{"id":"https://openalex.org/W2509949649","doi":"https://doi.org/10.1109/icme.2016.7552884","title":"Cross-modal hashing through ranking subspace learning","display_name":"Cross-modal hashing through ranking subspace learning","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2509949649","doi":"https://doi.org/10.1109/icme.2016.7552884","mag":"2509949649"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2016.7552884","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2016.7552884","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 Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://stars.library.ucf.edu/scopus2015/4003","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100399972","display_name":"Kai Li","orcid":"https://orcid.org/0000-0003-1560-0853"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kai Li","raw_affiliation_strings":["Department of Computer Science, University of Central Florida, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Central Florida, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100766907","display_name":"Guo-Jun Qi","orcid":"https://orcid.org/0000-0003-3508-1851"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guojun Qi","raw_affiliation_strings":["Department of Computer Science, University of Central Florida, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Central Florida, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100382930","display_name":"Jun Ye","orcid":"https://orcid.org/0000-0003-2841-6529"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Ye","raw_affiliation_strings":["Department of Computer Science, University of Central Florida, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Central Florida, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110083332","display_name":"Kien A. Hua","orcid":null},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kien A. Hua","raw_affiliation_strings":["Department of Computer Science, University of Central Florida, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Central Florida, USA","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100399972"],"corresponding_institution_ids":["https://openalex.org/I106165777"],"apc_list":null,"apc_paid":null,"fwci":0.6758,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.77360015,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"6"},"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":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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"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":0.9980999827384949,"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/hamming-space","display_name":"Hamming space","score":0.8815450072288513},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6928724050521851},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.6876957416534424},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.669736385345459},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6146284937858582},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.5499557256698608},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5216596126556396},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.498659610748291},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4754752218723297},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.45966729521751404},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.4536069333553314},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.44842320680618286},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.446034699678421},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.44170665740966797},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.4220900535583496},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41571515798568726},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39183494448661804},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3676092028617859},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.3036428689956665},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.300020694732666},{"id":"https://openalex.org/keywords/hamming-code","display_name":"Hamming code","score":0.2997708022594452},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1422170102596283}],"concepts":[{"id":"https://openalex.org/C2779494224","wikidata":"https://www.wikidata.org/wiki/Q5645799","display_name":"Hamming space","level":5,"score":0.8815450072288513},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6928724050521851},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.6876957416534424},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.669736385345459},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6146284937858582},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.5499557256698608},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5216596126556396},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.498659610748291},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4754752218723297},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.45966729521751404},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.4536069333553314},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.44842320680618286},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.446034699678421},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.44170665740966797},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.4220900535583496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41571515798568726},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39183494448661804},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3676092028617859},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.3036428689956665},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.300020694732666},{"id":"https://openalex.org/C73150493","wikidata":"https://www.wikidata.org/wiki/Q853922","display_name":"Hamming code","level":4,"score":0.2997708022594452},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1422170102596283},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icme.2016.7552884","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2016.7552884","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 Multimedia and Expo (ICME)","raw_type":"proceedings-article"},{"id":"pmh:oai:stars.library.ucf.edu:scopus2015-5002","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2015/4003","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Export 2015-2019","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:stars.library.ucf.edu:scopus2015-5002","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2015/4003","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Export 2015-2019","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W199018803","https://openalex.org/W1922199343","https://openalex.org/W1970055505","https://openalex.org/W1976258951","https://openalex.org/W2015175493","https://openalex.org/W2049993534","https://openalex.org/W2057228822","https://openalex.org/W2064797228","https://openalex.org/W2081193615","https://openalex.org/W2086958058","https://openalex.org/W2087193308","https://openalex.org/W2106890447","https://openalex.org/W2110990863","https://openalex.org/W2147704751","https://openalex.org/W2159373756","https://openalex.org/W2171626009","https://openalex.org/W2203543769","https://openalex.org/W2255038316","https://openalex.org/W2267050401","https://openalex.org/W6608183366","https://openalex.org/W6672371797","https://openalex.org/W6675918080","https://openalex.org/W6685282478","https://openalex.org/W6688143368","https://openalex.org/W6692019673","https://openalex.org/W6693399182"],"related_works":["https://openalex.org/W2100189723","https://openalex.org/W1998749283","https://openalex.org/W1554555624","https://openalex.org/W2184777945","https://openalex.org/W2921167217","https://openalex.org/W1997107867","https://openalex.org/W2981938443","https://openalex.org/W2000284985","https://openalex.org/W4212830455","https://openalex.org/W2029205712"],"abstract_inverted_index":{"Hashing":[0],"has":[1],"been":[2],"widely":[3],"used":[4],"for":[5,97],"approximate":[6],"nearest":[7],"neighbor":[8],"search":[9],"of":[10,56,59,74,93,120],"high-dimensional":[11,26],"multimedia":[12],"data.":[13],"In":[14],"this":[15],"paper,":[16],"we":[17,89],"propose":[18],"a":[19,30],"novel":[20],"hash":[21,51,64],"learning":[22,65],"framework":[23],"that":[24,49,101],"maps":[25],"multimodal":[27],"data":[28],"into":[29],"common":[31],"Hamming":[32,42],"space":[33],"where":[34],"the":[35,54,62,102,110,121],"cross-modal":[36,46,111],"similarity":[37],"can":[38],"be":[39,81],"measured":[40],"using":[41],"distance.":[43],"Unlike":[44],"existing":[45],"hashing":[47],"methods":[48,123],"learn":[50,90],"functions":[52],"in":[53,105],"form":[55],"numeric":[57],"quantization":[58],"linear":[60],"projections,":[61],"proposed":[63,122],"algorithm":[66],"encodes":[67],"features'":[68],"ranking":[69,103],"properties":[70],"and":[71,85],"takes":[72],"advantage":[73],"rank":[75],"correlations":[76],"which":[77],"are":[78],"known":[79],"to":[80,125],"scale-invariant,":[82],"numerically":[83],"stable":[84],"highly":[86],"nonlinear.":[87],"Specifically,":[88],"two":[91],"groups":[92],"subspaces":[94,107],"jointly,":[95],"one":[96],"each":[98],"modality,":[99],"so":[100],"orders":[104],"those":[106],"maximally":[108],"preserve":[109],"similarity.":[112],"Extensive":[113],"experiments":[114],"on":[115],"realworld":[116],"datasets":[117],"demonstrate":[118],"superiority":[119],"compared":[124],"state-of-the-arts.":[126]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}