{"id":"https://openalex.org/W2559612992","doi":"https://doi.org/10.1109/wcsp.2016.7752681","title":"Generating structure-aware compositional sketches for simultaneous object retrieval and localization","display_name":"Generating structure-aware compositional sketches for simultaneous object retrieval and localization","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2559612992","doi":"https://doi.org/10.1109/wcsp.2016.7752681","mag":"2559612992"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp.2016.7752681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2016.7752681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th International Conference on Wireless Communications & Signal Processing (WCSP)","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/A5100629134","display_name":"Dongyu Zhang","orcid":"https://orcid.org/0000-0002-7595-0137"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dongyu Zhang","raw_affiliation_strings":["Sun Yat-Sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090181959","display_name":"Tianfang Xiao","orcid":"https://orcid.org/0000-0001-5116-7642"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianfang Xiao","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077419230","display_name":"Xiying Li","orcid":"https://orcid.org/0000-0002-4753-8022"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiying Li","raw_affiliation_strings":["Sun Yat-Sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100629134"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13259826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T10824","display_name":"Image Retrieval and Classification 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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9941999912261963,"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/hash-function","display_name":"Hash function","score":0.7752972841262817},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7349507212638855},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.7232838869094849},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.6816980242729187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6228619813919067},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6108287572860718},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5832318663597107},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5132837295532227},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.49360787868499756},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.47619736194610596},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4512861371040344},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4508570730686188},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.36593741178512573},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3514195382595062},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.21730557084083557},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1599559485912323}],"concepts":[{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7752972841262817},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7349507212638855},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.7232838869094849},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.6816980242729187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6228619813919067},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6108287572860718},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5832318663597107},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5132837295532227},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.49360787868499756},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.47619736194610596},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4512861371040344},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4508570730686188},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.36593741178512573},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3514195382595062},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.21730557084083557},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1599559485912323},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/wcsp.2016.7752681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2016.7752681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th International Conference on Wireless Communications & Signal Processing (WCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7099999785423279}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335795","display_name":"Science and Technology Planning Project of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W73858164","https://openalex.org/W1606858007","https://openalex.org/W1871385855","https://openalex.org/W1993692165","https://openalex.org/W2009049007","https://openalex.org/W2023991840","https://openalex.org/W2032448673","https://openalex.org/W2081332440","https://openalex.org/W2131846894","https://openalex.org/W2141362318","https://openalex.org/W2340793067","https://openalex.org/W2937970997","https://openalex.org/W2963048156"],"related_works":["https://openalex.org/W4381744218","https://openalex.org/W2767764284","https://openalex.org/W2144265691","https://openalex.org/W2059244188","https://openalex.org/W1981124010","https://openalex.org/W3192025065","https://openalex.org/W3087964089","https://openalex.org/W4205587245","https://openalex.org/W4211126162","https://openalex.org/W3158263601"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,58,87,95],"simple":[4],"yet":[5],"effective":[6],"retrieval":[7,11,33],"framework":[8],"for":[9],"object":[10,24,113,132],"and":[12,78,147],"localization.":[13],"Our":[14,139],"method":[15,20,50],"is":[16,69],"based":[17],"on":[18,142],"min-Hash":[19],"using":[21],"compositional":[22],"structure-preserved":[23],"representation.":[25],"Compared":[26],"to":[27,43,71],"the":[28,53,107,111,117,131],"traditional":[29],"hash-based":[30],"Content-based":[31],"image":[32,47,60,145],"(CBIR)":[34],"system":[35],"which":[36,130],"always":[37],"suffers":[38],"from":[39,94,110],"low":[40],"recall":[41],"due":[42],"insufficient":[44],"discriminability":[45],"of":[46,64,89,97,119],"representations,":[48],"our":[49],"contributes":[51],"in":[52,116,129],"following":[54],"three":[55],"terms:":[56],"firstly,":[57],"new":[59],"feature,":[61],"namely":[62],"Pair":[63],"Geometric":[65],"Coupled":[66],"Words":[67],"(PGCW),":[68],"presented":[70],"impose":[72],"spatial":[73],"context":[74],"into":[75],"visual":[76],"words":[77],"generate":[79],"very":[80],"discriminative":[81],"hash":[82,120],"functions.":[83],"Secondly,":[84],"we":[85,123],"select":[86],"batch":[88],"hashing":[90,108],"functions":[91,109],"by":[92,105,137],"learning":[93],"number":[96],"supervised":[98],"retrievals.":[99],"The":[100],"sketches":[101,121],"are":[102],"then":[103],"generated":[104],"selecting":[106],"constructed":[112],"model.":[114],"Finally,":[115],"step":[118],"matching,":[122],"introduce":[124],"an":[125],"auxiliary":[126],"offset":[127],"space,":[128],"localization":[133],"can":[134],"be":[135],"estimated":[136],"clustering.":[138],"approach":[140],"valids":[141],"popular":[143],"public":[144],"databases":[146],"outperforms":[148],"state-of-the-art":[149],"methods.":[150]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}