{"id":"https://openalex.org/W2480784795","doi":"https://doi.org/10.1109/civemsa.2016.7524250","title":"A content-based image retrieval technique with tolerance via multi-page differentiate hashing and binary-tree searching multi-object buckets","display_name":"A content-based image retrieval technique with tolerance via multi-page differentiate hashing and binary-tree searching multi-object buckets","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2480784795","doi":"https://doi.org/10.1109/civemsa.2016.7524250","mag":"2480784795"},"language":"en","primary_location":{"id":"doi:10.1109/civemsa.2016.7524250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/civemsa.2016.7524250","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 Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","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/A5042313313","display_name":"Peter Mack","orcid":null},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Peter Mack","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Massachusetss, Lowell, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Massachusetss, Lowell, MA, USA","institution_ids":["https://openalex.org/I133738476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001646142","display_name":"Dalila B. Megherbi","orcid":"https://orcid.org/0000-0002-1282-597X"},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. B. Megherbi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Massachusetss, Lowell, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Massachusetss, Lowell, MA, USA","institution_ids":["https://openalex.org/I133738476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5042313313"],"corresponding_institution_ids":["https://openalex.org/I133738476"],"apc_list":null,"apc_paid":null,"fwci":0.501,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71918371,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"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":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":0.9994000196456909,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8148807287216187},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.7119479179382324},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.5989702939987183},{"id":"https://openalex.org/keywords/automatic-image-annotation","display_name":"Automatic image annotation","score":0.5928470492362976},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.48717254400253296},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.4389024078845978},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.42503321170806885},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.4151979982852936},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39744752645492554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3875248432159424},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3548274636268616}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8148807287216187},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.7119479179382324},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.5989702939987183},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.5928470492362976},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.48717254400253296},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.4389024078845978},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42503321170806885},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.4151979982852936},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39744752645492554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3875248432159424},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3548274636268616},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/civemsa.2016.7524250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/civemsa.2016.7524250","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 Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1532196380","https://openalex.org/W1967183292","https://openalex.org/W2053245206","https://openalex.org/W2061959470","https://openalex.org/W2109502647","https://openalex.org/W2136663447","https://openalex.org/W2148270808","https://openalex.org/W2247935935","https://openalex.org/W2540255070"],"related_works":["https://openalex.org/W2573424097","https://openalex.org/W2031096531","https://openalex.org/W2905186525","https://openalex.org/W2042500714","https://openalex.org/W826460979","https://openalex.org/W2141292664","https://openalex.org/W3197447665","https://openalex.org/W2602624304","https://openalex.org/W4327774125","https://openalex.org/W2590792214"],"abstract_inverted_index":{"Involve":[0],"manually":[1],"tagging/annotating":[2],"each":[3],"image,":[4],"and":[5,39,54,100,108,153,177,216],"using":[6,18,86,133],"traditional":[7],"discrete":[8],"data":[9,101],"sorting":[10],"techniques,":[11],"such":[12,58,105],"as":[13,59,106,157,165,171],"hashing,":[14],"to":[15,130,137,148,173,209,262],"search":[16,131,212],"images":[17,132,147],"the":[19,63,134,183,190,200,211,223,264,267],"tags/annotations/groups":[20],"of":[21,24,46,82,89,151,155,168,182,192,256,266],"annotations.":[22],"As":[23],"2009,":[25],"Flickr":[26],"had":[27,32,36,41],"3.4":[28],"Billion":[29],"Images,":[30],"PhotoBucket":[31],"7.2":[33],"Billion,":[34,38],"Facebook":[35],"15":[37],"ImageShack":[40],"20":[42],"Billion.":[43],"However,":[44],"none":[45],"these":[47],"sites":[48],"allow":[49,75],"searching":[50,76],"by":[51,79],"image":[52,92,116,135,169,228,233],"content":[53,118],"use":[55,125],"other":[56],"technologies,":[57],"textual":[60,93],"tags":[61],"or":[62,242,253],"like.":[64],"Image":[65],"automatic":[66],"annotation":[67],"is":[68,189,207],"still":[69],"in":[70,77,185,196],"its":[71],"infancy.":[72],"Google":[73],"does":[74],"general":[78],"some":[80,87,149],"kind":[81,88],"image-content":[83],"description":[84],"tagging,":[85],"limited-dictionary":[90],"for":[91,113,142,227],"annotation.":[94],"Although":[95],"several":[96],"high":[97],"performance":[98],"computing":[99],"storage":[102],"libraries":[103],"exist,":[104],"Hadoop":[107],"Spark,":[109],"few":[110],"are":[111,260],"designed":[112],"fuzzy-with-some":[114],"degree-of-similarity":[115],"non-textual":[117],"data-content":[119],"retrieval.":[120],"In":[121,199],"this":[122],"paper":[123],"we":[124],"a":[126,203],"multi-page":[127],"hashing":[128,179],"scheme":[129,206],"itself":[136],"not":[138],"only":[139],"be":[140],"efficient":[141],"identical":[143,252],"images,":[144],"but":[145],"similar":[146],"degree":[150,154],"fuzziness":[152],"similarity":[156],"well.":[158],"The":[159],"proposed":[160,201,224,268],"technique":[161],"uses":[162],"Fourier":[163],"descriptors":[164],"one":[166],"representation":[167],"objects":[170],"inputs":[172],"an":[174],"evenly":[175],"distributed":[176],"differentiable":[178],"scheme.":[180],"One":[181],"challenges":[184],"content-based":[186],"retrieval":[187,229],"schemes":[188],"problem":[191],"overflow,":[193],"usually":[194],"expected":[195],"large":[197],"databases.":[198],"method":[202,225],"Binary-Search-Tree":[204],"(BST)":[205],"used":[208],"decrease":[210],"time":[213],"within":[214],"buckets":[215],"across":[217],"pages":[218],"when":[219],"overflow":[220],"occurs.":[221],"Additionally,":[222],"allows":[226],"based":[230],"on":[231,243],"either":[232],"object":[234,244],"boundary":[235],"contours":[236],"(we":[237,246],"call":[238,247],"here":[239,248],"Lambda":[240],"search)":[241,250],"textures":[245],"Lambda2":[249],"with":[251],"varying":[254],"degrees":[255],"similarity.":[257],"Benchmarking":[258],"Results":[259],"presented":[261],"show":[263],"potential":[265],"method.":[269]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}