{"id":"https://openalex.org/W2900785955","doi":"https://doi.org/10.1109/globalsip.2018.8646467","title":"USING DEEP CROSS MODAL HASHING AND ERROR CORRECTING CODES FOR IMPROVING THE EFFICIENCY OF ATTRIBUTE GUIDED FACIAL IMAGE RETRIEVAL","display_name":"USING DEEP CROSS MODAL HASHING AND ERROR CORRECTING CODES FOR IMPROVING THE EFFICIENCY OF ATTRIBUTE GUIDED FACIAL IMAGE RETRIEVAL","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2900785955","doi":"https://doi.org/10.1109/globalsip.2018.8646467","mag":"2900785955"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2018.8646467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2018.8646467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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/A5065139332","display_name":"Veeru Talreja","orcid":"https://orcid.org/0000-0003-3009-9120"},"institutions":[{"id":"https://openalex.org/I12097938","display_name":"West Virginia University","ror":"https://ror.org/011vxgd24","country_code":"US","type":"education","lineage":["https://openalex.org/I12097938"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Veeru Talreja","raw_affiliation_strings":["West Virginia University, Morgantown, USA"],"affiliations":[{"raw_affiliation_string":"West Virginia University, Morgantown, USA","institution_ids":["https://openalex.org/I12097938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043534833","display_name":"Fariborz Taherkhani","orcid":"https://orcid.org/0000-0001-7966-734X"},"institutions":[{"id":"https://openalex.org/I12097938","display_name":"West Virginia University","ror":"https://ror.org/011vxgd24","country_code":"US","type":"education","lineage":["https://openalex.org/I12097938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fariborz Taherkhani","raw_affiliation_strings":["West Virginia University, Morgantown, USA"],"affiliations":[{"raw_affiliation_string":"West Virginia University, Morgantown, USA","institution_ids":["https://openalex.org/I12097938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088532122","display_name":"Matthew C. Valenti","orcid":"https://orcid.org/0000-0001-6089-0509"},"institutions":[{"id":"https://openalex.org/I12097938","display_name":"West Virginia University","ror":"https://ror.org/011vxgd24","country_code":"US","type":"education","lineage":["https://openalex.org/I12097938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew C. Valenti","raw_affiliation_strings":["West Virginia University, Morgantown, USA"],"affiliations":[{"raw_affiliation_string":"West Virginia University, Morgantown, USA","institution_ids":["https://openalex.org/I12097938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021852735","display_name":"Nasser M. Nasrabadi","orcid":"https://orcid.org/0000-0001-8730-627X"},"institutions":[{"id":"https://openalex.org/I12097938","display_name":"West Virginia University","ror":"https://ror.org/011vxgd24","country_code":"US","type":"education","lineage":["https://openalex.org/I12097938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nasser M. Nasrabadi","raw_affiliation_strings":["West Virginia University, Morgantown, USA"],"affiliations":[{"raw_affiliation_string":"West Virginia University, Morgantown, USA","institution_ids":["https://openalex.org/I12097938"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5065139332"],"corresponding_institution_ids":["https://openalex.org/I12097938"],"apc_list":null,"apc_paid":null,"fwci":1.6713,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.88683932,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"564","last_page":"568"},"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":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10057","display_name":"Face and Expression Recognition","score":0.9876999855041504,"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/T11448","display_name":"Face recognition and analysis","score":0.9876999855041504,"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":0.8509536981582642},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.787663996219635},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5920427441596985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5729652047157288},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.54038006067276},{"id":"https://openalex.org/keywords/bitmap","display_name":"Bitmap","score":0.5217362642288208},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.44671744108200073},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.4333553910255432},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42586660385131836},{"id":"https://openalex.org/keywords/error-detection-and-correction","display_name":"Error