{"id":"https://openalex.org/W2095111568","doi":"https://doi.org/10.1145/1741906.1741928","title":"Image retrieval by Kekre's transform applied on each row of Walsh transformed VQ codebook","display_name":"Image retrieval by Kekre's transform applied on each row of Walsh transformed VQ codebook","publication_year":2010,"publication_date":"2010-02-26","ids":{"openalex":"https://openalex.org/W2095111568","doi":"https://doi.org/10.1145/1741906.1741928","mag":"2095111568"},"language":"en","primary_location":{"id":"doi:10.1145/1741906.1741928","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1741906.1741928","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference and Workshop on Emerging Trends in Technology","raw_type":"proceedings-article"},"type":"conference-paper","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/A5111875208","display_name":"H. B. Kekre","orcid":null},"institutions":[{"id":"https://openalex.org/I226983648","display_name":"Narsee Monjee Institute of Management Studies","ror":"https://ror.org/04qksbm30","country_code":"IN","type":"education","lineage":["https://openalex.org/I226983648"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"H. B. Kekre","raw_affiliation_strings":["MPSTME, SVKM's NMIMS, Vileparle (W), Mumbai","MPSTME, SVKM's NMIMS, Vileparle (W), Mumbai#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MPSTME, SVKM's NMIMS, Vileparle (W), Mumbai","institution_ids":["https://openalex.org/I226983648"]},{"raw_affiliation_string":"MPSTME, SVKM's NMIMS, Vileparle (W), Mumbai#TAB#","institution_ids":["https://openalex.org/I226983648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028806333","display_name":"Tanuja Sarode","orcid":"https://orcid.org/0000-0002-2167-8289"},"institutions":[{"id":"https://openalex.org/I226983648","display_name":"Narsee Monjee Institute of Management Studies","ror":"https://ror.org/04qksbm30","country_code":"IN","type":"education","lineage":["https://openalex.org/I226983648"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"T. K. Sarode","raw_affiliation_strings":["MPSTME, SVKM's NMIMS, TSEC, Bandra (W), Mumbai","MPSTME, SVKM's NMIMS, TSEC, Bandra (W), Mumbai#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MPSTME, SVKM's NMIMS, TSEC, Bandra (W), Mumbai","institution_ids":["https://openalex.org/I226983648"]},{"raw_affiliation_string":"MPSTME, SVKM's NMIMS, TSEC, Bandra (W), Mumbai#TAB#","institution_ids":["https://openalex.org/I226983648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028359630","display_name":"Sudeep D. Thepade","orcid":"https://orcid.org/0000-0001-7809-4148"},"institutions":[{"id":"https://openalex.org/I226983648","display_name":"Narsee Monjee Institute of Management Studies","ror":"https://ror.org/04qksbm30","country_code":"IN","type":"education","lineage":["https://openalex.org/I226983648"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. D. Thepade","raw_affiliation_strings":["MPSTME, SVKM's NMIMS, Vileparle (W), Mumbai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MPSTME, SVKM's NMIMS, Vileparle (W), Mumbai, India","institution_ids":["https://openalex.org/I226983648"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I226983648"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"127","last_page":"133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification 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/T10824","display_name":"Image Retrieval and Classification 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"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":0.9941999912261963,"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/codebook","display_name":"Codebook","score":0.9521342515945435},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7376305460929871},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7254773378372192},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6652277112007141},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.5920252203941345},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5266097784042358},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5015580654144287},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4869126081466675},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45265454053878784},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.43578919768333435},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.42876285314559937},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.4171144962310791},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4141436219215393},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29993677139282227}],"concepts":[{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