{"id":"https://openalex.org/W2293755416","doi":"https://doi.org/10.1109/icip.2015.7351536","title":"Creating descriptive visual words for tag ranking of compressed social image","display_name":"Creating descriptive visual words for tag ranking of compressed social image","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2293755416","doi":"https://doi.org/10.1109/icip.2015.7351536","mag":"2293755416"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7351536","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351536","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 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/A5100352180","display_name":"Xin Liu","orcid":"https://orcid.org/0000-0002-0011-6260"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Liu","raw_affiliation_strings":["Signal and Information Processing Laboratory, Beijing University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal and Information Processing Laboratory, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032383728","display_name":"Jing Zhang","orcid":"https://orcid.org/0000-0003-1290-0738"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Zhang","raw_affiliation_strings":["Signal and Information Processing Laboratory, Beijing University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal and Information Processing Laboratory, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108610674","display_name":"Li Zhuo","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Zhuo","raw_affiliation_strings":["Signal and Information Processing Laboratory, Beijing University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal and Information Processing Laboratory, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115604899","display_name":"Ying Yang","orcid":"https://orcid.org/0000-0002-9571-553X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Yang","raw_affiliation_strings":["Signal and Information Processing Laboratory, Beijing University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal and Information Processing Laboratory, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5616,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.76486513,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3901","last_page":"3905"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9983999729156494,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7207162380218506},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6813169121742249},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6520721912384033},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6066898107528687},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5610941052436829},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.5180771350860596},{"id":"https://openalex.org/keywords/descriptive-statistics","display_name":"Descriptive statistics","score":0.4949933886528015},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4672197103500366},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41465601325035095},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4003724455833435},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38033047318458557},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36488497257232666},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.3346399962902069},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1802852749824524},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12277582287788391}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7207162380218506},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6813169121742249},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6520721912384033},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6066898107528687},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5610941052436829},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.5180771350860596},{"id":"https://openalex.org/C39896193","wikidata":"https://www.wikidata.org/wiki/Q380344","display_name":"Descriptive statistics","level":2,"score":0.4949933886528015},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4672197103500366},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41465601325035095},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4003724455833435},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38033047318458557},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36488497257232666},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.3346399962902069},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1802852749824524},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12277582287788391},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2015.7351536","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351536","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1484556396","https://openalex.org/W1981362793","https://openalex.org/W2007972815","https://openalex.org/W2014854862","https://openalex.org/W2029200229","https://openalex.org/W2079038130","https://openalex.org/W2092064517","https://openalex.org/W2096730180","https://openalex.org/W2104929264","https://openalex.org/W2128017662","https://openalex.org/W2135543078","https://openalex.org/W2160931825","https://openalex.org/W2164996087","https://openalex.org/W2168951883","https://openalex.org/W2913081710"],"related_works":["https://openalex.org/W3160516639","https://openalex.org/W2063218608","https://openalex.org/W4386105885","https://openalex.org/W2071180033","https://openalex.org/W2184288218","https://openalex.org/W2947282851","https://openalex.org/W2374066281","https://openalex.org/W4387423606","https://openalex.org/W2147874738","https://openalex.org/W2036058638"],"abstract_inverted_index":{"Visual":[0],"words":[1,23,45,69,87,104,117,123,133,149],"description":[2],"method":[3,161,169],"has":[4,48,162],"been":[5],"widely":[6],"applied":[7,135],"in":[8,88],"the":[9,66,101,109,114,125,130,138,146,152,172],"fields":[10],"of":[11,57,96,140,154],"social":[12,58,63,98,141,177],"image's":[13],"tag":[14,16,55,94,139,155],"ranking,":[15,156],"recommendation":[17],"and":[18,37],"annotation.":[19],"At":[20],"present,":[21],"visual":[22,44,68,86,103,116,122,132,148],"are":[24,70,105,118,134],"usually":[25],"obtained":[26],"by":[27,107,124],"unsupervised":[28],"clustering":[29],"methods":[30],"which":[31,157],"lead":[32],"to":[33,42,136],"generate":[34],"many":[35],"unnecessary":[36],"non-descriptive":[38],"words.":[39],"Therefore,":[40],"how":[41],"make":[43],"be":[46],"descriptive":[47,85,115,131,147,164],"become":[49],"a":[50,75],"very":[51],"meaningful":[52],"task":[53],"for":[54,61,93,175],"ranking":[56,95,127],"image.":[59,99,142],"However,":[60],"compressed":[62,76,89,97,176],"image":[64,77,178],"on":[65],"network,":[67],"created":[71,106],"after":[72],"fully":[73],"decompressing":[74],"into":[78],"pixel":[79],"domain.":[80],"In":[81],"this":[82],"paper,":[83],"creating":[84],"domain":[90],"is":[91],"proposed":[92],"Firstly,":[100],"traditional":[102,121],"using":[108],"partly":[110],"decoded":[111],"data;":[112],"then":[113],"selected":[119],"from":[120],"VisualWordRank":[126],"algorithm;":[128],"finally":[129],"rank":[137],"Experimental":[143],"results":[144],"show":[145],"can":[150],"improve":[151],"accuracy":[153],"further":[158],"prove":[159],"our":[160,168],"more":[163],"ability.":[165],"Besides":[166],"that,":[167],"also":[170],"reduces":[171],"processing":[173],"time":[174],"greatly.":[179]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}