"is":[140],"significantly":[141],"higher":[142],"than":[143],"state-of-the-art":[145],"domain-specific":[146],"its":[150],"extension.":[151],"Similarly,":[152],"also":[155],"outperforms":[156],"all":[157],"baseline":[158],"methods":[159],"on":[160],"dataset.":[164]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}