.9521342515945435},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7376305460929871},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7254773378372192},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6652277112007141},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.5920252203941345},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5266097784042358},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5015580654144287},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4869126081466675},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45265454053878784},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.43578919768333435},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.42876285314559937},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.4171144962310791},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4141436219215393},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29993677139282227},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1741906.1741928","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1741906.1741928","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference and Workshop on Emerging Trends in Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W167892557","https://openalex.org/W186274417","https://openalex.org/W1485103000","https://openalex.org/W1524408959","https://openalex.org/W1568726629","https://openalex.org/W1576247523","https://openalex.org/W1841724158","https://openalex.org/W1970264581","https://openalex.org/W1973740868","https://openalex.org/W1987563425","https://openalex.org/W2034711879","https://openalex.org/W2035592198","https://openalex.org/W2061993166","https://openalex.org/W2063490865","https://openalex.org/W2065639769","https://openalex.org/W2080095547","https://openalex.org/W2096936443","https://openalex.org/W2117086609","https://openalex.org/W2129693240","https://openalex.org/W2132346632","https://openalex.org/W2139242025","https://openalex.org/W2139528857","https://openalex.org/W2144679084","https://openalex.org/W2163534628","https://openalex.org/W2164812067","https://openalex.org/W2246024665","https://openalex.org/W2273215301","https://openalex.org/W2278854107","https://openalex.org/W2333454175","https://openalex.org/W2335251715","https://openalex.org/W2913399920","https://openalex.org/W4244017338","https://openalex.org/W6694992079"],"related_works":["https://openalex.org/W2148772884","https://openalex.org/W2017514583","https://openalex.org/W2100120615","https://openalex.org/W2147406819","https://openalex.org/W2352648934","https://openalex.org/W1929869830","https://openalex.org/W2387054321","https://openalex.org/W2017401491","https://openalex.org/W2062765737","https://openalex.org/W2012827167"],"abstract_inverted_index":{"The":[0,83,122,136],"new":[1],"technique":[2],"for":[3,29,119,174],"image":[4,34,115,120,144],"retrieval":[5],"using":[6],"the":[7,32,68,92,103,114,139,143],"color-texture":[8,140],"features":[9,141],"extracted":[10],"from":[11],"images":[12,170],"based":[13,163,177],"on":[14,76,88,99,133],"vector":[15,109],"quantization":[16],"with":[17],"Kekre's":[18,69,96],"fast":[19],"codebook":[20],"generation":[21],"is":[22,35,63,74,86,111,172],"proposed.":[23],"This":[24,107],"gives":[25,138,153],"better":[26,154],"discrimination":[27],"capability":[28],"CBIR.":[30,164],"Here":[31],"database":[33,145],"divided":[36],"into":[37],"2x2":[38],"pixel":[39],"windows":[40],"to":[41,54,79,129,160],"obtain":[42],"12":[43],"color":[44],"descriptors":[45],"per":[46,52],"window":[47],"(Red,":[48],"Green":[49],"and":[50,156],"Blue":[51],"pixel)":[53],"form":[55],"a":[56,64],"vector.":[57],"Collection":[58],"of":[59,91,102,142,169],"all":[60],"such":[61],"vectors":[62],"training":[65],"set.":[66],"Then":[67],"Fast":[70],"Codebook":[71],"Generation":[72],"(KFCG)":[73],"applied":[75,87,98,132],"this":[77],"set":[78,149],"get":[80],"16":[81],"codevectors.":[82],"Walsh":[84,104,131,162],"transform":[85,97,108,176],"each":[89,100],"column":[90],"codebook,":[93],"followed":[94],"by":[95],"row":[101],"transformed":[105],"codebook.":[106],"then":[110],"used":[112],"as":[113,127,158],"signature":[116],"(feature":[117],"vector)":[118],"retrieval.":[121],"method":[123,137,152,166],"takes":[124],"lesser":[125],"computations":[126],"compared":[128,159],"conventional":[130],"complete":[134],"image.":[135],"at":[146],"reduced":[147],"feature":[148,178],"size.":[150],"Proposed":[151,165],"precision":[155],"recall":[157],"full":[161],"avoids":[167],"resizing":[168],"which":[171],"required":[173],"any":[175],"extraction":[179],"method.":[180]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}