{"id":"https://openalex.org/W1972718733","doi":"https://doi.org/10.1145/1980022.1980024","title":"Query by image texture pattern content using Haar transform matrix and image bitmaps","display_name":"Query by image texture pattern content using Haar transform matrix and image bitmaps","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W1972718733","doi":"https://doi.org/10.1145/1980022.1980024","mag":"1972718733"},"language":"en","primary_location":{"id":"doi:10.1145/1980022.1980024","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1980022.1980024","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 &amp; Workshop on Emerging Trends in Technology - ICWET '11","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/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":true,"raw_author_name":"H. B. Kekre","raw_affiliation_strings":["SVKM's NMIMS (Deemed-to-be University), Mumbai, India"],"affiliations":[{"raw_affiliation_string":"SVKM's NMIMS (Deemed-to-be University), Mumbai, India","institution_ids":["https://openalex.org/I226983648"]}]},{"author_position":"middle","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":["SVKM's NMIMS (Deemed-to-be University), Mumbai, India"],"affiliations":[{"raw_affiliation_string":"SVKM's NMIMS (Deemed-to-be University), Mumbai, India","institution_ids":["https://openalex.org/I226983648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056059053","display_name":"Varun K. Banura","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":"V. K. Banura","raw_affiliation_strings":["SVKM's NMIMS (Deemed-to-be University), Mumbai, India"],"affiliations":[{"raw_affiliation_string":"SVKM's NMIMS (Deemed-to-be University), Mumbai, India","institution_ids":["https://openalex.org/I226983648"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111875208"],"corresponding_institution_ids":["https://openalex.org/I226983648"],"apc_list":null,"apc_paid":null,"fwci":1.2878,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.82165203,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"5","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9984999895095825,"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":0.9984999895095825,"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":0.9853000044822693,"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":0.9502000212669373,"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/image-texture","display_name":"Image texture","score":0.7361672520637512},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.695518434047699},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6669767498970032},{"id":"https://openalex.org/keywords/bitmap","display_name":"Bitmap","score":0.6549826264381409},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.637729287147522},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6207219958305359},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.555191695690155},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4994206428527832},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46233201026916504},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46038272976875305},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.4484541118144989},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.4302719533443451},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.37465283274650574},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35778531432151794},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3174353837966919}],"concepts":[{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.7361672520637512},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.695518434047699},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6669767498970032},{"id":"https://openalex.org/C3115412","wikidata":"https://www.wikidata.org/wiki/Q1194708","display_name":"Bitmap","level":2,"score":0.6549826264381409},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.637729287147522},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6207219958305359},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.555191695690155},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4994206428527832},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46233201026916504},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46038272976875305},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.4484541118144989},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.4302719533443451},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37465283274650574},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35778531432151794},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3174353837966919},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1980022.1980024","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1980022.1980024","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 &amp; Workshop on Emerging Trends in Technology - ICWET '11","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":15,"referenced_works":["https://openalex.org/W70252546","https://openalex.org/W167892557","https://openalex.org/W186274417","https://openalex.org/W1489213177","https://openalex.org/W1576247523","https://openalex.org/W1987563425","https://openalex.org/W2034711879","https://openalex.org/W2065639769","https://openalex.org/W2095111568","https://openalex.org/W2131815529","https://openalex.org/W2163534628","https://openalex.org/W2164812067","https://openalex.org/W2273215301","https://openalex.org/W2738544980","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W67877050","https://openalex.org/W2024414655","https://openalex.org/W2342735177","https://openalex.org/W2040420829","https://openalex.org/W2024252608","https://openalex.org/W2746816529","https://openalex.org/W3201443322","https://openalex.org/W2534459178","https://openalex.org/W2031096531","https://openalex.org/W2499029474"],"abstract_inverted_index":{"The":[0,63],"theme":[1],"of":[2,43,55,107,113,119,155,165,180,194],"the":[3,41,48,52,100,105,121,140,145,153,163,173,178,190],"work":[4],"presented":[5],"here":[6],"is":[7,160],"image":[8,19,45,67,76,101,108,126,149,157,167,170,175,184],"retrieval":[9,68,109,127,150,158,176],"using":[10,33,162],"texture":[11,22,61,188],"patterns":[12,23],"generated":[13,32],"from":[14],"Haar":[15,34],"transform":[16,35],"matrix":[17,36],"and":[18,29,37,57,116,133,168,182,196],"bitmaps.":[20],"Different":[21],"namely":[24],"'4-pattern',":[25],"'16-pattern',":[26],"'64-pattern',":[27],"'256-pattern'":[28],"'1024-pattern'":[30],"are":[31,71,97,123],"then":[38],"compared":[39,143],"with":[40,139],"bitmap":[42],"an":[44],"to":[46,144],"generate":[47],"feature":[49],"vector":[50],"as":[51],"matching":[53],"number":[54],"ones":[56,59],"minus":[58],"per":[60,95,125],"pattern.":[62],"proposed":[64,87,141,156],"content":[65],"based":[66,148],"(CBIR)":[69],"techniques":[70],"tested":[72],"on":[73,99],"a":[74],"generic":[75],"database":[77],"having":[78],"1000":[79],"images":[80],"spread":[81],"across":[82],"11":[83],"categories.":[84],"For":[85],"each":[86],"CBIR":[88],"technique":[89],"55":[90],"queries":[91,122],"(randomly":[92],"selected":[93],"5":[94],"category)":[96],"fired":[98],"database.":[102],"To":[103],"compare":[104],"performance":[106,130,154],"techniques,":[110],"crossover":[111,192],"point":[112,193],"average":[114],"precision":[115,132,195],"recall":[117,134,197],"values":[118],"all":[120],"computed":[124],"technique.":[128],"Ameliorated":[129],"(higher":[131],"values)":[135],"has":[136],"been":[137],"observed":[138],"methods":[142,159],"colour":[146],"averaging":[147],"techniques.":[151],"Further":[152],"enhanced":[161],"combination":[164,179],"original":[166,181],"even":[169,183],"part.":[171],"In":[172],"discussed":[174],"methods,":[177],"part":[185],"for":[186],"256-pattern":[187],"gives":[189],"highest":[191],"reflecting":[198],"better":[199],"performance.":[200]},"counts_by_year":[{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
