{"id":"https://openalex.org/W2332270651","doi":"https://doi.org/10.1109/ictc.2014.6983233","title":"Classifying objectionable images based on MPEG-7 visual descriptors and saliency detection","display_name":"Classifying objectionable images based on MPEG-7 visual descriptors and saliency detection","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2332270651","doi":"https://doi.org/10.1109/ictc.2014.6983233","mag":"2332270651"},"language":"en","primary_location":{"id":"doi:10.1109/ictc.2014.6983233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc.2014.6983233","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Information and Communication Technology Convergence (ICTC)","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/A5005862193","display_name":"Chi Yoon Jeong","orcid":"https://orcid.org/0000-0001-7089-2516"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Chi Yoon Jeong","raw_affiliation_strings":["Human Identification Research Section, Electronics and Telecommunications Research Institute, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Human Identification Research Section, Electronics and Telecommunications Research Institute, Daejeon, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111714186","display_name":"Seungwan Han","orcid":null},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungwan Han","raw_affiliation_strings":["Human Identification Research Section, Electronics and Telecommunications Research Institute, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Human Identification Research Section, Electronics and Telecommunications Research Institute, Daejeon, Korea","institution_ids":["https://openalex.org/I142401562"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005862193"],"corresponding_institution_ids":["https://openalex.org/I142401562"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.23626912,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"628","last_page":"629"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9991000294685364,"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":0.9986000061035156,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8198260068893433},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.725541889667511},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6937544345855713},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.685397744178772},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6393181085586548},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6180605292320251},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6070643663406372},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5690993070602417},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.4871789813041687},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4742364287376404},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.46040332317352295},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.45846402645111084},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4163435101509094},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.41158565878868103},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2428368628025055},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17416226863861084}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8198260068893433},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.725541889667511},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6937544345855713},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.685397744178772},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6393181085586548},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6180605292320251},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6070643663406372},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5690993070602417},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.4871789813041687},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4742364287376404},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.46040332317352295},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.45846402645111084},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4163435101509094},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.41158565878868103},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2428368628025055},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17416226863861084},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc.2014.6983233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc.2014.6983233","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W188229266","https://openalex.org/W1922617770","https://openalex.org/W2065985528","https://openalex.org/W2068194118","https://openalex.org/W2088723755","https://openalex.org/W2130287785","https://openalex.org/W2135176316","https://openalex.org/W6640135684","https://openalex.org/W6679195402","https://openalex.org/W6680294726"],"related_works":["https://openalex.org/W2130409173","https://openalex.org/W2746816529","https://openalex.org/W2024252608","https://openalex.org/W2534459178","https://openalex.org/W3201443322","https://openalex.org/W2031096531","https://openalex.org/W2342735177","https://openalex.org/W2099431833","https://openalex.org/W2328992539","https://openalex.org/W2798760230"],"abstract_inverted_index":{"Much":[0],"research":[1],"has":[2],"been":[3],"done":[4],"to":[5],"block":[6],"objectionable":[7,48,81,95],"images":[8,49],"by":[9],"analyzing":[10],"the":[11,23,27,30,34,59,62,72,78,88,92],"visual":[12,63],"contents.":[13],"The":[14,83],"region-of-interest":[15],"based":[16,50],"approach":[17,28],"are":[18],"more":[19],"accurate":[20],"in":[21,33],"describing":[22],"image":[24,32,38,68,96],"content":[25],"than":[26],"using":[29,58],"whole":[31,67],"field":[35],"of":[36,80,94],"content-based":[37],"retrieval.":[39],"Therefore,":[40],"this":[41],"paper":[42],"proposes":[43],"a":[44],"method":[45,74,90],"for":[46],"classifying":[47],"on":[51],"global":[52],"features":[53,60],"and":[54,69],"salient":[55,70],"region.":[56],"By":[57],"concatenated":[61],"descriptors":[64],"extracted":[65],"from":[66],"region,":[71],"proposed":[73,89],"can":[75],"accurately":[76],"describe":[77],"characteristic":[79],"image.":[82],"experimental":[84],"results":[85],"show":[86],"that":[87],"increases":[91],"performance":[93],"classification.":[97]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
