{"id":"https://openalex.org/W2896022095","doi":"https://doi.org/10.1109/bigmm.2018.8499467","title":"Analyzing Periodicity and Saliency for Pornographic Video Detection","display_name":"Analyzing Periodicity and Saliency for Pornographic Video Detection","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2896022095","doi":"https://doi.org/10.1109/bigmm.2018.8499467","mag":"2896022095"},"language":"en","primary_location":{"id":"doi:10.1109/bigmm.2018.8499467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigmm.2018.8499467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5114804118","display_name":"Yizhi Liu","orcid":"https://orcid.org/0000-0002-5052-2582"},"institutions":[{"id":"https://openalex.org/I121296143","display_name":"Hunan University of Science and Technology","ror":"https://ror.org/02m9vrb24","country_code":"CN","type":"education","lineage":["https://openalex.org/I121296143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yizhi Liu","raw_affiliation_strings":["School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, China","institution_ids":["https://openalex.org/I121296143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011277917","display_name":"Liangran Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I121296143","display_name":"Hunan University of Science and Technology","ror":"https://ror.org/02m9vrb24","country_code":"CN","type":"education","lineage":["https://openalex.org/I121296143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangran Wu","raw_affiliation_strings":["School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, China","institution_ids":["https://openalex.org/I121296143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046735380","display_name":"Junlin Ouyang","orcid":"https://orcid.org/0000-0001-7155-2732"},"institutions":[{"id":"https://openalex.org/I121296143","display_name":"Hunan University of Science and Technology","ror":"https://ror.org/02m9vrb24","country_code":"CN","type":"education","lineage":["https://openalex.org/I121296143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junlin Ouyang","raw_affiliation_strings":["School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, China","institution_ids":["https://openalex.org/I121296143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053378837","display_name":"Miao Liao","orcid":"https://orcid.org/0000-0003-3378-3817"},"institutions":[{"id":"https://openalex.org/I121296143","display_name":"Hunan University of Science and Technology","ror":"https://ror.org/02m9vrb24","country_code":"CN","type":"education","lineage":["https://openalex.org/I121296143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miao Liao","raw_affiliation_strings":["School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, China","institution_ids":["https://openalex.org/I121296143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I121296143"],"apc_list":null,"apc_paid":null,"fwci":0.0761,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37806995,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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"}},"topics":[{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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":0.9988999962806702,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9962999820709229,"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":0.8013228178024292},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.7261935472488403},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6777361035346985},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.6656070947647095},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6113851070404053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5911750197410583},{"id":"https://openalex.org/keywords/pornography","display_name":"Pornography","score":0.5718268156051636},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5531384944915771},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.529076874256134},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5154012441635132},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4527069926261902},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3738628923892975},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33163726329803467},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07366037368774414}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8013228178024292},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.7261935472488403},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6777361035346985},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.6656070947647095},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6113851070404053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5911750197410583},{"id":"https://openalex.org/C2781301322","wikidata":"https://www.wikidata.org/wiki/Q291","display_name":"Pornography","level":2,"score":0.5718268156051636},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5531384944915771},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.529076874256134},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5154012441635132},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4527069926261902},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3738628923892975},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33163726329803467},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07366037368774414},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigmm.2018.8499467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigmm.2018.8499467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W187037124","https://openalex.org/W1587328194","https://openalex.org/W1677409904","https://openalex.org/W1972499388","https://openalex.org/W1976080191","https://openalex.org/W1978830161","https://openalex.org/W2004025832","https://openalex.org/W2034774540","https://openalex.org/W2038913936","https://openalex.org/W2046670074","https://openalex.org/W2055136526","https://openalex.org/W2078132377","https://openalex.org/W2078578208","https://openalex.org/W2086791339","https://openalex.org/W2094671802","https://openalex.org/W2111220184","https://openalex.org/W2118938558","https://openalex.org/W2128637751","https://openalex.org/W2131821244","https://openalex.org/W2153493250","https://openalex.org/W2157476024","https://openalex.org/W2157554677","https://openalex.org/W2162216530","https://openalex.org/W2164084182","https://openalex.org/W2360445881","https://openalex.org/W2365113898","https://openalex.org/W2535823344","https://openalex.org/W2760998155","https://openalex.org/W2762383441","https://openalex.org/W3097096317","https://openalex.org/W6607624625","https://openalex.org/W6635131150","https://openalex.org/W6637400245","https://openalex.org/W6658959496","https://openalex.org/W6660224854","https://openalex.org/W6677805096","https://openalex.org/W6679707847","https://openalex.org/W6683428009","https://openalex.org/W6744506005","https://openalex.org/W6745529123"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W4388064163","https://openalex.org/W4388121746","https://openalex.org/W2039991030","https://openalex.org/W1999296022","https://openalex.org/W4254577890","https://openalex.org/W2049574408","https://openalex.org/W627697492"],"abstract_inverted_index":{"Content-based":[0],"pornographic":[1,41],"video":[2,42],"detection":[3],"plays":[4],"an":[5,33],"important":[6],"role":[7],"in":[8,54],"preventing":[9],"pornography.":[10],"However,":[11],"existing":[12],"methods":[13],"usually":[14],"rely":[15],"on":[16,22],"single":[17],"modality":[18],"and":[19,38,48,56],"seldom":[20],"focus":[21],"multi-modality":[23],"semantics":[24,62],"representation.":[25],"Addressing":[26],"at":[27],"this":[28],"problem,":[29],"we":[30],"put":[31],"forward":[32],"approach":[34,77,88],"of":[35,75],"analyzing":[36],"saliency":[37],"periodicity":[39,68],"for":[40],"detection.":[43],"At":[44],"first,":[45],"salient":[46],"regions":[47],"periodic":[49],"patterns":[50],"are":[51],"respectively":[52],"analyzed":[53],"visual-frames":[55],"audio-frames.":[57],"Next,":[58],"the":[59,73],"multi-modal":[60],"co-occurrence":[61],"is":[63,78],"described":[64],"by":[65,81],"combining":[66],"audio":[67],"with":[69],"visual":[70],"saliency.":[71],"Moreover,":[72],"performance":[74],"our":[76,87],"evaluated":[79],"step":[80],"step.":[82],"Experimental":[83],"results":[84],"show":[85],"that":[86],"obviously":[89],"outperforms":[90],"some":[91],"state-of-the-art":[92],"methods.":[93]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}