{"id":"https://openalex.org/W4416078490","doi":"https://doi.org/10.1145/3746252.3760847","title":"Image Hashing Based on Hamming Ball Spacing","display_name":"Image Hashing Based on Hamming Ball Spacing","publication_year":2025,"publication_date":"2025-11-10","ids":{"openalex":"https://openalex.org/W4416078490","doi":"https://doi.org/10.1145/3746252.3760847"},"language":null,"primary_location":{"id":"doi:10.1145/3746252.3760847","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746252.3760847","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3746252.3760847","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3746252.3760847","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zhaomeng Ma","orcid":"https://orcid.org/0009-0000-5228-1164"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaomeng Ma","raw_affiliation_strings":["School of Artificial Intelligence and Data Science, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0000-5228-1164","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Data Science, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Haoran Chang","orcid":"https://orcid.org/0009-0005-6969-3137"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoran Chang","raw_affiliation_strings":["School of Artificial Intelligence and Data Science, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0005-6969-3137","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Data Science, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010685369","display_name":"Hailong Shen","orcid":"https://orcid.org/0009-0007-0101-2598"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hailong Shen","raw_affiliation_strings":["School of Artificial Intelligence and Data Science, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0007-0101-2598","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Data Science, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103039785","display_name":"Yanzhi Song","orcid":"https://orcid.org/0000-0002-7324-3797"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanzhi Song","raw_affiliation_strings":["School of Mathematical Sciences, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-7324-3797","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29312166,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5016","last_page":"5020"},"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":0.8826000094413757,"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":0.8826000094413757,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.029400000348687172,"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":0.019600000232458115,"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":0.8230999708175659},{"id":"https://openalex.org/keywords/hamming-space","display_name":"Hamming space","score":0.6467000246047974},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.6259999871253967},{"id":"https://openalex.org/keywords/hamming-distance","display_name":"Hamming distance","score":0.5942999720573425},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.5870000123977661},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5235000252723694},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.4948999881744385},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.48579999804496765},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.4661000072956085}],"concepts":[{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.8230999708175659},{"id":"https://openalex.org/C2779494224","wikidata":"https://www.wikidata.org/wiki/Q5645799","display_name":"Hamming space","level":5,"score":0.6467000246047974},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.6259999871253967},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.5942999720573425},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.5870000123977661},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.569599986076355},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5235000252723694},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.4948999881744385},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.48579999804496765},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.4661000072956085},{"id":"https://openalex.org/C73150493","wikidata":"https://www.wikidata.org/wiki/Q853922","display_name":"Hamming code","level":4,"score":0.4560000002384186},{"id":"https://openalex.org/C112932734","wikidata":"https://www.wikidata.org/wiki/Q2322550","display_name":"Hamming(7,4)","level":5,"score":0.4526999890804291},{"id":"https://openalex.org/C108546238","wikidata":"https://www.wikidata.org/wiki/Q4228982","display_name":"Rolling hash","level":5,"score":0.4390999972820282},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4343999922275543},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.4323999881744385},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42899999022483826},{"id":"https://openalex.org/C36375716","wikidata":"https://www.wikidata.org/wiki/Q6553456","display_name":"Linear hashing","level":5,"score":0.4171000123023987},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41440001130104065},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38019999861717224},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.3668000102043152},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.35429999232292175},{"id":"https://openalex.org/C63361517","wikidata":"https://www.wikidata.org/wiki/Q5645805","display_name":"Hamming weight","level":5,"score":0.33340001106262207},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.31619998812675476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3034999966621399},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.30070000886917114},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29820001125335693},{"id":"https://openalex.org/C187062812","wikidata":"https://www.wikidata.org/wiki/Q6322840","display_name":"K-independent hashing","level":5,"score":0.2703000009059906},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.2630000114440918}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746252.3760847","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746252.3760847","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3746252.3760847","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3746252.3760847","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746252.3760847","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3746252.3760847","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1166915928","display_name":null,"funder_award_id":"12301659","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3274716713","display_name":null,"funder_award_id":"12301659,92270205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5657117440","display_name":null,"funder_award_id":"92270205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325599","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416078490.pdf","grobid_xml":"https://content.openalex.org/works/W4416078490.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W2141362318","https://openalex.org/W2148809531","https://openalex.org/W2915217211","https://openalex.org/W2963154697","https://openalex.org/W2964280870","https://openalex.org/W3034239448","https://openalex.org/W3035305184","https://openalex.org/W4312974679","https://openalex.org/W4386076017"],"related_works":[],"abstract_inverted_index":{"Image":[0],"hashing":[1],"has":[2],"been":[3],"widely":[4],"used":[5,65],"in":[6,60,77,103],"large-scale":[7,148],"image":[8],"retrieval":[9,18,29,141,160],"due":[10],"to":[11,32,57,71,124,139],"its":[12],"enhancement":[13],"of":[14,74,100,115,128,159,166],"storage":[15],"space":[16],"and":[17,44,111,136],"speed.":[19],"Recently,":[20],"methods":[21,55],"based":[22],"on":[23,145],"hash":[24,36,68,75,94,134,137],"centers":[25,76,95,138],"have":[26],"achieved":[27],"impressive":[28],"performance,":[30],"aiming":[31],"assign":[33],"mutually":[34],"separated":[35],"codes":[37,48],"as":[38,66],"center":[39],"points":[40],"for":[41],"each":[42],"category":[43,101],"learn":[45],"compact":[46],"binary":[47],"by":[49,96,163],"minimizing":[50],"intra-class":[51],"variance.":[52],"However,":[53],"current":[54],"tend":[56],"generate":[58],"codebooks":[59],"advance,":[61],"which":[62,107],"are":[63,122],"then":[64],"pre-defined":[67],"centers,":[69],"leading":[70],"compromised":[72],"quality":[73],"instance-level":[78,149],"datasets":[79,150],"with":[80],"excessive":[81],"categories.":[82,167],"To":[83],"address":[84],"this":[85],"problem,":[86],"we":[87,131],"designed":[88],"a":[89],"training":[90],"strategy":[91],"that":[92,152],"learns":[93],"constraining":[97],"the":[98,108,112,126,157,164],"margin":[99],"clusters":[102],"Hamming":[104,116],"space,":[105],"during":[106],"Gilbert-Varshamov":[109],"bound":[110,114],"upper":[113],"ball":[117],"packing":[118],"from":[119],"coding":[120],"theory":[121],"utilized":[123],"determine":[125],"range":[127],"margins.":[129],"Finally,":[130],"jointly":[132],"optimize":[133],"encoder":[135],"improve":[140],"performance.":[142],"Extensive":[143],"experiments":[144],"more":[146],"challenging":[147],"demonstrate":[151],"our":[153],"method":[154],"effectively":[155],"overcomes":[156],"limitation":[158],"performance":[161],"imposed":[162],"number":[165],"Code":[168],"is":[169],"at:":[170],"https://github.com/GrimmAI/Hamming-Ball-Hashing.git.":[171]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-10T00:00:00"}