{"id":"https://openalex.org/W2811014024","doi":"https://doi.org/10.1109/mipr.2018.00029","title":"A New TV World for Kids - When ZUI Meets Deep Learning","display_name":"A New TV World for Kids - When ZUI Meets Deep Learning","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2811014024","doi":"https://doi.org/10.1109/mipr.2018.00029","mag":"2811014024"},"language":"en","primary_location":{"id":"doi:10.1109/mipr.2018.00029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mipr.2018.00029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)","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/A5071499106","display_name":"Haohong Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Haohong Wang","raw_affiliation_strings":["TCL Research America"],"affiliations":[{"raw_affiliation_string":"TCL Research America","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014461505","display_name":"Yaoyuan Fu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yaoyuan Fu","raw_affiliation_strings":["TCL Research America"],"affiliations":[{"raw_affiliation_string":"TCL Research America","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100319872","display_name":"Yang Li","orcid":"https://orcid.org/0000-0003-1837-541X"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["University of Missouri"],"affiliations":[{"raw_affiliation_string":"University of Missouri","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082349270","display_name":"Guanghan Ning","orcid":"https://orcid.org/0000-0002-4356-7862"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guanghan Ning","raw_affiliation_strings":["University of Missouri"],"affiliations":[{"raw_affiliation_string":"University of Missouri","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110252153","display_name":"Zhihai He","orcid":null},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhihai He","raw_affiliation_strings":["University of Missouri"],"affiliations":[{"raw_affiliation_string":"University of Missouri","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023578096","display_name":"Mengwen Liu","orcid":"https://orcid.org/0000-0001-8006-5995"},"institutions":[{"id":"https://openalex.org/I4210089985","display_name":"Amazon (Germany)","ror":"https://ror.org/00b9ktm87","country_code":"DE","type":"company","lineage":["https://openalex.org/I1311688040","https://openalex.org/I4210089985"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mengwen Liu","raw_affiliation_strings":["Amazon.com, Inc"],"affiliations":[{"raw_affiliation_string":"Amazon.com, Inc","institution_ids":["https://openalex.org/I4210089985"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5071499106"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06193042,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"124","last_page":"129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9976999759674072,"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":0.9976999759674072,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9975000023841858,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9972000122070312,"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":0.8224647045135498},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5739368200302124},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.5245404839515686},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5111172795295715},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4806186556816101},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.48005211353302},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.47817403078079224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43502163887023926},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43174517154693604},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3321838974952698},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08460038900375366}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8224647045135498},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5739368200302124},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.5245404839515686},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5111172795295715},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4806186556816101},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.48005211353302},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.47817403078079224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43502163887023926},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43174517154693604},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3321838974952698},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08460038900375366},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mipr.2018.00029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mipr.2018.00029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1963783804","https://openalex.org/W1995923922","https://openalex.org/W2013668524","https://openalex.org/W2179503016","https://openalex.org/W2262732776","https://openalex.org/W2270127590","https://openalex.org/W2962778460","https://openalex.org/W2963037989","https://openalex.org/W3106250896","https://openalex.org/W4297673529","https://openalex.org/W6685719144","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4230611425","https://openalex.org/W2731899572","https://openalex.org/W2062195135","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W4383066092","https://openalex.org/W1649706580","https://openalex.org/W3195608031"],"abstract_inverted_index":{"In":[0],"this":[1,67,93],"work,":[2],"we":[3],"propose":[4],"a":[5,36],"novel":[6],"application":[7],"of":[8,19,22,27,52,64,103],"Zoomable":[9],"User":[10],"Interface":[11],"(ZUI)":[12],"for":[13],"TV":[14,77],"world.":[15],"With":[16],"the":[17,42,57,62,69,85],"utilization":[18],"latest":[20],"advances":[21],"deep":[23],"learning,":[24],"visual":[25,38,104],"tags":[26,54],"video":[28],"titles":[29],"can":[30],"be":[31],"semi-automatically":[32],"extracted.":[33],"By":[34],"creating":[35],"cascaded":[37],"tag":[39],"tree":[40],"structure,":[41],"ZUI":[43,75],"representation":[44],"problem":[45,51],"is":[46,68,95],"converted":[47],"into":[48],"an":[49,80],"optimization":[50],"choosing":[53],"to":[55,83,100],"achieve":[56,84],"least":[58],"user":[59,87,108],"interactions.":[60],"To":[61],"best":[63,86],"our":[65],"knowledge,":[66],"world's":[70],"first":[71],"effort":[72],"in":[73],"adopting":[74],"on":[76],"display":[78],"with":[79],"optimized":[81],"solution":[82],"experiences.":[88],"Experimental":[89],"results":[90],"indicate":[91],"that":[92],"invention":[94],"favored":[96],"by":[97],"kids,":[98],"due":[99],"its":[101],"nature":[102],"richness,":[105],"intuitive,":[106],"and":[107],"friendly.":[109]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}