detection and correction","score":0.41274768114089966},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38239479064941406},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3235756754875183},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12668097019195557}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8509536981582642},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.787663996219635},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5920427441596985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5729652047157288},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.54038006067276},{"id":"https://openalex.org/C3115412","wikidata":"https://www.wikidata.org/wiki/Q1194708","display_name":"Bitmap","level":2,"score":0.5217362642288208},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.44671744108200073},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.4333553910255432},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42586660385131836},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.41274768114089966},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38239479064941406},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3235756754875183},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12668097019195557},{"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip.2018.8646467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2018.8646467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1552767446","https://openalex.org/W1555168537","https://openalex.org/W1599238028","https://openalex.org/W1686810756","https://openalex.org/W1782590233","https://openalex.org/W2085660690","https://openalex.org/W2102497689","https://openalex.org/W2108598243","https://openalex.org/W2171626009","https://openalex.org/W2203543769","https://openalex.org/W2266728343","https://openalex.org/W2464915613","https://openalex.org/W2536305071","https://openalex.org/W2604880013","https://openalex.org/W2963419754","https://openalex.org/W2964121744","https://openalex.org/W2964122907","https://openalex.org/W2964280870","https://openalex.org/W4285719527","https://openalex.org/W6631190155","https://openalex.org/W6632992187","https://openalex.org/W6633420256","https://openalex.org/W6637373629","https://openalex.org/W6685282478","https://openalex.org/W6688143368"],"related_works":["https://openalex.org/W2350456333","https://openalex.org/W2101993108","https://openalex.org/W2356608866","https://openalex.org/W2355840328","https://openalex.org/W1975966184","https://openalex.org/W2137246017","https://openalex.org/W2364393392","https://openalex.org/W3126935378","https://openalex.org/W2377096008","https://openalex.org/W2809136181"],"abstract_inverted_index":{"With":[0],"benefits":[1],"of":[2,43,105,112,153],"fast":[3],"query":[4,50],"speed":[5],"and":[6,82,115],"low":[7],"storage":[8],"cost,":[9],"hashing-based":[10],"image":[11,148,158],"retrieval":[12,131,149,159],"approaches":[13],"have":[14],"garnered":[15],"considerable":[16],"attention":[17],"from":[18,56],"the":[19,41,57,76,80,100,106,110,154],"research":[20],"community.":[21],"In":[22,59],"this":[23,60],"paper,":[24],"we":[25,62],"propose":[26],"a":[27,38,124],"novel":[28],"Error-Corrected":[29],"Deep":[30],"Cross":[31],"Modal":[32],"Hashing":[33],"(CMH-ECC)":[34],"method":[35],"which":[36,73],"uses":[37],"bitmap":[39],"specifying":[40],"presence":[42],"certain":[44],"facial":[45,140],"attributes":[46],"as":[47],"an":[48,68],"input":[49],"to":[51,97,122],"retrieve":[52],"relevant":[53],"face":[54,81,147,157],"images":[55],"database.":[58],"architecture,":[61],"generate":[63],"compact":[64],"hash":[65],"codes":[66,96,119],"using":[67,135],"end-to-end":[69],"deep":[70,89,113],"learning":[71,90],"module,":[72],"effectively":[74],"captures":[75],"inherent":[77],"relationships":[78],"between":[79,102],"attribute":[83],"modality.":[84],"We":[85],"also":[86],"integrate":[87],"our":[88,145],"module":[91],"with":[92,129,139],"forward":[93,116],"error":[94,117],"correction":[95,118],"further":[98],"reduce":[99],"distance":[101],"different":[103],"modalities":[104,142],"same":[107],"subject.":[108],"Specifically,":[109],"properties":[111],"hashing":[114,127],"are":[120],"exploited":[121],"design":[123],"cross":[125],"modal":[126],"framework":[128],"high":[130],"performance.":[132],"Experimental":[133],"results":[134],"two":[136],"standard":[137],"datasets":[138],"attributes-image":[141],"indicate":[143],"that":[144],"CMH-ECC":[146],"model":[150],"outperforms":[151],"most":[152],"current":[155],"attribute-based":[156],"approaches.":[160]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}